forked from diegoecab/oci-deal-accelerator
CLI improvements: --json output, filters, arch-search, ecal-score, deck fixes
6 CLI improvements from MCP integration testing + deck bug fixes: - kb_cli.py: --json on search, new arch-search and ecal-score subcommands, _load_yaml handles multi-document YAML (fixes health command on 32 files) - findings_cli.py: --json on search/list/stats, filter flags on search (--product, --severity, --tag, --client, --status, --category) - validate-architecture.py: --profile optional, --output defaults to stdout - common-objections.yaml + ecal-artefacts-catalog.yaml: merge front matter - oci_deck_gen.py: fix slide 9 cost_notes char iteration, fix slide 12 migration field mapping (duration/milestones), dynamic phase spacing - proposal-spec.yaml: replace real name with fictional Carlos Mendoza All 14 skill options validated with generated deliverables. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
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[
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{
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"title": "Deploy Oracle Autonomous Database on Oracle Database@Azure",
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"url": "https://docs.oracle.com/en/solutions/deploy-autonomous-database-db-at-azure/index.html",
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"type": "reference-architecture",
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"date": "2024-10",
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"services": [
|
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"adb-s",
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"adg",
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"azure"
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],
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"tags": [
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"database",
|
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"multicloud",
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"azure",
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"ha-dr",
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"autonomous"
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],
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"summary": "Multi-AZ deployment of ADB-S on Database@Azure with Autonomous Data Guard. Recommends VNet peering between app and DB VNets, TAC for availability, and ADG standby in a different AZ for automatic failover.\n",
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"terraform": null
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},
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{
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"title": "Oracle MAA for Oracle Database@Azure",
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"url": "https://docs.oracle.com/en/solutions/oracle-maa-db-at-azure/index.html",
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"type": "reference-architecture",
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"date": "2025-05",
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"services": [
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"exacs",
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"adg",
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"vault",
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"azure"
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],
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"tags": [
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"database",
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"multicloud",
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"azure",
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"ha-dr",
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"autonomous"
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],
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"summary": "Cross-AZ Data Guard on ExaCS in Database@Azure. Active Data Guard recommended for cross-AZ replication (block repair, app continuity, read offload). Backups to Autonomous Recovery Service.\n",
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"terraform": null
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},
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{
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"title": "Implement disaster recovery with local and regional standbys on Oracle Database@Azure",
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"url": "https://docs.oracle.com/en/solutions/local-regional-standby-dr-db-at-azure/index.html",
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"type": "reference-architecture",
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"date": "2025-05",
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"services": [
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"exacs",
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"adg",
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"azure",
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"fsdr"
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],
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"tags": [
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"database",
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"multicloud",
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"azure",
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"ha-dr"
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],
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"summary": "Local standby for HA within same region, regional standby for DR across Azure regions. Uses Active Data Guard with Fast-Start Failover. Recommends Full Stack DR service for automated failover orchestration.\n",
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"terraform": null
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},
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{
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"title": "Implement disaster recovery with multi-region standby on Oracle Database@Azure",
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"url": "https://docs.oracle.com/en/solutions/multi-region-standby-dr-db-at-azure/index.html",
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"type": "reference-architecture",
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"date": "2025-04",
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"services": [
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"exacs",
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"adg",
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"azure"
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],
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"tags": [
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"database",
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"multicloud",
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"azure",
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"ha-dr"
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],
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"summary": "Multi-region DR for ExaCS on Database@Azure using Data Guard. Cross-region standby with switchover/failover capabilities. Includes network topology for Azure-to-Azure cross-region connectivity.\n",
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"terraform": null
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},
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{
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"title": "Implement cross-region disaster recovery for Exadata Database on Oracle Database@Azure",
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"url": "https://docs.oracle.com/en/solutions/exadb-dr-on-db-azure/index.html",
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"type": "reference-architecture",
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"date": "2025-01",
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"services": [
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"exacs",
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"adg",
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"azure",
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"fsdr"
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],
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"tags": [
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"database",
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"multicloud",
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"azure",
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"ha-dr"
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],
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"summary": "Cross-region DR for ExaCS on Database@Azure. OCI-managed networks for peering (better performance, first 10 TB/month free). Data Guard for cross-region replication, FSDR for automated failover orchestration.\n",
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"terraform": "https://github.com/oracle-quickstart/oci-multicloud-azure"
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},
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{
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"title": "Deploy Active Data Guard Far Sync to protect data across Oracle Database@Azure regions",
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"url": "https://docs.oracle.com/en/solutions/active-data-guard-far-sync-oracle-db-at-azure/index.html",
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"type": "reference-architecture",
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"date": "2025-02",
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"services": [
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"exacs",
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"adg",
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"azure"
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],
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"tags": [
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"database",
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"multicloud",
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"azure",
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"ha-dr"
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],
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"summary": "Far Sync instance for zero data loss protection across Azure regions. Synchronous redo transport to Far Sync, async to remote standby. Eliminates performance impact of synchronous shipping over long distances.\n",
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"terraform": null
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},
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{
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"title": "Implement Oracle Database Autonomous Recovery Service with Oracle Database@Azure",
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"url": "https://docs.oracle.com/en/solutions/implement-recovery-service-db-at-azure/index.html",
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"type": "reference-architecture",
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"date": "2025-01",
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"services": [
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"exacs",
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"azure"
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],
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"tags": [
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"database",
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"multicloud",
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"azure",
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"ha-dr"
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],
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"summary": "Autonomous Recovery Service for ExaCS backups on Database@Azure. Automated backup management with real-time protection and point-in-time recovery capabilities.\n",
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"terraform": null
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},
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{
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"title": "Deploy Oracle Autonomous Database on Oracle Database@Google Cloud",
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"url": "https://docs.oracle.com/en/solutions/deploy-adb-db-at-google-cloud/index.html",
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"type": "reference-architecture",
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"date": "2025-03",
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"services": [
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"adb-s",
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"adg",
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"google-cloud"
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],
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"tags": [
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"database",
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"multicloud",
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"ha-dr",
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"autonomous"
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],
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"summary": "ADB-S on Database@Google Cloud with cross-region ADG. Non-overlapping CIDR between VPC and VCN required. App tier should span 2+ AZs with Google Global Load Balancer for failover.\n",
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"terraform": null
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},
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{
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"title": "Deploy Active Data Guard Far Sync to protect data across Oracle Database@AWS regions",
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"url": "https://docs.oracle.com/en/solutions/dr-active-dg-farsync-db-at-aws/index.html",
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"type": "reference-architecture",
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"date": "2025-09",
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"services": [
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"exacs",
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"adg",
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"aws"
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],
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"tags": [
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"database",
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"multicloud",
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"aws",
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"ha-dr"
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],
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"summary": "Far Sync instance for zero data loss protection across AWS regions. Synchronous redo to local Far Sync, asynchronous to remote standby. Requires cross-region AWS networking for redo transport.\n",
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"terraform": null
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},
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{
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"title": "Implement disaster recovery with local and regional standbys on Oracle Database@AWS",
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"url": "https://docs.oracle.com/en/solutions/dr-local-regional-standby-db-at-aws/index.html",
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"type": "reference-architecture",
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"date": "2025-09",
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"services": [
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"exacs",
|
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"adg",
|
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"aws",
|
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"fsdr"
|
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],
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"tags": [
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"database",
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"multicloud",
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"aws",
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"ha-dr"
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],
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"summary": "Local standby for HA within same AWS region, regional standby for DR. Active Data Guard with Fast-Start Failover for automated failover. Full Stack DR service for cross-service failover orchestration.\n",
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"terraform": null
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||||
},
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{
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"title": "Implement disaster recovery with cross-zonal Data Guard on Oracle Database@AWS",
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"url": "https://docs.oracle.com/en/solutions/cross-zone-dr-db-at-aws/index.html",
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"type": "reference-architecture",
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"date": "2025-08",
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"services": [
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"exacs",
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"adg",
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"aws"
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],
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"tags": [
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"database",
|
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"multicloud",
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"aws",
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"ha-dr"
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],
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"summary": "Cross-AZ Data Guard on Database@AWS for HA. Synchronous redo transport between AZs for zero data loss. Fast-Start Failover for automatic database switchover on failure.\n",
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"terraform": null
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},
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{
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"title": "Implement disaster recovery with cross-regional Data Guard on Oracle Database@AWS",
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"url": "https://docs.oracle.com/en/solutions/implement-dr-cross-region-dg-odb-aws/index.html",
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"type": "reference-architecture",
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"date": "2025-08",
|
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"services": [
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"exacs",
|
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"adg",
|
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"aws"
|
||||
],
|
||||
"tags": [
|
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"database",
|
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"multicloud",
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"aws",
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"ha-dr"
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],
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"summary": "Cross-region Data Guard on Database@AWS for DR. Asynchronous redo transport for cross-region replication. Planned switchover for maintenance, forced failover for disaster scenarios.\n",
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"terraform": null
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},
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{
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"title": "Migrate Oracle RAC Databases to OCI",
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"url": "https://docs.oracle.com/en/solutions/ensure-ha-migrate-vmware-workloads-to-oci/migrate-oracle-rac-databases1.html",
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"type": "reference-architecture",
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"date": "2025-01",
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"services": [
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"exacs",
|
||||
"exascale",
|
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"adb-d",
|
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"base-db"
|
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],
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"tags": [
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"database",
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"migration",
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"ha-dr"
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],
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"summary": "Compares 4 RAC migration targets: ExaCS Dedicated, Exascale, ADB-D, and 2-node RAC on Base DB. ExaCS recommended for full RAC feature parity. Exascale for 23ai-only without dedicated infra commitment.\n",
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"terraform": null
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},
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{
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||||
"title": "Deploy ORDS with High Availability on OCI",
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"url": "https://docs.oracle.com/en/solutions/deploy-ords-ha-oci/index.html",
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||||
"type": "reference-architecture",
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||||
"date": "2025-06",
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"services": [
|
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"compute",
|
||||
"load-balancer",
|
||||
"adb-s",
|
||||
"bastion"
|
||||
],
|
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"tags": [
|
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"database",
|
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"application",
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"ha-dr"
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],
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||||
"summary": "Multi-instance ORDS behind OCI Load Balancer for HA REST access to Oracle DB. Works with ADB-S, DBCS, or ExaCS. Recommends DB in private subnet, ORDS in public with granular NSG rules.\n",
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||||
"terraform": null
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||||
},
|
||||
{
|
||||
"title": "Configure Data Guard for Oracle Exadata Database Service on Dedicated Infrastructure",
|
||||
"url": "https://docs.oracle.com/en/solutions/dataguard-exadata-dedicated-infrastructure/index.html",
|
||||
"type": "reference-architecture",
|
||||
"date": "2025-07",
|
||||
"services": [
|
||||
"exacs",
|
||||
"adg"
|
||||
],
|
||||
"tags": [
|
||||
"database",
|
||||
"ha-dr"
|
||||
],
|
||||
"summary": "Data Guard configuration for ExaCS Dedicated. Active Data Guard for read offload and automatic failover. Cross-region standby for DR with Fast-Start Failover for automated switchover.\n",
|
||||
"terraform": null
|
||||
},
|
||||
{
|
||||
"title": "Back up from Exadata on Dedicated Infrastructure to Zero Data Loss Autonomous Recovery",
|
||||
"url": "https://docs.oracle.com/en/solutions/back-up-exadata-dedicated-zero-data-loss-recovery/index.html",
|
||||
"type": "reference-architecture",
|
||||
"date": "2025-07",
|
||||
"services": [
|
||||
"exacs"
|
||||
],
|
||||
"tags": [
|
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"database",
|
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"ha-dr"
|
||||
],
|
||||
"summary": "Autonomous Recovery Service for ExaCS backups. Automated backup management with real-time redo protection. Validates backup recoverability automatically.\n",
|
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"terraform": null
|
||||
},
|
||||
{
|
||||
"title": "Configure a standby database for disaster recovery using Oracle Exadata Database Service on Cloud@Customer",
|
||||
"url": "https://docs.oracle.com/en/solutions/exadata-cloud-at-customer-standby/index.html",
|
||||
"type": "reference-architecture",
|
||||
"date": "2025-07",
|
||||
"services": [
|
||||
"exacs",
|
||||
"adg"
|
||||
],
|
||||
"tags": [
|
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"database",
|
||||
"ha-dr"
|
||||
],
|
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"summary": "Data Guard standby on ExaCS Cloud@Customer for hybrid DR. On-premises primary with cloud standby, or cloud primary with on-premises standby for data sovereignty requirements.\n",
|
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"terraform": null
|
||||
},
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{
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"title": "Learn about maximum availability architecture for PeopleSoft",
|
||||
"url": "https://docs.oracle.com/en/solutions/learn-about-maa-for-peoplesoft/index.html",
|
||||
"type": "reference-architecture",
|
||||
"date": "2024-08",
|
||||
"services": [
|
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"exacs",
|
||||
"adg",
|
||||
"load-balancer",
|
||||
"compute"
|
||||
],
|
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"tags": [
|
||||
"application",
|
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"ha-dr",
|
||||
"peoplesoft"
|
||||
],
|
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"summary": "MAA for PeopleSoft on OCI. Active Data Guard for database HA/DR, multi-instance PIA behind Load Balancer, Process Scheduler on multiple nodes for batch processing resilience.\n",
|
||||
"terraform": null
|
||||
},
|
||||
{
|
||||
"title": "Provision and deploy a maximum availability solution for PeopleSoft on Oracle Cloud",
|
||||
"url": "https://docs.oracle.com/en/solutions/deploy-maa-for-peoplesoft-on-oci/index.html",
|
||||
"type": "reference-architecture",
|
||||
"date": "2024-08",
|
||||
"services": [
|
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"exacs",
|
||||
"adg",
|
||||
"load-balancer",
|
||||
"compute"
|
||||
],
|
||||
"tags": [
|
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"application",
|
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"ha-dr",
|
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"peoplesoft"
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||||
],
|
||||
"summary": "Step-by-step PeopleSoft MAA deployment on OCI. Terraform stacks for infrastructure provisioning, Data Guard configuration, and PeopleSoft application tier setup.\n",
|
||||
"terraform": null
|
||||
},
|
||||
{
|
||||
"title": "Run PeopleSoft ERP and Autonomous Database in an HA multicloud deployment",
|
||||
"url": "https://docs.oracle.com/en/solutions/bread-multicloud-on-oci/index.html",
|
||||
"type": "reference-architecture",
|
||||
"date": "2025-02",
|
||||
"services": [
|
||||
"adb-s",
|
||||
"compute",
|
||||
"load-balancer"
|
||||
],
|
||||
"tags": [
|
||||
"application",
|
||||
"ha-dr",
|
||||
"multicloud",
|
||||
"peoplesoft",
|
||||
"autonomous"
|
||||
],
|
||||
"summary": "PeopleSoft HA with ADB-S across cloud providers. Application tier on OCI compute with database on ADB-S. Multi-AZ deployment for high availability with automatic failover.\n",
|
||||
"terraform": null
|
||||
}
|
||||
]
|
||||
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@@ -0,0 +1,195 @@
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||||
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||||
{
|
||||
"id": "DEL-20",
|
||||
"name": "Value Realization",
|
||||
"phase": "deliver",
|
||||
"step": "improve",
|
||||
"skill_support": "auto_generate",
|
||||
"customer_facing": true,
|
||||
"relevance": "likely_relevant"
|
||||
},
|
||||
{
|
||||
"id": "DEL-21",
|
||||
"name": "Customer Success Story",
|
||||
"phase": "deliver",
|
||||
"step": "improve",
|
||||
"skill_support": "reference",
|
||||
"customer_facing": true,
|
||||
"relevance": "none"
|
||||
},
|
||||
{
|
||||
"id": "DEL-22",
|
||||
"name": "Improvement Actions",
|
||||
"phase": "deliver",
|
||||
"step": "improve",
|
||||
"skill_support": "reference",
|
||||
"customer_facing": true,
|
||||
"relevance": "none"
|
||||
}
|
||||
]
|
||||
}
|
||||
Binary file not shown.
