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Roadmap

Demo expansion is closed.

Next phase: v1 reviewer contract stabilization.

v1.1 theme: Operator Reproduction Release.

v1.2 theme: Architecture Cohesion Release.

The concrete milestone is v1.0 Five-Demo Contract Freeze.

The repo now has five reviewer-verifiable demos and a clear docs/reviewer-path.md. The priority is to keep the demo matrix stable, preserve artifact names, keep release evidence explicit, and make review faster without implying a SIEM, dashboard, or production monitoring platform.

Recently added:

v1.2 Architecture Cohesion Release

The v1.2 release theme is architecture cohesion, not demo expansion.

Deliverable focus:

  1. Resolve repository, package, and version identity: telemetry-lab, telemetry_lab, and 1.2.0.
  2. Establish the unified CLI: telemetry-lab run window, telemetry-lab run ai-assisted, telemetry-lab run dedup, telemetry-lab run config-change, telemetry-lab run cloud-iam, and telemetry-lab verify.
  3. Generate run_manifest.json for each synthetic-local run with input and config digests.
  4. Add property tests for window boundaries and dedup cooldown invariants.
  5. Document notebooks as auxiliary exploration while the core pipeline remains headless.
  6. Add a schema compatibility matrix for reviewer-facing JSON and JSONL artifacts.

v1.1 Operator Reproduction Release

The v1.1 release theme is operator reproduction, not demo expansion.

Deliverable focus:

  1. Keep the five-demo matrix unchanged.
  2. Make clone-to-artifact-regeneration instructions short and explicit.
  3. Provide issue templates for schema drift, artifact regeneration failures, demo boundary questions, and documentation reproduction questions.
  4. Provide one reviewer-friendly release contract gate command.
  5. Keep README verification commands copy/paste runnable.

External Review Surface

Open review issues should stay sparse and tied to committed evidence. The current public review entry should name one artifact, one schema, the expected field-level output, and the acceptance criteria for a bounded documentation or schema-contract correction.

Parked review directions:

  • Clean-clone operator reproduction feedback, only when it names exact command output or a documentation mismatch.
  • Synthetic edge-case additions, only when the input and expected artifact or schema rejection are already bounded to one existing demo.
  • Human-verification boundary examples, only when they use existing committed artifacts and do not imply an incident verdict or production workflow.

v1.2 Blocker

  • Before tagging v1.2, confirm package identity remains aligned across repository metadata, pyproject.toml, console scripts, docs, and tests.

v1 Reviewer Contract Stabilization

  1. Stabilize the demo matrix.
  2. Treat v1.0 as a five-demo contract freeze, not a feature expansion.
  3. Freeze reviewer-visible artifact names unless a rename is intentional and documented across README, reviewer docs, demo docs, tests, and sample outputs.
  4. Keep JSON schema contracts aligned with reviewer-facing JSON and JSONL evidence artifacts across the five-demo matrix.
  5. Keep committed evidence artifacts aligned with regenerated pipeline output through python scripts/regenerate_artifacts.py --check.
  6. Keep cross-demo vocabulary stable for evidence workflow terms.
  7. Include reviewer-facing artifact diffs in every release, including explicit no-artifact-change notes when committed reviewer artifacts are unchanged.
  8. Keep one top-level reviewer pack as the primary no-guessing entrypoint.
  9. Keep the architecture diagram aligned with actual CLI and artifact behavior.
  10. Prefer regression tests and documentation accuracy over adding new workflow surface area.

The consolidation gate lives in docs/v1-readiness-gate.md.

Demo Expansion Closed

The optional final demo slot has been used by cloud-iam-change-investigation-demo.

Further work should focus on reviewer contract stability, documentation accuracy, tests, and committed artifact reproducibility rather than adding more workflow surface area.

Non-Directions

  • No production monitoring claims
  • No realtime ingestion or streaming state
  • No dashboard or service deployment
  • No alert routing or case management
  • No autonomous response