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Author	SHA1	Message	Date
jml	3e7eddc074	feat: add enterprise production readiness infrastructure This commit implements comprehensive production hardening across multiple layers to prepare StemeDB for enterprise pilot deployments: ## API Layer - Add rate limiting middleware with configurable limits per endpoint - Enhance error handling with detailed context and proper HTTP status codes - Add security hardening tests for input validation and boundary conditions - Create store_helpers module for defensive storage access patterns ## Storage & WAL - Optimize group commit batching for higher throughput - Add defensive error handling in hybrid backend with proper fallbacks - Enhance WAL journal durability guarantees with fsync validation - Improve index store query performance with better caching ## Operations & Deployment - Add comprehensive operations documentation (deployment, monitoring, DR) - Create systemd units for backup, WAL archival, and verification - Add monitoring configs (Prometheus alerts, metrics exporters) - Implement backup/restore scripts with verification and S3 archival - Add DR drill automation and runbook procedures - Create load balancer configs (nginx, envoy) with health checks ## Documentation - Update CLAUDE.md with operations and troubleshooting guides - Expand roadmap with production readiness milestones - Add pilot success criteria and deployment reference architecture - Document TLS setup, monitoring integration, and incident response ## Configuration - Add .env.example with all required environment variables - Document resource sizing for different deployment scales - Add configuration examples for various deployment topologies This positions StemeDB for successful enterprise pilots with proper operational discipline, monitoring, backup/DR, and security hardening. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>	2026-02-12 06:08:15 +00:00
jml	3b5f88b4f0	feat(aphoria): implement claims architecture (A1-A5) with verify engine, corpus, coverage, and explain Complete Aphoria claims system overhaul: - A1: Rename ExtractedClaim to Observation (extractors produce observations, not claims) - A2: Add AuthoredClaim with full provenance, invariants, and authority tiers - A3: Verify engine comparing observations against authored claims, CLI + formatters - A4: Corpus as first-class assertions with predicate indexing, authority lens, trust packs - A5: Coverage analysis, explain/docs generation, self-audit extractor, claim suggester skill Also includes: 42 extractors updated for Observation type, verifiable_predicates trait, conflict detection with comparison modes, claims TOML persistence, Grafana dashboard, backup/restore scripts, and comprehensive test coverage. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-08 09:11:47 +00:00

Author

SHA1

Message

Date

jml

3e7eddc074

feat: add enterprise production readiness infrastructure

This commit implements comprehensive production hardening across multiple
layers to prepare StemeDB for enterprise pilot deployments:

## API Layer
- Add rate limiting middleware with configurable limits per endpoint
- Enhance error handling with detailed context and proper HTTP status codes
- Add security hardening tests for input validation and boundary conditions
- Create store_helpers module for defensive storage access patterns

## Storage & WAL
- Optimize group commit batching for higher throughput
- Add defensive error handling in hybrid backend with proper fallbacks
- Enhance WAL journal durability guarantees with fsync validation
- Improve index store query performance with better caching

## Operations & Deployment
- Add comprehensive operations documentation (deployment, monitoring, DR)
- Create systemd units for backup, WAL archival, and verification
- Add monitoring configs (Prometheus alerts, metrics exporters)
- Implement backup/restore scripts with verification and S3 archival
- Add DR drill automation and runbook procedures
- Create load balancer configs (nginx, envoy) with health checks

## Documentation
- Update CLAUDE.md with operations and troubleshooting guides
- Expand roadmap with production readiness milestones
- Add pilot success criteria and deployment reference architecture
- Document TLS setup, monitoring integration, and incident response

## Configuration
- Add .env.example with all required environment variables
- Document resource sizing for different deployment scales
- Add configuration examples for various deployment topologies

This positions StemeDB for successful enterprise pilots with proper
operational discipline, monitoring, backup/DR, and security hardening.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

2026-02-12 06:08:15 +00:00

jml

3b5f88b4f0

feat(aphoria): implement claims architecture (A1-A5) with verify engine, corpus, coverage, and explain

Complete Aphoria claims system overhaul:
- A1: Rename ExtractedClaim to Observation (extractors produce observations, not claims)
- A2: Add AuthoredClaim with full provenance, invariants, and authority tiers
- A3: Verify engine comparing observations against authored claims, CLI + formatters
- A4: Corpus as first-class assertions with predicate indexing, authority lens, trust packs
- A5: Coverage analysis, explain/docs generation, self-audit extractor, claim suggester skill

Also includes: 42 extractors updated for Observation type, verifiable_predicates trait,
conflict detection with comparison modes, claims TOML persistence, Grafana dashboard,
backup/restore scripts, and comprehensive test coverage.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-08 09:11:47 +00:00

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