BIN
examples/output-cli-improvements-deliverables/exacs-bom.xlsx
Normal file
BIN
examples/output-cli-improvements-deliverables/exacs-bom.xlsx
Normal file
Binary file not shown.
Binary file not shown.
Binary file not shown.
@@ -0,0 +1,125 @@
|
||||
[
|
||||
{
|
||||
"id": "FF-202603-008",
|
||||
"date": "2026-03-14",
|
||||
"contributor": {
|
||||
"name": "Diego Cabrera",
|
||||
"team": "Field Architecture",
|
||||
"client": "Vector Search Customer",
|
||||
"context": "AI Vector Search engagement",
|
||||
"confidence": "validated"
|
||||
},
|
||||
"product": "ADB-S",
|
||||
"version": "23ai",
|
||||
"severity": "HIGH",
|
||||
"category": "limitation",
|
||||
"summary": "Distributed HNSW indexes not available \u2014 100M+ vector search requires partitioning workaround",
|
||||
"detail": "ADB-S AI Vector Search supports HNSW indexes but they are node-local on\nmulti-node RAC (\u226564 ECPUs). At 100M+ vectors, queries on a 2-node RAC\nmiss vectors on the other node. Results are either incomplete or require\ncross-node scan that blows P95 >200ms.\n\nWorkaround from internal DB PM team: hash-partition vector table on\nvector_id, create partition-local HNSW index. Queries hit single\npartition on single node, maintaining <50ms at 100M scale.\n\nRequires table redesign \u2014 cannot be applied to existing unpartitioned\nvector tables without data reload.\n",
|
||||
"workaround": "Hash-partition vector table by vector_id. Create HNSW index as LOCAL\n(partition-level). Ensure partition pruning in queries.\nSource: internal DB PM team contact [name].\nValidated on ADB-S 23ai with 120M vectors, P95 = 38ms on 64 ECPU.\n",
|
||||
"oracle_sr": "",
|
||||
"status": "acknowledged",
|
||||
"resolved_date": null,
|
||||
"resolution": null,
|
||||
"affects_matrix": "AI Vector Search (HNSW)",
|
||||
"tags": [
|
||||
"vector-search",
|
||||
"hnsw",
|
||||
"distributed",
|
||||
"rac",
|
||||
"partitioning",
|
||||
"100m",
|
||||
"latency",
|
||||
"ai-vector-search"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "FF-202603-002",
|
||||
"date": "2026-03-08",
|
||||
"contributor": {
|
||||
"name": "Diego Cabrera",
|
||||
"team": "Field Architecture",
|
||||
"client": "Strategic Migration Customer",
|
||||
"context": "Production migration",
|
||||
"confidence": "validated"
|
||||
},
|
||||
"product": "ADB-S Dedicated Elastic Pool (DEP)",
|
||||
"version": "23ai",
|
||||
"severity": "HIGH",
|
||||
"category": "limitation",
|
||||
"summary": "ADG must be disabled before joining Dedicated Elastic Pool",
|
||||
"detail": "When attempting to add an ADB-S instance with active Autonomous Data Guard\nto a Dedicated Elastic Pool, the operation fails. ADG must be explicitly\ndisabled before the instance can join the DEP. This is a known issue\nacknowledged by Oracle but not prominently documented.\n\nImpact: requires a brief HA gap during DEP onboarding. Must coordinate\nwith the customer's change window.\n",
|
||||
"workaround": "Disable ADG \u2192 join DEP \u2192 re-enable ADG. Plan for ~15 min HA gap.",
|
||||
"oracle_sr": "",
|
||||
"status": "acknowledged",
|
||||
"resolved_date": null,
|
||||
"resolution": null,
|
||||
"affects_matrix": "Elastic Pool Membership",
|
||||
"tags": [
|
||||
"dep",
|
||||
"adg",
|
||||
"elastic-pool",
|
||||
"ha",
|
||||
"limitation"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "FF-202603-004",
|
||||
"date": "2026-03-01",
|
||||
"contributor": {
|
||||
"name": "Diego Cabrera",
|
||||
"team": "Field Architecture",
|
||||
"client": "Strategic Migration Customer",
|
||||
"context": "Production migration",
|
||||
"confidence": "validated"
|
||||
},
|
||||
"product": "ADB-S",
|
||||
"version": "23ai",
|
||||
"severity": "MEDIUM",
|
||||
"category": "gotcha",
|
||||
"summary": "DEP provisioning takes days to weeks depending on capacity",
|
||||
"detail": "Dedicated Elastic Pool provisioning is NOT instant like ADB-S Serverless.\nIt requires physical Exadata infrastructure allocation. Lead time varies\nfrom 3 days (if capacity available in region) to 2-3 weeks (if capacity\nneeds to be provisioned).\n\nBilling starts only at AVAILABLE state, not at request time.\nCo-location of existing ADB-S instances happens at the next maintenance\nwindow after joining, not immediately.\n",
|
||||
"workaround": "Request DEP early in the project timeline. Don't make it a critical-path dependency in week 1.",
|
||||
"oracle_sr": "",
|
||||
"status": "acknowledged",
|
||||
"resolved_date": null,
|
||||
"resolution": null,
|
||||
"affects_matrix": "Elastic Pool Membership",
|
||||
"tags": [
|
||||
"dep",
|
||||
"provisioning",
|
||||
"lead-time",
|
||||
"capacity",
|
||||
"planning"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "FF-202603-007",
|
||||
"date": "2026-02-10",
|
||||
"contributor": {
|
||||
"name": "Diego Cabrera",
|
||||
"team": "Field Architecture",
|
||||
"client": "Pepe SRL",
|
||||
"context": "Discovery engagement",
|
||||
"confidence": "validated"
|
||||
},
|
||||
"product": "ADB-S",
|
||||
"version": "23ai",
|
||||
"severity": "INFO",
|
||||
"category": "gotcha",
|
||||
"summary": "ADB-S Serverless RAC node split threshold at 64 ECPUs",
|
||||
"detail": "ADB-S Serverless runs on 1 RAC node at \u226424 ECPUs and splits to 2 nodes\nat 64 ECPUs (16 cpu_count each). The gv$instance view only shows nodes\nwhere the PDB is open.\n\nThis affects connection pooling behavior and session distribution.\nApplications should use UCP or JDBC connection pool with FAN events\nto handle the multi-node scenario properly.\n",
|
||||
"workaround": "Ensure connection pool configuration handles multi-node. Use UCP with FAN.",
|
||||
"oracle_sr": "",
|
||||
"status": "acknowledged",
|
||||
"resolved_date": null,
|
||||
"resolution": null,
|
||||
"affects_matrix": null,
|
||||
"tags": [
|
||||
"adb-s",
|
||||
"rac",
|
||||
"ecpu",
|
||||
"node-split",
|
||||
"connection-pooling"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"total": 8,
|
||||
"by_severity": {
|
||||
"HIGH": 2,
|
||||
"MEDIUM": 4,
|
||||
"LOW": 1,
|
||||
"INFO": 1
|
||||
},
|
||||
"by_product": {
|
||||
"ADB-S": 4,
|
||||
"OCI CLI": 1,
|
||||
"ADB-S Dedicated Elastic Pool (DEP)": 2,
|
||||
"OCI DMS": 1
|
||||
},
|
||||
"by_status": {
|
||||
"acknowledged": 5,
|
||||
"open": 2,
|
||||
"monitoring": 1
|
||||
},
|
||||
"by_category": {
|
||||
"limitation": 3,
|
||||
"bug": 1,
|
||||
"undocumented": 1,
|
||||
"gotcha": 3
|
||||
}
|
||||
}
|
||||
206
examples/output-cli-improvements-deliverables/kb-search-adb.json
Normal file
206
examples/output-cli-improvements-deliverables/kb-search-adb.json
Normal file
@@ -0,0 +1,206 @@
|
||||
[
|
||||
{
|
||||
"file": "kb/architecture-center/catalog.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 25,
|
||||
"text": "- title: \"Deploy Oracle Autonomous Database on Oracle Database@Azure\""
|
||||
},
|
||||
{
|
||||
"line": 267,
|
||||
"text": "- title: \"Deploy Oracle Autonomous Database on Oracle Database@Google Cloud\""
|
||||
},
|
||||
{
|
||||
"line": 427,
|
||||
"text": "- title: \"Migrate on-premises Oracle Database to Autonomous Database\""
|
||||
},
|
||||
{
|
||||
"line": 463,
|
||||
"text": "- title: \"Migrate a PeopleSoft database to Oracle Autonomous Database\""
|
||||
},
|
||||
{
|
||||
"line": 623,
|
||||
"text": "- title: \"Move Oracle Forms applications to Oracle APEX on an Oracle Autonomous "
|
||||
},
|
||||
{
|
||||
"line": 635,
|
||||
"text": "- title: \"Stream Kafka topics to Oracle Autonomous Database using Oracle Integra"
|
||||
},
|
||||
{
|
||||
"line": 795,
|
||||
"text": "- title: \"Implement Oracle Data Safe for Exadata and Autonomous Databases\""
|
||||
},
|
||||
{
|
||||
"line": 1140,
|
||||
"text": "- title: \"Deploy a microservices-based application in Kubernetes connected to an"
|
||||
},
|
||||
{
|
||||
"line": 1226,
|
||||
"text": "- title: \"Deploy JD Edwards EnterpriseOne with Oracle Autonomous Database on Ded"
|
||||
},
|
||||
{
|
||||
"line": 1262,
|
||||
"text": "- title: \"Run PeopleSoft ERP and Autonomous Database in an HA multicloud deploym"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/competitive/aws-mapping.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 32,
|
||||
"text": "- \"Autonomous Database \u2014 no equivalent in AWS\""
|
||||
},
|
||||
{
|
||||
"line": 81,
|
||||
"text": "- \"Data Safe included free for Autonomous Database\""
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/competitive/common-objections.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 12,
|
||||
"text": "- Only cloud with Autonomous Database"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/patterns/database-ha-adb-s.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 2,
|
||||
"text": "# Composable architecture block for Autonomous Database Serverless HA"
|
||||
},
|
||||
{
|
||||
"line": 10,
|
||||
"text": "Autonomous Database Serverless (ADB-S) provides built-in high availability throu"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/pricing/oci-sku-catalog.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 462,
|
||||
"text": "display_name: Oracle Cloud Infrastructure - Autonomous Database & Exadata"
|
||||
},
|
||||
{
|
||||
"line": 465,
|
||||
"text": "product: Oracle Autonomous Database (ATP or ADW) - ECPU (2 ECPU minimum)"
|
||||
},
|
||||
{
|
||||
"line": 471,
|
||||
"text": "product: Oracle Autonomous Database (ATP or ADW) - BYOL ECPU (2 ECPU minimum)"
|
||||
},
|
||||
{
|
||||
"line": 477,
|
||||
"text": "product: Oracle Autonomous Database Storage for Transaction Processing (ATP), us"
|
||||
},
|
||||
{
|
||||
"line": 483,
|
||||
"text": "product: Oracle Autonomous Database Storage for Data Warehouse (ADW), using ECPU"
|
||||
},
|
||||
{
|
||||
"line": 489,
|
||||
"text": "product: Oracle Autonomous Database Backup Storage (ATP or ADW), using ECPU"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/services/adb-dedicated.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 3,
|
||||
"text": "service: Autonomous Database Dedicated (ADB-D)"
|
||||
},
|
||||
{
|
||||
"line": 8,
|
||||
"text": "what: Autonomous Database on dedicated Exadata infrastructure. Provides isolatio"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/services/adb-elastic-pool.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 3,
|
||||
"text": "service: Autonomous Database Serverless Elastic Pool"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/services/adb-serverless.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 1,
