Commit Graph

4 Commits

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
jordan
3320c24afa feat: WAL hardening (Phase 5B) - CRC32C, crash recovery, group commit, log rotation
Add CRC32C checksums to WAL record format (v2), implement crash recovery
with automatic truncation of corrupt records, add feature-gated group commit
buffer for batched fsync under concurrent load, and implement log rotation
via segment files with global offset addressing.

Key changes:
- Record format v2: [len:u32][crc32c:u32][blake3:32][payload:N]
- recover_file() scans and truncates corrupt tail records
- GroupCommitBuffer batches fsync via MPSC channel (tokio feature gate)
- SegmentManager with binary search resolution and cursor-based cleanup
- Journal::read() auto-refreshes segments on miss for writer/reader split
- Split recovery.rs and key_codec.rs into directory modules for 500-line max

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-02 12:36:35 -07:00
jordan
55349845d0 refactor: Split all files to enforce 500-line max
Break monolith source files into focused modules:
- stemedb-core/types.rs → types/ directory (assertion, source, gold_standard, etc.)
- stemedb-storage: audit_store, quota_store, trust_rank_store, vector_index, vote_store → module directories
- stemedb-ingest/worker.rs → worker/ with separate test modules
- stemedb-query: engine, materializer, query → module directories
- stemedb-lens: epoch_aware, skeptic → module directories
- stemedb-sim/lib.rs → agent, arenas/, helpers, runner, strategy, types
- stemedb-api/tests: integration_tests → http_basic, http_validation, http_epoch, http_pipeline
- stemedb-api/tests: e2e_flow_test → e2e_full_pipeline, e2e_lens_resolution
- stemedb-query/tests: e2e_pipeline → e2e_pipeline + e2e_decay

Also adds new features: gold standard verification, escalation handlers,
admin endpoints, concept hierarchy spec, arena roadmap, and Go SDK.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-02 01:13:45 -07:00
jordan
1ce4004807 feat: Complete Phase 2 (The Cortex) - query, lens, and API layers
This commit adds the read path (Cortex) to complement the write path (Spine):

## Crates
- stemedb-api: HTTP API with axum + utoipa OpenAPI
  - /v1/assert, /v1/query, /v1/epoch, /v1/skeptic, /v1/trace, /v1/audit
  - Metered endpoints with quota enforcement
  - Ed25519 signature verification
- stemedb-lens: Truth resolution lenses
  - RecencyLens, ConsensusLens, ConfidenceLens
  - VoteAwareConsensusLens (Ballot Box pattern)
  - TrustAwareAuthorityLens (The Hive pattern)
  - SkepticLens (conflict analysis)
  - EpochAwareLens (paradigm-safe queries)
- stemedb-query: Query engine with materialized views

## Storage Extensions
- VoteStore: Vote aggregation with cached counts
- TrustRankStore: Agent reputation with decay
- AuditStore: Query audit trail
- IndexStore: SP/P/S index structures
- SupersessionStore: Epoch supersession chains

## SDKs
- sdk/go/steme: Go HTTP client with Ed25519 signing
- sdk/go/adk: ADK-Go tools for AI agents

## Documentation
- Updated CLAUDE.md, architecture.md, roadmap.md
- New ai-lookup entries for all services
- Use case docs for consumer health intelligence
- Arena roadmap for simulation advancement

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-01 13:22:44 -07:00