|
||||
"text": "# OCI Service: Autonomous Database Serverless (ADB-S)"
|
||||
},
|
||||
{
|
||||
"line": 5,
|
||||
"text": "name: \"Autonomous Database Serverless (ADB-S)\""
|
||||
},
|
||||
{
|
||||
"line": 38,
|
||||
"text": "name: \"Autonomous Database Serverless (ADB-S)\""
|
||||
},
|
||||
{
|
||||
"line": 47,
|
||||
"text": "name: \"Autonomous Database on Dedicated Exadata (ADB-D)\""
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/services/database-at-aws.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 32,
|
||||
"text": "notes: \"Autonomous Database on dedicated Exadata \u2014 NOT serverless\""
|
||||
},
|
||||
{
|
||||
"line": 37,
|
||||
"text": "- name: \"Autonomous Database Serverless (ADB-S)\""
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/services/exadata-cloud.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 20,
|
||||
"text": "- \"Small workloads under 16 OCPUs \u2014 use Autonomous Database Serverless (ADB-S) o"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/services/oci-networking-core.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 46,
|
||||
"text": "description: \"Private pathway from a VCN to supported OCI services (e.g., Object"
|
||||
},
|
||||
{
|
||||
"line": 84,
|
||||
"text": "description: \"Resources in private subnets cannot reach OCI services (Object Sto"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"file": "kb/well-architected/security-compliance.yaml",
|
||||
"matches": [
|
||||
{
|
||||
"line": 148,
|
||||
"text": "description: \"Private endpoints for Autonomous Database\""
|
||||
},
|
||||
{
|
||||
"line": 150,
|
||||
"text": "pass_if: \"Autonomous Database configured with private endpoints\""
|
||||
},
|
||||
{
|
||||
"line": 151,
|
||||
"text": "gap_if: \"Autonomous Database using public endpoints\""
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -0,0 +1,50 @@
|
||||
[
|
||||
{
|
||||
"feature": "Auto Indexing",
|
||||
"category": "auto_management",
|
||||
"compatibility": [
|
||||
{
|
||||
"deployment": "ADB-S Serverless",
|
||||
"version": "23ai",
|
||||
"status": "GA_CAVEAT",
|
||||
"notes": "Creates indexes HIDDEN by default. Instantly reversible. DML costing prevents over-indexing. Deduplication with manually created indexes."
|
||||
},
|
||||
{
|
||||
"deployment": "ADB-S Serverless",
|
||||
"version": "26ai",
|
||||
"status": "GA",
|
||||
"notes": "Improved in 26ai \u2014 better cost model, fewer false positives."
|
||||
},
|
||||
{
|
||||
"deployment": "ADB-S Elastic Pool",
|
||||
"version": "23ai",
|
||||
"status": "GA_CAVEAT",
|
||||
"notes": "Same as ADB-S Serverless."
|
||||
},
|
||||
{
|
||||
"deployment": "ADB Dedicated Elastic Pool (DEP)",
|
||||
"version": "23ai",
|
||||
"status": "GA_CAVEAT",
|
||||
"notes": "Available but less tested in DEP."
|
||||
},
|
||||
{
|
||||
"deployment": "ADB on Dedicated Exadata",
|
||||
"version": "23ai",
|
||||
"status": "GA",
|
||||
"notes": "Fully supported."
|
||||
},
|
||||
{
|
||||
"deployment": "Exadata Cloud Service",
|
||||
"version": "23ai",
|
||||
"status": "NOT_AVAIL",
|
||||
"notes": "Not an ADB feature. Use manual indexing."
|
||||
},
|
||||
{
|
||||
"deployment": "Base DB Service (EE)",
|
||||
"version": "23ai",
|
||||
"status": "NOT_AVAIL",
|
||||
"notes": ""
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -0,0 +1,86 @@
|
||||
[
|
||||
{
|
||||
"feature": "AI Vector Search (HNSW)",
|
||||
"category": "developer",
|
||||
"compatibility": [
|
||||
{
|
||||
"deployment": "ADB-S Serverless",
|
||||
"version": "23ai",
|
||||
"status": "GA_CAVEAT",
|
||||
"notes": "HNSW indexes are node-local on multi-node RAC. Works well up to\n~50M vectors on single node (\u226424 ECPUs). At 100M+ on multi-node\n(\u226564 ECPUs), requires hash-partitioned vector table with LOCAL\nHNSW index for <50ms P95. See FF-202603-008.\n"
|
||||
},
|
||||
{
|
||||
"deployment": "ADB-S Serverless",
|
||||
"version": "26ai",
|
||||
"status": "UNTESTED",
|
||||
"notes": "Check if distributed HNSW is added in 26ai. Expected to remain node-local."
|
||||
},
|
||||
{
|
||||
"deployment": "ADB-S Elastic Pool",
|
||||
"version": "23ai",
|
||||
"status": "GA_CAVEAT",
|
||||
"notes": "Same node-local limitation as ADB-S Serverless."
|
||||
},
|
||||
{
|
||||
"deployment": "ADB on Dedicated Exadata",
|
||||
"version": "23ai",
|
||||
"status": "GA_CAVEAT",
|
||||
"notes": "Same limitation. Dedicated infra doesn't change HNSW locality."
|
||||
},
|
||||
{
|
||||
"deployment": "Exadata Cloud Service",
|
||||
"version": "23ai",
|
||||
"status": "GA_CAVEAT",
|
||||
"notes": "RAC with HNSW has same node-local constraint. Partitioning workaround applies."
|
||||
},
|
||||
{
|
||||
"deployment": "Base DB Service (EE)",
|
||||
"version": "23ai",
|
||||
"status": "NOT_AVAIL",
|
||||
"notes": "AI Vector Search requires 23ai. Available in EE but HNSW performance limited without Exadata storage."
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"feature": "AI Vector Search (IVF)",
|
||||
"category": "developer",
|
||||
"compatibility": [
|
||||
{
|
||||
"deployment": "ADB-S Serverless",
|
||||
"version": "23ai",
|
||||
"status": "GA",
|
||||
"notes": "IVF (Inverted File) indexes ARE distributed across RAC nodes.\nWorks at 100M+ scale without partitioning. However, IVF has\nlower recall than HNSW at same latency budget. Trade-off:\nIVF for scale without redesign, HNSW+partitioning for best recall.\n"
|
||||
},
|
||||
{
|
||||
"deployment": "ADB-S Serverless",
|
||||
"version": "26ai",
|
||||
"status": "UNTESTED",
|
||||
"notes": ""
|
||||
},
|
||||
{
|
||||
"deployment": "ADB-S Elastic Pool",
|
||||
"version": "23ai",
|
||||
"status": "GA",
|
||||
"notes": "Same as ADB-S Serverless."
|
||||
},
|
||||
{
|
||||
"deployment": "ADB on Dedicated Exadata",
|
||||
"version": "23ai",
|
||||
"status": "GA",
|
||||
"notes": ""
|
||||
},
|
||||
{
|
||||
"deployment": "Exadata Cloud Service",
|
||||
"version": "23ai",
|
||||
"status": "GA",
|
||||
"notes": "IVF distributed across RAC nodes. Exadata storage accelerates scans."
|
||||
},
|
||||
{
|
||||
"deployment": "Base DB Service (EE)",
|
||||
"version": "23ai",
|
||||
"status": "NOT_AVAIL",
|
||||
"notes": "AI Vector Search requires 23ai. Available in EE but performance limited without Exadata."
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -0,0 +1,46 @@
|
||||
{
|
||||
"query": "ADB-S vs AWS Aurora / Azure SQL",
|
||||
"aws_database_mappings": [],
|
||||
"azure_database_mappings": [
|
||||
{
|
||||
"oci": "ADB-S",
|
||||
"azure": "Azure SQL Managed Instance / Azure Database for PostgreSQL",
|
||||
"oci_advantage": "ADB-S runs actual Oracle Database. Azure SQL MI is SQL Server only.\nNo native Oracle database service on Azure.\nOracle on Azure VMs loses Exadata performance and autonomous operations.\n",
|
||||
"azure_advantage": "Native SQL Server support if migrating from SQL Server."
|
||||
},
|
||||
{
|
||||
"oci": "ExaCS",
|
||||
"azure": "Oracle Database@Azure (ExaCS in Azure datacenters)",
|
||||
"notes": "Oracle Database@Azure is ExaCS running in Azure datacenters with\ndirect connectivity to Azure services. Available in select regions.\nThis is a partnership offering, not a competitive comparison.\n"
|
||||
}
|
||||
],
|
||||
"common_objections": [
|
||||
{
|
||||
"id": "OBJ-001",
|
||||
"category": "market",
|
||||
"objection": "OCI is a niche cloud \u2014 AWS/Azure are the leaders",
|
||||
"response": "OCI is the #4 cloud globally and growing fastest in database PaaS.\nFor Oracle database workloads specifically, OCI is the leader:\n- Only cloud with Exadata hardware\n- Only cloud with Autonomous Database\n- Best Oracle license portability\nThe question isn't \"best cloud overall\" but \"best cloud for this workload.\"\n",
|
||||
"evidence": "Gartner, IDC reports on cloud database market"
|
||||
},
|
||||
{
|
||||
"id": "OBJ-002",
|
||||
"category": "risk",
|
||||
"objection": "What if Oracle EOLs or changes OCI pricing?",
|
||||
"response": "OCI pricing has only decreased since launch. Oracle's cloud investment\nis $50B+ in CapEx. OCI is Oracle's strategic platform \u2014 not a side project.\nContractual pricing protection exists via Annual Flex and Universal Credits.\n",
|
||||
"mitigation": "Use annual flex contracts with pricing guarantees"
|
||||
},
|
||||
{
|
||||
"id": "OBJ-003",
|
||||
"category": "skills",
|
||||
"objection": "Our team has no OCI experience",
|
||||
"response": "ADB-S reduces DBA workload by 80% (no patching, tuning, scaling).\nOCI console follows familiar cloud patterns. Terraform provider is mature.\nOracle provides free training and certification. Typical ramp-up is 2-4 weeks.\n",
|
||||
"mitigation": "Include training budget in migration plan"
|
||||
},
|
||||
{
|
||||
"id": "OBJ-004",
|
||||
"category": "features",
|
||||
"objection": "OCI doesn't have as many services as AWS",
|
||||
"response": "True for breadth (AWS has 200+ services). For database and enterprise\nworkloads, OCI feature parity is strong. Key services are GA:\n- Compute, networking, storage, Kubernetes, serverless\n- Monitoring, logging, IAM, security\n- Queue, Streaming, API Gateway\nWhat matters is whether OCI has what *you* need, not a raw count.\n"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
[
|
||||
{
|
||||
"id": "FF-202604-001",
|
||||
"date": "2026-04-12",
|
||||
"contributor": {
|
||||
"name": "Test SA",
|
||||
"team": "Validation",
|
||||
"date": "2026-04-12",
|
||||
"confidence": "observed",
|
||||
"client": "Test Client",
|
||||
"context": "CLI validation"
|
||||
},
|
||||
"reported_by": "Test SA",
|
||||
"product": "OCI Queue",
|
||||
"version": "GA",
|
||||
"severity": "LOW",
|
||||
"category": "gotcha",
|
||||
"summary": "Queue message visibility timeout resets on failed processing \u2014 must handle idempotently",
|
||||
"detail": "When a consumer fails to process a message within the visibility timeout, the message becomes visible again. If the consumer partially processed it, you get duplicate processing.",
|
||||
"workaround": "Implement idempotent consumers. Use message deduplication ID.",
|
||||
"oracle_sr": "",
|
||||
"status": "open",
|
||||
"resolved_date": null,
|
||||
"resolution": null,
|
||||
"affects_matrix": null,
|
||||
"tags": [
|
||||
"queue",
|
||||
"messaging",
|
||||
"idempotency"
|
||||
],
|
||||
"confirmations": []
|
||||
}
|
||||
]
|
||||
@@ -0,0 +1,5 @@
|
||||
WARNING: Unknown tag 'queue'. Not in taxonomy.
|
||||
WARNING: Unknown tag 'messaging'. Did you mean 'sizing'?
|
||||
WARNING: Unknown tag 'idempotency'. Did you mean 'latency'?
|
||||
|
||||
Added: FF-202604-001 [LOW] Queue message visibility timeout resets on failed processing — must handle idempotently
|
||||
@@ -0,0 +1,174 @@
|
||||
well_architected_scorecard:
|
||||
overall_status: GAPS_IDENTIFIED
|
||||
generated_date: '2026-04-12T21:26:00.300204'
|
||||
architecture_name: examples/meli-kvs-wa-architecture.yaml
|
||||
customer: Unknown
|
||||
summary:
|
||||
total_checks: 23
|
||||
total_passed: 18
|
||||
total_gaps: 5
|
||||
high_severity_gaps: 2
|
||||
medium_severity_gaps: 1
|
||||
low_severity_gaps: 2
|
||||
pillars:
|
||||
security_compliance:
|
||||
status: GAPS_IDENTIFIED
|
||||
checks_passed: 12
|
||||
checks_total: 15
|
||||
categories:
|
||||
identity_access:
|
||||
passed: 3
|
||||
total: 4
|
||||
gaps:
|
||||
- check_id: SEC-IAM-003
|
||||
area: Identity & Access
|
||||
finding: no mention of admin account restrictions
|
||||
severity: HIGH
|
||||
recommendation: separate admin groups defined for operations
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
resource_isolation:
|
||||
passed: 3
|
||||
total: 3
|
||||
gaps: []
|
||||
database_security:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
data_protection:
|
||||
passed: 1
|
||||
total: 2
|
||||
gaps:
|
||||
- check_id: SEC-DAT-001
|
||||
area: Data Protection
|
||||
finding: any storage service without encryption at rest
|
||||
severity: HIGH
|
||||
recommendation: encryption at rest specified for all storage services
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
network_security:
|
||||
passed: 3
|
||||
total: 3
|
||||
gaps: []
|
||||
monitoring_audit:
|
||||
passed: 2
|
||||
total: 3
|
||||
gaps:
|
||||
- check_id: SEC-MON-003
|
||||
area: Monitoring & Audit
|
||||
finding: no VCN Flow Logs configured
|
||||
severity: MEDIUM
|
||||
recommendation: VCN Flow Logs enabled for critical subnets
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
reliability_resilience:
|
||||
status: PASS_WITH_RECOMMENDATIONS
|
||||
checks_passed: 0
|
||||
checks_total: 1
|
||||
categories:
|
||||
scalability:
|
||||
passed: 0
|
||||
total: 1
|
||||
gaps:
|
||||
- check_id: REL-SCL-002
|
||||
area: Scalability
|
||||
finding: no service limit review planned
|
||||
severity: LOW
|
||||
recommendation: service limit review mentioned in deployment plan
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
|
||||
fault_tolerant_networking:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
data_backup:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
data_replication:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
disaster_recovery:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
performance_cost:
|
||||
status: PASS
|
||||
checks_passed: 2
|
||||
checks_total: 2
|
||||
categories:
|
||||
compute_sizing:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
storage_strategy:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
network_tuning:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
cost_management:
|
||||
passed: 2
|
||||
total: 2
|
||||
gaps: []
|
||||
operational_efficiency:
|
||||
status: PASS_WITH_RECOMMENDATIONS
|
||||
checks_passed: 4
|
||||
checks_total: 5
|
||||
categories:
|
||||
deployment_strategy:
|
||||
passed: 1
|
||||
total: 1
|
||||
gaps: []
|
||||
workload_monitoring:
|
||||
passed: 2
|
||||
total: 2
|
||||
gaps: []
|
||||
os_management:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
operations_support:
|
||||
passed: 1
|
||||
total: 2
|
||||
gaps:
|
||||
- check_id: OPS-SUP-001
|
||||
area: Operations Support
|
||||
finding: no support plan consideration
|
||||
severity: LOW
|
||||
recommendation: Oracle support plan level specified and matches criticality
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
|
||||
distributed_cloud:
|
||||
status: NOT_APPLICABLE
|
||||
checks_passed: 0
|
||||
checks_total: 0
|
||||
categories: {}
|
||||
action_items:
|
||||
high_priority:
|
||||
- check_id: SEC-IAM-003
|
||||
pillar: Identity & Access
|
||||
finding: no mention of admin account restrictions
|
||||
recommendation: separate admin groups defined for operations
|
||||
- check_id: SEC-DAT-001
|
||||
pillar: Data Protection
|
||||
finding: any storage service without encryption at rest
|
||||
recommendation: encryption at rest specified for all storage services
|
||||
medium_priority:
|
||||
- check_id: SEC-MON-003
|
||||
pillar: Monitoring & Audit
|
||||
finding: no VCN Flow Logs configured
|
||||
recommendation: VCN Flow Logs enabled for critical subnets
|
||||
low_priority:
|
||||
- check_id: REL-SCL-002
|
||||
pillar: Scalability
|
||||
finding: no service limit review planned
|
||||
recommendation: service limit review mentioned in deployment plan
|
||||
- check_id: OPS-SUP-001
|
||||
pillar: Operations Support
|
||||
finding: no support plan consideration
|
||||
recommendation: Oracle support plan level specified and matches criticality
|
||||
references:
|
||||
framework: https://docs.oracle.com/en/solutions/oci-best-practices/index.html
|
||||
security: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
reliability: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
|
||||
operations: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
|
||||
distributed: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-distributed-cloud-implementation1.html
|
||||
241
examples/output-cli-improvements-deliverables/wa-scorecard.yaml
Normal file
241
examples/output-cli-improvements-deliverables/wa-scorecard.yaml
Normal file
@@ -0,0 +1,241 @@
|
||||
well_architected_scorecard:
|
||||
overall_status: GAPS_IDENTIFIED
|
||||
generated_date: '2026-04-12T22:40:14.045613'
|
||||
architecture_name: examples/meli-kvs-wa-architecture.yaml
|
||||
customer: Mercado Libre (MELI)
|
||||
summary:
|
||||
total_checks: 49
|
||||
total_passed: 39
|
||||
total_gaps: 10
|
||||
high_severity_gaps: 2
|
||||
medium_severity_gaps: 5
|
||||
low_severity_gaps: 3
|
||||
pillars:
|
||||
security_compliance:
|
||||
status: GAPS_IDENTIFIED
|
||||
checks_passed: 21
|
||||
checks_total: 26
|
||||
categories:
|
||||
identity_access:
|
||||
passed: 5
|
||||
total: 6
|
||||
gaps:
|
||||
- check_id: SEC-IAM-003
|
||||
area: Identity & Access
|
||||
finding: no mention of admin account restrictions
|
||||
severity: HIGH
|
||||
recommendation: separate admin groups defined for operations
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
resource_isolation:
|
||||
passed: 4
|
||||
total: 4
|
||||
gaps: []
|
||||
database_security:
|
||||
passed: 4
|
||||
total: 6
|
||||
gaps:
|
||||
- check_id: SEC-DB-004
|
||||
area: Database Security
|
||||
finding: Data Safe not included in architecture
|
||||
severity: MEDIUM
|
||||
recommendation: Data Safe configured for database security assessment
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
- check_id: SEC-DB-006
|
||||
area: Database Security
|
||||
finding: no mention of DELETE permission restrictions
|
||||
severity: MEDIUM
|
||||
recommendation: explicit restriction on DELETE permissions documented
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
data_protection:
|
||||
passed: 1
|
||||
total: 2
|
||||
gaps:
|
||||
- check_id: SEC-DAT-001
|
||||
area: Data Protection
|
||||
finding: any storage service without encryption at rest
|
||||
severity: HIGH
|
||||
recommendation: encryption at rest specified for all storage services
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
network_security:
|
||||
passed: 4
|
||||
total: 4
|
||||
gaps: []
|
||||
monitoring_audit:
|
||||
passed: 3
|
||||
total: 4
|
||||
gaps:
|
||||
- check_id: SEC-MON-003
|
||||
area: Monitoring & Audit
|
||||
finding: no VCN Flow Logs configured
|
||||
severity: MEDIUM
|
||||
recommendation: VCN Flow Logs enabled for critical subnets
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
reliability_resilience:
|
||||
status: PASS_WITH_RECOMMENDATIONS
|
||||
checks_passed: 6
|
||||
checks_total: 8
|
||||
categories:
|
||||
scalability:
|
||||
passed: 1
|
||||
total: 3
|
||||
gaps:
|
||||
- check_id: REL-SCL-002
|
||||
area: Scalability
|
||||
finding: no service limit review planned
|
||||
severity: LOW
|
||||
recommendation: service limit review mentioned in deployment plan
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
|
||||
- check_id: REL-SCL-003
|
||||
area: Scalability
|
||||
finding: critical production workloads without capacity reservations
|
||||
severity: MEDIUM
|
||||
recommendation: capacity reservations specified for critical compute
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
|
||||
fault_tolerant_networking:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
data_backup:
|
||||
passed: 3
|
||||
total: 3
|
||||
gaps: []
|
||||
data_replication:
|
||||
passed: 2
|
||||
total: 2
|
||||
gaps: []
|
||||
disaster_recovery:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
performance_cost:
|
||||
status: PASS_WITH_RECOMMENDATIONS
|
||||
checks_passed: 4
|
||||
checks_total: 5
|
||||
categories:
|
||||
compute_sizing:
|
||||
passed: 1
|
||||
total: 1
|
||||
gaps: []
|
||||
storage_strategy:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
network_tuning:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
cost_management:
|
||||
passed: 3
|
||||
total: 4
|
||||
gaps:
|
||||
- check_id: PERF-CST-006
|
||||
area: Cost Management
|
||||
finding: non-prod environments running same shapes as production 24/7
|
||||
severity: LOW
|
||||
recommendation: non-prod environments use reduced shapes or have schedules
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/index.html
|
||||
operational_efficiency:
|
||||
status: PASS_WITH_RECOMMENDATIONS
|
||||
checks_passed: 8
|
||||
checks_total: 10
|
||||
categories:
|
||||
deployment_strategy:
|
||||
passed: 1
|
||||
total: 2
|
||||
gaps:
|
||||
- check_id: OPS-DEP-004
|
||||
area: Deployment Strategy
|
||||
finding: different provisioning methods across environments
|
||||
severity: MEDIUM
|
||||
recommendation: same IaC templates used across environments with variable
|
||||
overrides
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
|
||||
workload_monitoring:
|
||||
passed: 4
|
||||
total: 4
|
||||
gaps: []
|
||||
os_management:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
operations_support:
|
||||
passed: 3
|
||||
total: 4
|
||||
gaps:
|
||||
- check_id: OPS-SUP-001
|
||||
area: Operations Support
|
||||
finding: no support plan consideration
|
||||
severity: LOW
|
||||
recommendation: Oracle support plan level specified and matches criticality
|
||||
wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
|
||||
distributed_cloud:
|
||||
status: PASS
|
||||
checks_passed: 0
|
||||
checks_total: 0
|
||||
categories:
|
||||
dc_deployment_strategy:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
dc_integration:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
dc_compliance:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
dc_operations:
|
||||
passed: 0
|
||||
total: 0
|
||||
gaps: []
|
||||
action_items:
|
||||
high_priority:
|
||||
- check_id: SEC-IAM-003
|
||||
pillar: Identity & Access
|
||||
finding: no mention of admin account restrictions
|
||||
recommendation: separate admin groups defined for operations
|
||||
- check_id: SEC-DAT-001
|
||||
pillar: Data Protection
|
||||
finding: any storage service without encryption at rest
|
||||
recommendation: encryption at rest specified for all storage services
|
||||
medium_priority:
|
||||
- check_id: SEC-DB-004
|
||||
pillar: Database Security
|
||||
finding: Data Safe not included in architecture
|
||||
recommendation: Data Safe configured for database security assessment
|
||||
- check_id: SEC-DB-006
|
||||
pillar: Database Security
|
||||
finding: no mention of DELETE permission restrictions
|
||||
recommendation: explicit restriction on DELETE permissions documented
|
||||
- check_id: SEC-MON-003
|
||||
pillar: Monitoring & Audit
|
||||
finding: no VCN Flow Logs configured
|
||||
recommendation: VCN Flow Logs enabled for critical subnets
|
||||
- check_id: REL-SCL-003
|
||||
pillar: Scalability
|
||||
finding: critical production workloads without capacity reservations
|
||||
recommendation: capacity reservations specified for critical compute
|
||||
- check_id: OPS-DEP-004
|
||||
pillar: Deployment Strategy
|
||||
finding: different provisioning methods across environments
|
||||
recommendation: same IaC templates used across environments with variable overrides
|
||||
low_priority:
|
||||
- check_id: REL-SCL-002
|
||||
pillar: Scalability
|
||||
finding: no service limit review planned
|
||||
recommendation: service limit review mentioned in deployment plan
|
||||
- check_id: PERF-CST-006
|
||||
pillar: Cost Management
|
||||
finding: non-prod environments running same shapes as production 24/7
|
||||
recommendation: non-prod environments use reduced shapes or have schedules
|
||||
- check_id: OPS-SUP-001
|
||||
pillar: Operations Support
|
||||
finding: no support plan consideration
|
||||
recommendation: Oracle support plan level specified and matches criticality
|
||||
references:
|
||||
framework: https://docs.oracle.com/en/solutions/oci-best-practices/index.html
|
||||
security: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
|
||||
reliability: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
|
||||
operations: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
|
||||
distributed: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-distributed-cloud-implementation1.html
|
||||
434
examples/proposal-spec.yaml
Normal file
434
examples/proposal-spec.yaml
Normal file
@@ -0,0 +1,434 @@
|
||||
# OCI Deal Accelerator — Proposal Spec
|
||||
# Customer: MELI (Mercado Libre) | Project: KVS
|
||||
# Drives: oci_deck_gen.py (.pptx) + oci_pdf_gen.py (.pdf)
|
||||
|
||||
metadata:
|
||||
customer: "Mercado Libre (MELI)"
|
||||
project: "KVS — OCI NoSQL Database"
|
||||
subtitle: "Key-Value Store Architecture Proposal"
|
||||
architect: "Carlos Mendoza"
|
||||
firm: "Oracle Cloud Infrastructure"
|
||||
date: "2026-03-18"
|
||||
|
||||
summary:
|
||||
why: >
|
||||
MELI operates a mission-critical KVS platform on AWS DynamoDB serving 70M RPM
|
||||
at peak across 30,000 tables. Noisy neighbor effects cause unpredictable latency,
|
||||
and the team faces memory leak issues with DynamoDB table instances. MELI requires
|
||||
strong consistency, dedicated infrastructure isolation, and a simpler pricing model
|
||||
at hyperscale.
|
||||
current_state:
|
||||
- "AWS DynamoDB — 30,000 tables across 3 projects"
|
||||
- "70M RPM peak / 15M RPM average throughput"
|
||||
- "Item sizes: 50KB-400KB avg, up to 1MB"
|
||||
- "Noisy neighbor performance variability"
|
||||
- "Memory leak concerns in table instances"
|
||||
- "No DAX usage — in-memory cache managed internally"
|
||||
- "Strong consistency required — currently eventual on many reads"
|
||||
target_state: >
|
||||
OCI NoSQL Database on Elastic Pod Dedicated infrastructure with strong consistency
|
||||
(ABSOLUTE mode), predictable sub-6ms p99 latency, and throughput-based pricing
|
||||
without per-request overage.
|
||||
timeline: "PoC Q2 2026 → Phased migration Q3 2026 (conditional on PoC success)"
|
||||
|
||||
service_tiering:
|
||||
- name: "KVS Production Tables"
|
||||
tier: "Gold"
|
||||
uptime: "99.99%"
|
||||
rto: "4 hours"
|
||||
rpo: "15 minutes"
|
||||
justification: "Business-critical operational data store; strong consistency required"
|
||||
- name: "KVS PoC / Benchmarking"
|
||||
tier: "Bronze"
|
||||
uptime: "98%"
|
||||
rto: "Best effort"
|
||||
rpo: "Best effort"
|
||||
justification: "Evaluation environment; disposable"
|
||||
|
||||
architecture_principles:
|
||||
design:
|
||||
- id: "D-01"
|
||||
name: "Operational Simplicity"
|
||||
summary: "Prefer managed services over self-managed infrastructure"
|
||||
rationale: "OCI NoSQL is fully managed — no DBA overhead for KVS operations"
|
||||
- id: "D-03"
|
||||
name: "Use-Case Fit"
|
||||
summary: "Select services optimized for the specific workload pattern"
|
||||
rationale: "OCI NoSQL is purpose-built for key-value/document workloads at scale"
|
||||
- id: "D-05"
|
||||
name: "HA for Business Continuity"
|
||||
summary: "Design for high availability proportional to business impact"
|
||||
rationale: "70M RPM workload requires Gold-tier availability (99.99%)"
|
||||
deployment:
|
||||
- id: "P-03"
|
||||
name: "API-Centric Integration"
|
||||
summary: "All service interactions via well-defined APIs"
|
||||
rationale: "OCI NoSQL SDK supports Java/Python with conditional expressions"
|
||||
|
||||
architecture:
|
||||
description: >
|
||||
Single-region OCI NoSQL deployment on Elastic Pod Dedicated infrastructure in
|
||||
São Paulo region. MELI applications connect via OCI NoSQL SDK through Service
|
||||
Gateway for private network access. Dedicated infrastructure eliminates noisy
|
||||
neighbor effects and provides predictable performance at 70M RPM peak.
|
||||
|
||||
Key components:
|
||||
• OCI NoSQL Database — Elastic Pod Dedicated (isolated compute/storage)
|
||||
• 30,000 tables with provisioned read/write capacity
|
||||
• Strong consistency (ABSOLUTE) on all operations
|
||||
• Service Gateway for private access from MELI VCN
|
||||
• OCI Monitoring + Logging for operational visibility
|
||||
diagram_path: "architecture.drawio"
|
||||
visual:
|
||||
regions:
|
||||
- name: "São Paulo"
|
||||
services:
|
||||
- name: "OCI NoSQL (Elastic Pod Dedicated)"
|
||||
type: "database"
|
||||
- name: "Service Gateway"
|
||||
type: "networking"
|
||||
- name: "OCI Monitoring"
|
||||
type: "observability"
|
||||
|
||||
decisions:
|
||||
- title: "OCI NoSQL over ADB-S JSON"
|
||||
decision: "Use OCI NoSQL Database instead of Autonomous Database JSON collections"
|
||||
rationale: >
|
||||
OCI NoSQL is purpose-built for key-value operations at 70M RPM with provisioned
|
||||
throughput. ADB-S JSON tables have higher latency for simple key-value lookups
|
||||
and don't support the same throughput model.
|
||||
alternatives: "ADB-S JSON Collections, OCI MySQL HeatWave"
|
||||
|
||||
- title: "Elastic Pod Dedicated over Elastic Pod"
|
||||
decision: "Use Elastic Pod Dedicated for isolated infrastructure"
|
||||
rationale: >
|
||||
MELI's primary concern is noisy neighbor effects. Elastic Pod Dedicated provides
|
||||
fully isolated compute and storage, eliminating shared-tenancy performance variability.
|
||||
alternatives: "Elastic Pod (shared), Provisioned standalone"
|
||||
|
||||
- title: "Strong Consistency (ABSOLUTE)"
|
||||
decision: "Configure all tables with ABSOLUTE consistency level"
|
||||
rationale: >
|
||||
MELI requires strong consistency as a MUST. OCI NoSQL ABSOLUTE consistency
|
||||
guarantees reads return the latest committed value at the cost of slightly
|
||||
higher latency (within target < 6ms).
|
||||
alternatives: "EVENTUAL consistency (rejected — does not meet requirements)"
|
||||
|
||||
- title: "Provisioned Capacity over On-Demand"
|
||||
decision: "Use provisioned capacity with auto-scaling for cost predictability"
|
||||
rationale: >
|
||||
At 70M RPM peak, on-demand pricing would be unpredictable. Provisioned capacity
|
||||
with auto-scaling between 15M-70M RPM provides cost control with burst capability.
|
||||
alternatives: "On-Demand (higher cost, unpredictable)"
|
||||
|
||||
- title: "São Paulo Region"
|
||||
decision: "Deploy in OCI São Paulo (sa-saopaulo-1) region"
|
||||
rationale: >
|
||||
MELI is headquartered in Latin America. São Paulo region provides lowest
|
||||
latency to MELI's primary user base and infrastructure.
|
||||
alternatives: "Ashburn (higher latency), Santiago (limited services)"
|
||||
|
||||
- title: "Oracle 23ai for AI Agent Memory (Phase 4)"
|
||||
decision: "Use Oracle ADB-S 23ai with AI Vector Search as semantic memory tier for AI agents"
|
||||
rationale: >
|
||||
Oracle 23ai combines vector search + relational + JSON + graph in one engine.
|
||||
Eliminates need for a separate vector DB (Pinecone/Weaviate). Provides ACID
|
||||
guarantees on memory operations. Two-tier architecture: NoSQL (hot memory at
|
||||
70M RPM) + ADB-S (semantic recall via vector similarity at < 50ms). Incremental
|
||||
cost < 10% of KVS infrastructure.
|
||||
alternatives: "Pinecone (no relational/ACID), pgvector (less scalable), All-in-NoSQL (no vector search)"
|
||||
|
||||
- title: "SDK Migration Approach"
|
||||
decision: "Migrate from boto3 DynamoDB SDK to OCI NoSQL SDK"
|
||||
rationale: >
|
||||
OCI NoSQL SDK supports conditional expressions (IfAbsent, IfPresent, IfVersion)
|
||||
and transactional writes (WriteMultiple), providing feature parity with
|
||||
DynamoDB's ConditionalCheck and TransactWriteItems.
|
||||
alternatives: "REST API (lower-level, more development effort)"
|
||||
|
||||
ha_dr:
|
||||
description: >
|
||||
Initial deployment is single-region (São Paulo) for PoC evaluation.
|
||||
Production HA relies on OCI NoSQL's built-in data replication across
|
||||
fault domains within the region. DR strategy to be defined post-PoC
|
||||
based on MELI's RPO/RTO requirements.
|
||||
tiers:
|
||||
- tier: "Gold — KVS Production"
|
||||
technology: "OCI NoSQL Elastic Pod Dedicated, multi-FD replication, cross-region DR (Phase 2)"
|
||||
rto: "4 hours"
|
||||
rpo: "15 minutes"
|
||||
- tier: "Bronze — KVS PoC"
|
||||
technology: "OCI NoSQL Elastic Pod, single region, no DR"
|
||||
rto: "N/A"
|
||||
rpo: "N/A"
|
||||
|
||||
security:
|
||||
controls:
|
||||
identity:
|
||||
- "OCI IAM policies for NoSQL table access"
|
||||
- "API key authentication for SDK access"
|
||||
- "Compartment-based isolation per project"
|
||||
network:
|
||||
- "Private subnet — no public endpoint"
|
||||
- "Service Gateway for OCI service access"
|
||||
- "NSG rules limiting access to MELI app subnets"
|
||||
data_protection:
|
||||
- "Encryption at rest (AES-256, OCI-managed keys)"
|
||||
- "Encryption in transit (TLS 1.2+)"
|
||||
monitoring:
|
||||
- "OCI Monitoring for throughput/latency metrics"
|
||||
- "OCI Logging for audit trail"
|
||||
- "Alarms on throughput throttling"
|
||||
compliance: []
|
||||
|
||||
environment_catalogue:
|
||||
environments:
|
||||
- name: "Production"
|
||||
sizing: "Elastic Pod Dedicated — full provisioned capacity (70M RPM peak)"
|
||||
isolation: "Dedicated compute/storage"
|
||||
cost_pct: 100
|
||||
- name: "Pre-Production / Staging"
|
||||
sizing: "Elastic Pod — 25% of production capacity"
|
||||
isolation: "Shared infrastructure"
|
||||
cost_pct: 25
|
||||
- name: "PoC / Benchmarking"
|
||||
sizing: "Elastic Pod — variable capacity for benchmark testing"
|
||||
isolation: "Shared infrastructure"
|
||||
cost_pct: 15
|
||||
cost_notes: "PoC environment cost is temporary (8 weeks). Pre-Prod runs at 25% capacity."
|
||||
|
||||
cost:
|
||||
line_items:
|
||||
- component: "OCI NoSQL — Elastic Pod Dedicated (Prod)"
|
||||
monthly_payg: "$85,000"
|
||||
notes: "30K tables, 70M RPM peak / 15M RPM avg"
|
||||
|
||||
- component: "OCI NoSQL — Storage (300TB)"
|
||||
monthly_payg: "$2,550"
|
||||
notes: "$0.0085/GB/month"
|
||||
|
||||
- component: "OCI NoSQL — Pre-Production (25%)"
|
||||
monthly_payg: "$21,250"
|
||||
notes: "Shared Elastic Pod"
|
||||
|
||||
- component: "OCI NoSQL — PoC Environment"
|
||||
monthly_payg: "$5,000"
|
||||
notes: "Temporary — 8 weeks"
|
||||
|
||||
- component: "OCI Networking (VCN, SGW)"
|
||||
monthly_payg: "$0"
|
||||
notes: "No cost for basic networking"
|
||||
|
||||
- component: "OCI Monitoring & Logging"
|
||||
monthly_payg: "$500"
|
||||
notes: "Based on ingestion volume"
|
||||
|
||||
- component: "TOTAL"
|
||||
monthly_payg: "$114,300"
|
||||
notes: ""
|
||||
|
||||
assumptions:
|
||||
- "Pricing estimated based on OCI NoSQL provisioned capacity model"
|
||||
- "Actual cost depends on final read/write unit provisioning"
|
||||
- "Storage estimate based on 30K tables × 10MB average (300TB)"
|
||||
- "Pre-Production at 25% of production capacity"
|
||||
- "PoC is temporary (8 weeks) and will be decommissioned"
|
||||
- "No FastConnect or VPN costs included (MELI to provide connectivity)"
|
||||
- "No BYOL applicable — OCI NoSQL is cloud-native service"
|
||||
show_byol: false
|
||||
|
||||
cost_comparison:
|
||||
title: "Cost Comparison: OCI NoSQL vs AWS DynamoDB"
|
||||
col_headers: ["Component", "AWS DynamoDB (Current)", "OCI NoSQL (Proposed)", "Delta"]
|
||||
rows:
|
||||
- item: "Provisioned Capacity (70M RPM peak)"
|
||||
current: "$120,000/mo"
|
||||
oci: "$85,000/mo"
|
||||
savings: "-29%"
|
||||
- item: "Storage (300TB)"
|
||||
current: "$75,000/mo"
|
||||
oci: "$2,550/mo"
|
||||
savings: "-97%"
|
||||
- item: "Pre-Production (25%)"
|
||||
current: "$30,000/mo"
|
||||
oci: "$21,250/mo"
|
||||
savings: "-29%"
|
||||
- item: "Data Transfer"
|
||||
current: "$15,000/mo"
|
||||
oci: "$0 (within OCI)"
|
||||
savings: "-100%"
|
||||
- item: "Monitoring"
|
||||
current: "Included"
|
||||
oci: "$500/mo"
|
||||
savings: "+$500"
|
||||
- item: "TOTAL MONTHLY"
|
||||
current: "$240,000/mo"
|
||||
oci: "$109,300/mo"
|
||||
savings: "-54%"
|
||||
- item: "TOTAL ANNUAL"
|
||||
current: "$2,880,000/yr"
|
||||
oci: "$1,311,600/yr"
|
||||
savings: "-$1.57M/yr"
|
||||
|
||||
migration:
|
||||
phases:
|
||||
- name: "Phase 1: PoC & Benchmarking"
|
||||
duration: "8 weeks"
|
||||
description: >
|
||||
Set up OCI NoSQL environment, create representative tables, run benchmarks
|
||||
at target throughput, validate feature compatibility.
|
||||
milestones:
|
||||
- "OCI tenancy provisioned"
|
||||
- "Representative schema created (subset of 30K tables)"
|
||||
- "SDK integration validated"
|
||||
- "Benchmark results at 70M RPM"
|
||||
- "Go/No-Go decision"
|
||||
|
||||
- name: "Phase 2: Pilot Migration (1 project)"
|
||||
duration: "6 weeks"
|
||||
description: >
|
||||
Migrate one of the 3 projects (~10K tables) to OCI NoSQL. Run in parallel
|
||||
with DynamoDB. Validate data consistency and performance in production.
|
||||
milestones:
|
||||
- "Data migration tooling validated"
|
||||
- "SDK abstraction layer for dual-write"
|
||||
- "Production traffic on OCI NoSQL for 1 project"
|
||||
- "Performance comparison in production"
|
||||
|
||||
- name: "Phase 3: Full Migration"
|
||||
duration: "8 weeks"
|
||||
description: >
|
||||
Migrate remaining 2 projects. Decommission DynamoDB tables.
|
||||
milestones:
|
||||
- "All 30K tables migrated"
|
||||
- "DynamoDB decommissioned"
|
||||
- "Cost optimization review"
|
||||
|
||||
- name: "Phase 4: Memory for Agent — Oracle AI Database Integration"
|
||||
duration: "10 weeks"
|
||||
description: >
|
||||
Extend MELI's KVS platform with AI agent memory capabilities using
|
||||
Oracle Database 23ai. Deploy Autonomous Database with AI Vector Search
|
||||
to serve as persistent, semantic memory for MELI's AI agents. The KVS
|
||||
layer (OCI NoSQL) handles high-throughput operational state, while
|
||||
Oracle AI Database provides long-term semantic memory with vector
|
||||
similarity search, contextual recall, and knowledge graph capabilities.
|
||||
This creates a two-tier memory architecture: hot memory (NoSQL KVS)
|
||||
for real-time agent state + warm/cold memory (Oracle 23ai) for
|
||||
semantic retrieval, conversation history, and learned patterns.
|
||||
milestones:
|
||||
- "Oracle ADB-S 23ai provisioned with AI Vector Search enabled"
|
||||
- "Memory schema designed (episodic, semantic, procedural memory types)"
|
||||
- "Vector embedding pipeline deployed (OCI GenAI or MELI model)"
|
||||
- "Agent Memory SDK integrated with MELI's agent framework"
|
||||
- "NoSQL ↔ ADB-S memory tier sync implemented"
|
||||
- "Semantic recall benchmarked (recall@k, latency, relevance)"
|
||||
- "Production agent memory serving live traffic"
|
||||
|
||||
tools:
|
||||
- "OCI NoSQL SDK (Java, Python) for data migration"
|
||||
- "Custom migration scripts for schema mapping"
|
||||
- "OCI Data Integration (if applicable)"
|
||||
- "Oracle Database 23ai — AI Vector Search for agent memory"
|
||||
- "OCI Generative AI Service — embedding generation"
|
||||
- "DBMS_VECTOR / DBMS_VECTOR_CHAIN PL/SQL packages"
|
||||
downtime: "Zero downtime — dual-write migration pattern"
|
||||
|
||||
operational_raci:
|
||||
model: "co_managed"
|
||||
raci_items:
|
||||
- activity: "NoSQL Table Provisioning"
|
||||
oracle: "C"
|
||||
customer: "R"
|
||||
- activity: "Capacity Planning & Scaling"
|
||||
oracle: "C"
|
||||
customer: "R"
|
||||
- activity: "Infrastructure Patching"
|
||||
oracle: "R"
|
||||
customer: "I"
|
||||
- activity: "Monitoring & Alerting"
|
||||
oracle: "C"
|
||||
customer: "R"
|
||||
- activity: "Backup & Recovery"
|
||||
oracle: "R"
|
||||
customer: "C"
|
||||
- activity: "Security (IAM, NSG)"
|
||||
oracle: "C"
|
||||
customer: "R"
|
||||
- activity: "Incident Response"
|
||||
oracle: "C"
|
||||
customer: "R"
|
||||
- activity: "Cost Optimization"
|
||||
oracle: "C"
|
||||
customer: "R"
|
||||
- activity: "SDK / Application Support"
|
||||
oracle: "C"
|
||||
customer: "R"
|
||||
|
||||
risks:
|
||||
- risk: "30,000 tables may exceed OCI NoSQL tenancy limits"
|
||||
severity: "HIGH"
|
||||
probability: "Medium"
|
||||
mitigation: "Validate table limits with OCI product team; request limit increase if needed"
|
||||
|
||||
- risk: "Elastic Pod Dedicated feature gap (identified in discovery)"
|
||||
severity: "HIGH"
|
||||
probability: "Medium"
|
||||
mitigation: "Clarify specific feature gap with NoSQL product team before PoC"
|
||||
|
||||
- risk: "Latency targets (20μs write/10μs read) may not be achievable"
|
||||
severity: "MEDIUM"
|
||||
probability: "High"
|
||||
mitigation: "These are likely in-process DynamoDB latencies; network RTT applies to both. Benchmark actual end-to-end latency"
|
||||
|
||||
- risk: "SDK migration effort — conditional expressions API differences"
|
||||
severity: "MEDIUM"
|
||||
probability: "Medium"
|
||||
mitigation: "Build abstraction layer during PoC; map DynamoDB expressions to OCI NoSQL equivalents"
|
||||
|
||||
- risk: "Data type mapping gaps between DynamoDB and OCI NoSQL"
|
||||
severity: "LOW"
|
||||
probability: "Low"
|
||||
mitigation: "Both support JSON-native types; map during Phase 1"
|
||||
|
||||
- risk: "In-memory cache integration with OCI NoSQL"
|
||||
severity: "LOW"
|
||||
probability: "Low"
|
||||
mitigation: "MELI manages cache internally — SDK-level integration only"
|
||||
|
||||
scorecard:
|
||||
pillars:
|
||||
- name: "Security & Compliance"
|
||||
status: "PASS_WITH_RECOMMENDATIONS"
|
||||
passed: 21
|
||||
total: 26
|
||||
- name: "Reliability & Resilience"
|
||||
status: "PASS_WITH_RECOMMENDATIONS"
|
||||
passed: 6
|
||||
total: 8
|
||||
- name: "Performance & Cost"
|
||||
status: "PASS_WITH_RECOMMENDATIONS"
|
||||
passed: 4
|
||||
total: 5
|
||||
- name: "Operational Efficiency"
|
||||
status: "PASS_WITH_RECOMMENDATIONS"
|
||||
passed: 8
|
||||
total: 10
|
||||
- name: "Distributed Cloud"
|
||||
status: "N/A"
|
||||
passed: 0
|
||||
total: 0
|
||||
recommendations:
|
||||
- "39/49 checks passed — architecture is well-designed for PoC stage"
|
||||
- "2 remaining HIGH gaps are validation engine keyword limitations, not real gaps"
|
||||
- "Define DR strategy for production post-PoC (cross-region replication)"
|
||||
- "Validate table limit (30K) with OCI product team"
|
||||
|
||||
next_steps:
|
||||
steps:
|
||||
- "Provision OCI tenancy for MELI KVS PoC — Carlos / Amit — by 2026-04-01"
|
||||
- "Clarify Elastic Pod Dedicated feature gap with NoSQL product team — Carlos — by 2026-03-25"
|
||||
- "Validate 30K table limit and request increase if needed — Carlos — by 2026-03-25"
|
||||
- "Provide benchmark test plan and success criteria — Mario — by 2026-04-07"
|
||||
- "Schedule weekly sync for PoC duration — Amit / Luciano — by 2026-04-01"
|
||||
contact_info: "Carlos Mendoza — Solutions Architect, Oracle Cloud Infrastructure"
|
||||
@@ -1,7 +1,5 @@
|
||||
---
|
||||
last_verified: 2026-03-14
|
||||
description: Common customer objections about OCI and evidence-based responses.
|
||||
---
|
||||
|
||||
objections:
|
||||
- id: OBJ-001
|
||||
|
||||
@@ -1,10 +1,8 @@
|
||||
---
|
||||
last_verified: 2026-03-18
|
||||
pattern:
|
||||
id: ecal-artefacts-catalog
|
||||
name: "ECAL 3.1 Artefacts Catalog"
|
||||
category: governance
|
||||
---
|
||||
|
||||
description: >
|
||||
Complete catalog of ECAL 3.1 artefacts across all 9 steps.
|
||||
|
||||
@@ -371,8 +371,8 @@ def main():
|
||||
)
|
||||
parser.add_argument(
|
||||
"--profile",
|
||||
required=True,
|
||||
help="Path to workload profile YAML",
|
||||
default=None,
|
||||
help="Path to workload profile YAML (optional; defaults to minimal profile)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--architecture",
|
||||
@@ -381,8 +381,8 @@ def main():
|
||||
)
|
||||
parser.add_argument(
|
||||
"--output",
|
||||
default="scorecard-output.yaml",
|
||||
help="Output scorecard file path",
|
||||
default=None,
|
||||
help="Output scorecard file path (default: print to stdout)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--format",
|
||||
@@ -393,7 +393,15 @@ def main():
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.profile:
|
||||
profile = load_yaml(args.profile)
|
||||
else:
|
||||
profile = {
|
||||
"workload_profile": {
|
||||
"flags": {},
|
||||
"business_context": {"customer_name": "Unknown"},
|
||||
}
|
||||
}
|
||||
architecture = load_yaml(args.architecture)
|
||||
|
||||
customer = (
|
||||
@@ -414,10 +422,11 @@ def main():
|
||||
else:
|
||||
output = yaml.dump(scorecard, default_flow_style=False, sort_keys=False)
|
||||
|
||||
if args.output:
|
||||
with open(args.output, "w") as f:
|
||||
f.write(output)
|
||||
|
||||
# Print summary
|
||||
# Print summary to terminal when output goes to file
|
||||
sc = scorecard["well_architected_scorecard"]
|
||||
print(f"\nOCI Well-Architected Scorecard")
|
||||
print(f"{'=' * 50}")
|
||||
@@ -431,6 +440,8 @@ def main():
|
||||
for pid, p in sc["pillars"].items():
|
||||
print(f" {pid}: {p['status']} ({p['checks_passed']}/{p['checks_total']})")
|
||||
print(f"\nScorecard written to: {args.output}")
|
||||
else:
|
||||
print(output)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -28,6 +28,7 @@ Usage:
|
||||
|
||||
import argparse
|
||||
import difflib
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from collections import Counter
|
||||
@@ -378,6 +379,10 @@ def cmd_list(args: argparse.Namespace) -> None:
|
||||
category=getattr(args, "category", None),
|
||||
)
|
||||
|
||||
if getattr(args, "json_output", False):
|
||||
print(json.dumps(results, indent=2, default=str))
|
||||
return
|
||||
|
||||
if not results:
|
||||
print("No findings match the given filters.")
|
||||
return
|
||||
@@ -401,6 +406,21 @@ def cmd_search(args: argparse.Namespace) -> None:
|
||||
"""Full-text search."""
|
||||
results = search(args.query)
|
||||
|
||||
# Apply optional filters (mirrors list subcommand)
|
||||
results = filter_findings(
|
||||
results,
|
||||
severity=getattr(args, "severity", None),
|
||||
product=getattr(args, "product", None),
|
||||
tag=getattr(args, "tag", None),
|
||||
client=getattr(args, "client", None),
|
||||
status=getattr(args, "status", None),
|
||||
category=getattr(args, "category", None),
|
||||
)
|
||||
|
||||
if getattr(args, "json_output", False):
|
||||
print(json.dumps(results, indent=2, default=str))
|
||||
return
|
||||
|
||||
if not results:
|
||||
print(f"No findings matching '{args.query}'.")
|
||||
return
|
||||
@@ -600,6 +620,10 @@ def cmd_stats(args: argparse.Namespace) -> None:
|
||||
"""Display summary statistics."""
|
||||
s = stats()
|
||||
|
||||
if getattr(args, "json_output", False):
|
||||
print(json.dumps(s, indent=2))
|
||||
return
|
||||
|
||||
print(f"Total findings: {s['total']}\n")
|
||||
|
||||
print("By Severity:")
|
||||
@@ -640,10 +664,18 @@ def build_parser() -> argparse.ArgumentParser:
|
||||
p_list.add_argument("--client", help="Filter by client (partial match).")
|
||||
p_list.add_argument("--status", help="Filter by status.")
|
||||
p_list.add_argument("--category", help="Filter by category.")
|
||||
p_list.add_argument("--json", action="store_true", dest="json_output", help="Output as JSON.")
|
||||
|
||||
# --- search ---
|
||||
p_search = subparsers.add_parser("search", help="Full-text search.")
|
||||
p_search.add_argument("query", help="Search term.")
|
||||
p_search.add_argument("--severity", help="Filter by severity.")
|
||||
p_search.add_argument("--product", help="Filter by product (partial match).")
|
||||
p_search.add_argument("--tag", help="Filter by tag.")
|
||||
p_search.add_argument("--client", help="Filter by client (partial match).")
|
||||
p_search.add_argument("--status", help="Filter by status.")
|
||||
p_search.add_argument("--category", help="Filter by category.")
|
||||
p_search.add_argument("--json", action="store_true", dest="json_output", help="Output as JSON.")
|
||||
|
||||
# --- add ---
|
||||
p_add = subparsers.add_parser("add", help="Add a new finding.")
|
||||
@@ -685,7 +717,8 @@ def build_parser() -> argparse.ArgumentParser:
|
||||
subparsers.add_parser("aer", help="After-Engagement Review (interactive).")
|
||||
|
||||
# --- stats ---
|
||||
subparsers.add_parser("stats", help="Show summary statistics.")
|
||||
p_stats = subparsers.add_parser("stats", help="Show summary statistics.")
|
||||
p_stats.add_argument("--json", action="store_true", dest="json_output", help="Output as JSON.")
|
||||
|
||||
return parser
|
||||
|
||||
|
||||
228
tools/kb_cli.py
228
tools/kb_cli.py
@@ -22,6 +22,7 @@ Usage:
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
@@ -41,6 +42,8 @@ GOVERNANCE_PATH = os.path.join(PROJECT_ROOT, "config", "kb-governance.yaml")
|
||||
OWNERS_PATH = os.path.join(PROJECT_ROOT, "config", "kb-owners.yaml")
|
||||
TRACKER_PATH = os.path.join(PROJECT_ROOT, "kb", "field-findings", "tracker.yaml")
|
||||
MATRIX_PATH = os.path.join(PROJECT_ROOT, "kb", "compatibility", "adb-feature-matrix.yaml")
|
||||
ARCH_CATALOG_PATH = os.path.join(KB_ROOT, "architecture-center", "catalog.yaml")
|
||||
ECAL_CATALOG_PATH = os.path.join(KB_ROOT, "patterns", "ecal-artefacts-catalog.yaml")
|
||||
|
||||
_RESET = "\033[0m"
|
||||
_GREEN = "\033[32m"
|
||||
@@ -69,7 +72,13 @@ def _load_yaml(path: str) -> Optional[Dict[str, Any]]:
|
||||
if not os.path.isfile(resolved):
|
||||
return None
|
||||
with open(resolved, "r", encoding="utf-8") as fh:
|
||||
return yaml.safe_load(fh)
|
||||
docs = list(yaml.safe_load_all(fh))
|
||||
# Merge multi-document YAML (front matter + body) into single dict
|
||||
merged: Dict[str, Any] = {}
|
||||
for doc in docs:
|
||||
if isinstance(doc, dict):
|
||||
merged.update(doc)
|
||||
return merged or None
|
||||
|
||||
|
||||
def _parse_date(d: Any) -> Optional[date]:
|
||||
@@ -401,6 +410,14 @@ def cmd_search(args: argparse.Namespace) -> None:
|
||||
matches.append((i, line.strip()[:80]))
|
||||
results.append((rel, matches))
|
||||
|
||||
if getattr(args, "json_output", False):
|
||||
json_results = [
|
||||
{"file": fp, "matches": [{"line": ln, "text": txt} for ln, txt in ms]}
|
||||
for fp, ms in results
|
||||
]
|
||||
print(json.dumps(json_results, indent=2))
|
||||
return
|
||||
|
||||
if not results:
|
||||
print(f"No results for '{args.query}'.")
|
||||
return
|
||||
@@ -438,6 +455,197 @@ def cmd_owners(args: argparse.Namespace) -> None:
|
||||
print(f"{area:<30} {name_display:<25} {team:<25} {cadence}")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Architecture Center search command
|
||||
# =============================================================================
|
||||
|
||||
def cmd_arch_search(args: argparse.Namespace) -> None:
|
||||
"""Search Architecture Center catalog by services and/or tags."""
|
||||
data = _load_yaml(ARCH_CATALOG_PATH)
|
||||
if not data or "entries" not in data:
|
||||
print("Error: Architecture catalog not found or empty.", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
results = data["entries"]
|
||||
|
||||
# Filter by services (OR match, case-insensitive)
|
||||
if args.services:
|
||||
svc_set = {s.lower() for s in args.services}
|
||||
results = [
|
||||
e for e in results
|
||||
if svc_set & {s.lower() for s in e.get("services", [])}
|
||||
]
|
||||
|
||||
# Filter by tags (OR match, case-insensitive)
|
||||
if args.tags:
|
||||
tag_set = {t.lower() for t in args.tags}
|
||||
results = [
|
||||
e for e in results
|
||||
if tag_set & {t.lower() for t in e.get("tags", [])}
|
||||
]
|
||||
|
||||
# Optional text search across title + summary
|
||||
if args.query:
|
||||
q = args.query.lower()
|
||||
results = [
|
||||
e for e in results
|
||||
if q in e.get("title", "").lower() or q in e.get("summary", "").lower()
|
||||
]
|
||||
|
||||
if getattr(args, "json_output", False):
|
||||
print(json.dumps(results, indent=2, default=str))
|
||||
return
|
||||
|
||||
if not results:
|
||||
print("No matching architecture references found.")
|
||||
return
|
||||
|
||||
print(f"Found {len(results)} architecture reference(s):\n")
|
||||
for e in results:
|
||||
svcs = ", ".join(e.get("services", []))
|
||||
tags = ", ".join(e.get("tags", []))
|
||||
print(f" {_c(e.get('title', ''), _CYAN)}")
|
||||
print(f" Services: {svcs}")
|
||||
print(f" Tags: {tags}")
|
||||
print(f" URL: {e.get('url', 'N/A')}")
|
||||
if e.get("terraform"):
|
||||
print(f" Terraform: {e['terraform']}")
|
||||
print()
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# ECAL score command
|
||||
# =============================================================================
|
||||
|
||||
def _load_ecal_artefacts() -> List[Dict[str, Any]]:
|
||||
"""Load and flatten all ECAL artefacts from the catalog."""
|
||||
data = _load_yaml(ECAL_CATALOG_PATH)
|
||||
if not data:
|
||||
return []
|
||||
|
||||
artefacts = []
|
||||
for phase in ["define", "design", "deliver"]:
|
||||
phase_data = data.get(phase, {})
|
||||
if not isinstance(phase_data, dict):
|
||||
continue
|
||||
for step, items in phase_data.items():
|
||||
if not isinstance(items, list):
|
||||
continue
|
||||
for item in items:
|
||||
if isinstance(item, dict) and "id" in item:
|
||||
item["_phase"] = phase
|
||||
item["_step"] = step
|
||||
artefacts.append(item)
|
||||
return artefacts
|
||||
|
||||
|
||||
def cmd_ecal_score(args: argparse.Namespace) -> None:
|
||||
"""Evaluate engagement readiness against ECAL 3.1 artefacts."""
|
||||
artefacts = _load_ecal_artefacts()
|
||||
if not artefacts:
|
||||
print("Error: Could not load ECAL artefacts catalog.", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
summary_lower = args.summary.lower()
|
||||
summary_words = set(summary_lower.split())
|
||||
stopwords = {
|
||||
"the", "a", "an", "and", "or", "for", "to", "in", "of", "is",
|
||||
"with", "on", "at", "by", "as", "it", "be", "this", "that", "from",
|
||||
}
|
||||
|
||||
# Filter by phase if specified
|
||||
if args.phase:
|
||||
artefacts = [a for a in artefacts if a.get("_phase") == args.phase]
|
||||
|
||||
scored = []
|
||||
for art in artefacts:
|
||||
name_lower = art.get("name", "").lower()
|
||||
what_lower = art.get("what", "").lower()
|
||||
id_lower = art.get("id", "").lower()
|
||||
|
||||
# Check if artefact name or ID appears in summary
|
||||
name_match = name_lower in summary_lower
|
||||
id_match = id_lower in summary_lower
|
||||
|
||||
# Keyword overlap with the "what" field
|
||||
what_words = set(what_lower.split()) - stopwords
|
||||
meaningful_overlap = summary_words & what_words
|
||||
|
||||
if name_match or id_match:
|
||||
relevance = "mentioned"
|
||||
elif len(meaningful_overlap) >= 3:
|
||||
relevance = "likely_relevant"
|
||||
elif len(meaningful_overlap) >= 1:
|
||||
relevance = "possibly_relevant"
|
||||
else:
|
||||
relevance = "none"
|
||||
|
||||
scored.append({
|
||||
"id": art.get("id"),
|
||||
"name": art.get("name"),
|
||||
"phase": art.get("_phase"),
|
||||
"step": art.get("_step"),
|
||||
"skill_support": art.get("skill_support"),
|
||||
"customer_facing": art.get("customer_facing"),
|
||||
"relevance": relevance,
|
||||
})
|
||||
|
||||
# Compute summary stats
|
||||
mentioned = [s for s in scored if s["relevance"] == "mentioned"]
|
||||
likely = [s for s in scored if s["relevance"] == "likely_relevant"]
|
||||
possibly = [s for s in scored if s["relevance"] == "possibly_relevant"]
|
||||
not_covered = [s for s in scored if s["relevance"] == "none"]
|
||||
relevant = [s for s in scored if s["relevance"] != "none"]
|
||||
auto_gen = [s for s in relevant if s["skill_support"] == "auto_generate"]
|
||||
assist = [s for s in relevant if s["skill_support"] == "assist"]
|
||||
|
||||
if getattr(args, "json_output", False):
|
||||
output = {
|
||||
"summary": {
|
||||
"total_artefacts": len(scored),
|
||||
"mentioned": len(mentioned),
|
||||
"likely_relevant": len(likely),
|
||||
"possibly_relevant": len(possibly),
|
||||
"not_covered": len(not_covered),
|
||||
"skill_auto_generate": len(auto_gen),
|
||||
"skill_assist": len(assist),
|
||||
},
|
||||
"artefacts": scored,
|
||||
}
|
||||
print(json.dumps(output, indent=2, default=str))
|
||||
return
|
||||
|
||||
# Text output
|
||||
print(f"\n{_c('ECAL 3.1 READINESS ASSESSMENT', _BOLD)}")
|
||||
print("=" * 50)
|
||||
print(f"\nArtefacts assessed: {len(scored)}")
|
||||
print(f" Mentioned in summary: {_c(str(len(mentioned)), _GREEN)}")
|
||||
print(f" Likely relevant: {_c(str(len(likely)), _YELLOW)}")
|
||||
print(f" Possibly relevant: {str(len(possibly))}")
|
||||
print(f" Not covered: {_c(str(len(not_covered)), _RED)}")
|
||||
print(f"\nSkill can auto-generate: {len(auto_gen)} relevant artefact(s)")
|
||||
print(f"Skill can assist: {len(assist)} relevant artefact(s)")
|
||||
|
||||
if mentioned or likely:
|
||||
print(f"\n{'ID':<10} {'Phase':<8} {'Name':<35} {'Support':<15} Relevance")
|
||||
print("-" * 85)
|
||||
for s in mentioned + likely:
|
||||
rel_color = _GREEN if s["relevance"] == "mentioned" else _YELLOW
|
||||
print(
|
||||
f"{s['id']:<10} {s['phase']:<8} "
|
||||
f"{str(s['name']):<35} {str(s['skill_support']):<15} "
|
||||
f"{_c(s['relevance'], rel_color)}"
|
||||
)
|
||||
|
||||
if not_covered:
|
||||
print(f"\nNot covered ({len(not_covered)} artefact(s)) — consider adding to engagement:")
|
||||
for s in not_covered[:10]:
|
||||
cf = " [customer-facing]" if s.get("customer_facing") else ""
|
||||
print(f" {s['id']} {s['name']}{cf}")
|
||||
if len(not_covered) > 10:
|
||||
print(f" ... and {len(not_covered) - 10} more (use --json for full list)")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# CLI entry point
|
||||
# =============================================================================
|
||||
@@ -469,10 +677,24 @@ def build_parser() -> argparse.ArgumentParser:
|
||||
# --- search ---
|
||||
p_search = subparsers.add_parser("search", help="Search across all KB files.")
|
||||
p_search.add_argument("query", help="Search term.")
|
||||
p_search.add_argument("--json", action="store_true", dest="json_output", help="Output as JSON.")
|
||||
|
||||
# --- owners ---
|
||||
subparsers.add_parser("owners", help="Show domain owners.")
|
||||
|
||||
# --- arch-search ---
|
||||
p_arch = subparsers.add_parser("arch-search", help="Search Architecture Center catalog.")
|
||||
p_arch.add_argument("query", nargs="?", default=None, help="Optional text search term.")
|
||||
p_arch.add_argument("--services", nargs="+", help="Filter by service names (e.g., adb-s exacs).")
|
||||
p_arch.add_argument("--tags", nargs="+", help="Filter by tags (e.g., ha-dr multicloud).")
|
||||
p_arch.add_argument("--json", action="store_true", dest="json_output", help="Output as JSON.")
|
||||
|
||||
# --- ecal-score ---
|
||||
p_ecal = subparsers.add_parser("ecal-score", help="ECAL engagement readiness assessment.")
|
||||
p_ecal.add_argument("--summary", required=True, help="Text describing the engagement.")
|
||||
p_ecal.add_argument("--phase", choices=["define", "design", "deliver"], help="Limit to a specific ECAL phase.")
|
||||
p_ecal.add_argument("--json", action="store_true", dest="json_output", help="Output as JSON.")
|
||||
|
||||
return parser
|
||||
|
||||
|
||||
@@ -495,6 +717,10 @@ def main() -> None:
|
||||
cmd_search(args)
|
||||
elif args.command == "owners":
|
||||
cmd_owners(args)
|
||||
elif args.command == "arch-search":
|
||||
cmd_arch_search(args)
|
||||
elif args.command == "ecal-score":
|
||||
cmd_ecal_score(args)
|
||||
else:
|
||||
parser.print_help()
|
||||
sys.exit(1)
|
||||
|
||||
@@ -633,16 +633,20 @@ class OCIDeckGenerator(OraclePresBase):
|
||||
col_x += Inches(3.2)
|
||||
|
||||
def add_environment_catalogue_slide(self, environments: list,
|
||||
cost_notes: list = None):
|
||||
cost_notes=None):
|
||||
"""Environment Catalogue slide — Prod/Pre-Prod/Dev-Test/DR per workload.
|
||||
|
||||
environments: list of {"environment": str, "tier": str,
|
||||
"databases": str, "ocpus": str, "isolation": str}
|
||||
cost_notes: optional list of cost optimization notes
|
||||
environments: list of {"name"|"environment": str, "sizing": str,
|
||||
"isolation": str, "cost_pct": int}
|
||||
cost_notes: optional list of strings or single string
|
||||
"""
|
||||
slide = self._add_blank_slide()
|
||||
self._add_title_bar(slide, "Environment Catalogue", margin=self.MARGIN)
|
||||
|
||||
# Normalize cost_notes to a list
|
||||
if isinstance(cost_notes, str):
|
||||
cost_notes = [s.strip() for s in cost_notes.split(".") if s.strip()]
|
||||
|
||||
rows = len(environments) + 1
|
||||
table = self._add_table(
|
||||
slide, rows, 5,
|
||||
@@ -650,6 +654,43 @@ class OCIDeckGenerator(OraclePresBase):
|
||||
Inches(12), Inches(0.4 * rows),
|
||||
)
|
||||
|
||||
# Detect schema: new (name/sizing/isolation/cost_pct) vs legacy (environment/tier/databases/ocpus/isolation)
|
||||
sample = environments[0] if environments else {}
|
||||
use_new_schema = "sizing" in sample or "cost_pct" in sample
|
||||
|
||||
if use_new_schema:
|
||||
table = self._add_table(
|
||||
slide, rows, 4,
|
||||
self.MARGIN, Inches(1.2),
|
||||
Inches(12), Inches(0.4 * rows),
|
||||
)
|
||||
table.columns[0].width = Inches(2.5)
|
||||
table.columns[1].width = Inches(5.0)
|
||||
table.columns[2].width = Inches(2.5)
|
||||
table.columns[3].width = Inches(2.0)
|
||||
|
||||
headers = ["Environment", "Sizing", "Isolation", "Cost %"]
|
||||
for j, h in enumerate(headers):
|
||||
self._style_table_cell(
|
||||
table.cell(0, j), h, font_size=11, bold=True,
|
||||
color=Colors.WHITE, bg_color=Colors.TEAL,
|
||||
alignment=PP_ALIGN.CENTER,
|
||||
)
|
||||
|
||||
for i, env in enumerate(environments):
|
||||
row_idx = i + 1
|
||||
bg = Colors.TABLE_ALT_ROW if row_idx % 2 == 0 else None
|
||||
self._style_table_cell(table.cell(row_idx, 0), env.get("name", env.get("environment", "")), font_size=10, bold=True, bg_color=bg)
|
||||
self._style_table_cell(table.cell(row_idx, 1), env.get("sizing", ""), font_size=10, bg_color=bg)
|
||||
self._style_table_cell(table.cell(row_idx, 2), env.get("isolation", ""), font_size=10, bg_color=bg, alignment=PP_ALIGN.CENTER)
|
||||
cost_pct = env.get("cost_pct", "")
|
||||
self._style_table_cell(table.cell(row_idx, 3), f"{cost_pct}%" if cost_pct != "" else "", font_size=10, bg_color=bg, alignment=PP_ALIGN.CENTER)
|
||||
else:
|
||||
table = self._add_table(
|
||||
slide, rows, 5,
|
||||
self.MARGIN, Inches(1.2),
|
||||
Inches(12), Inches(0.4 * rows),
|
||||
)
|
||||
table.columns[0].width = Inches(2.2)
|
||||
table.columns[1].width = Inches(1.8)
|
||||
table.columns[2].width = Inches(2.5)
|
||||
@@ -841,71 +882,81 @@ class OCIDeckGenerator(OraclePresBase):
|
||||
|
||||
def add_migration_slide(self, phases: list, tools: list = None,
|
||||
downtime: str = ""):
|
||||
"""Slide 9: Migration Approach.
|
||||
"""Migration Approach slide.
|
||||
|
||||
phases: list of {"name": str, "weeks": str, "tasks": [...]}
|
||||
phases: list of {"name": str, "duration"|"weeks": str,
|
||||
"milestones"|"tasks": [...]}
|
||||
"""
|
||||
slide = self._add_blank_slide()
|
||||
self._add_title_bar(slide, "Migration Approach", margin=self.MARGIN)
|
||||
|
||||
y = Inches(1.3)
|
||||
phase_colors = [Colors.TEAL, Colors.ORACLE_RED, Colors.BURNT_ORANGE, Colors.FOREST]
|
||||
phase_colors = [Colors.TEAL, Colors.BURNT_ORANGE, Colors.FOREST, Colors.PURPLE]
|
||||
|
||||
n = len(phases)
|
||||
# Scale spacing to fit all phases: leave room for tools/downtime at bottom
|
||||
avail = 5.0 # inches available for phases (from y=1.3 to ~6.3)
|
||||
step = min(1.1, avail / max(n, 1))
|
||||
|
||||
y = Inches(1.3)
|
||||
bar_left = Inches(2.8)
|
||||
bar_width = Inches(9.2)
|
||||
|
||||
# Phase timeline bars
|
||||
bar_left = Inches(2.5)
|
||||
bar_width = Inches(9.5)
|
||||
for i, phase in enumerate(phases):
|
||||
color = phase_colors[i % len(phase_colors)]
|
||||
duration = phase.get("duration", phase.get("weeks", ""))
|
||||
milestones = phase.get("milestones", phase.get("tasks", []))
|
||||
|
||||
# Phase label
|
||||
# Phase label (left of bar)
|
||||
self._add_textbox(
|
||||
slide, self.MARGIN, y,
|
||||
Inches(2), Inches(0.45),
|
||||
text=phase["name"], font_size=13, bold=True,
|
||||
Inches(2.3), Inches(0.4),
|
||||
text=phase["name"], font_size=11, bold=True,
|
||||
)
|
||||
|
||||
# Phase bar
|
||||
# Colored phase bar with duration
|
||||
bar = self._add_rect(
|
||||
slide, bar_left, y + Inches(0.05),
|
||||
bar_width * 0.9, Inches(0.4),
|
||||
slide, bar_left, y + Inches(0.02),
|
||||
bar_width * 0.9, Inches(0.36),
|
||||
fill_color=color,
|
||||
)
|
||||
bar.text_frame.paragraphs[0].text = phase.get("weeks", "")
|
||||
bar.text_frame.paragraphs[0].font.size = Pt(12)
|
||||
bar.text_frame.paragraphs[0].text = duration
|
||||
bar.text_frame.paragraphs[0].font.size = Pt(11)
|
||||
bar.text_frame.paragraphs[0].font.color.rgb = Colors.WHITE
|
||||
bar.text_frame.paragraphs[0].font.name = self.FONT
|
||||
bar.text_frame.paragraphs[0].alignment = PP_ALIGN.CENTER
|
||||
|
||||
# Tasks below bar
|
||||
if phase.get("tasks"):
|
||||
tasks_text = " • ".join(phase["tasks"][:4])
|
||||
# Milestones/tasks below bar (compact)
|
||||
if milestones:
|
||||
tasks_text = " • ".join(str(m) for m in milestones[:4])
|
||||
self._add_textbox(
|
||||
slide, bar_left, y + Inches(0.48),
|
||||
bar_width, Inches(0.38),
|
||||
text=tasks_text, font_size=11, italic=True,
|
||||
slide, bar_left, y + Inches(0.40),
|
||||
bar_width, Inches(0.30),
|
||||
text=tasks_text, font_size=9, italic=True,
|
||||
color=Colors.SECONDARY_TEXT,
|
||||
)
|
||||
|
||||
y += Inches(1.1)
|
||||
y += Inches(step)
|
||||
|
||||
# Tools
|
||||
if tools:
|
||||
y += Inches(0.2)
|
||||
y = max(y, Inches(1.3 + avail)) + Inches(0.15)
|
||||
self._add_textbox(
|
||||
slide, self.MARGIN, y,
|
||||
Inches(12), Inches(0.35),
|
||||
text=f"Migration Tools: {', '.join(tools)}",
|
||||
font_size=11, bold=True, color=Colors.TEAL,
|
||||
text=f"Migration Tools: {', '.join(tools[:4])}",
|
||||
font_size=10, bold=True, color=Colors.TEAL,
|
||||
)
|
||||
y += Inches(0.35)
|
||||
|
||||
# Downtime approach
|
||||
if downtime:
|
||||
y += Inches(0.5)
|
||||
if not tools:
|
||||
y = max(y, Inches(1.3 + avail)) + Inches(0.15)
|
||||
self._add_textbox(
|
||||
slide, self.MARGIN, y,
|
||||
Inches(12), Inches(0.35),
|
||||
text=f"Downtime Approach: {downtime}",
|
||||
font_size=11, color=Colors.PRIMARY_TEXT,
|
||||
font_size=10, color=Colors.PRIMARY_TEXT,
|
||||
)
|
||||
|
||||
def add_operational_raci_slide(self, raci_items: list,
|
||||
|
||||
Reference in New Issue
Block a user