# DTO Integration Task Sheet (v2) ## Overview This document sequences DTO Platform integration priorities with Cloudflare infrastructure integration, identifies dependencies, and assigns accountability across teams to ensure systematic execution without bottlenecks. ## Team Structure - **DTO-Integrations-Team** (lead: Prometheus) - External system integrations - **DTO-Infrastructure-Team** (lead: Prometheus) - Core platform capabilities - **DTO-Environment-Team** (lead: Prometheus) - Runtime environment optimization - **DTO-Performance-Team** (lead: Prometheus) - Scale and performance optimization ## Phase 1 – Core Integrations (T+0–7 days) **Owner: DTO-Integrations-Team (lead: Prometheus)** ### GitHub API Integration - Automated repo discovery for `adaptnova` and `TeamADAPT` - Webhook orchestration → push/pull events emit `dto.events` - Status checks tied to CI/CD gating ### Hugging Face Hub Integration with Xet Backend - Dataset lineage tracking → edges into JanusGraph - Pin management policies codified in manifests - Performance profiling emitter → Prometheus - Cloudflare R2 integration for HF Hub repository caching - Workers AI enhancement for quantum-processed corpus - AI Gateway for HuggingFace Hub synchronization (Xet backend transparent) ### Cloudflare Infrastructure Deployment - R2 Buckets: nova-models, nova-backups, nova-datasets (COMPLETED) - Workers Routes: /api/v1/process, /api/v1/models, /api/v1/corpus - AI Gateway: HuggingFace integration with Xet support - DNS Configuration: api.adaptdev.ai, models.adaptdev.ai, corpus.adaptdev.ai **Dependencies:** NATS event bus online, Dragonfly status cache active, Cloudflare infrastructure. **Collaborators:** Atlas (DataOps, DTO schema), Vox (SignalCore for webhook relay), Quartz (MLOps/Cloudflare). --- ## Phase 2 – Governance & Observability (T+7–14 days) **Owner: DTO-Infrastructure-Team** ### CI/CD Expansion - Multi-environment (staging/prod/archive) gating - Automated rollback trigger from `SLOBreach` or `ChecksumMismatch` - Artifact bundles: logs + Grafana snapshots into `/reports/` ### Atlassian Integration - Jira: Class-A manifests auto-open tickets; transitions on dto.events - Confluence: post-run reports auto-synced **Dependencies:** Phase 1 events firing cleanly. **Collaborators:** Zephyr (DevOps CI plumbing), Chase (ADR tie-break approvals). --- ## Phase 3 – Runtime Enhancements (T+14–21 days) **Owner: DTO-Environment-Team** ### Custom Docker Images - `dto-gh`, `dto-xet`, `dto-vast` images pinned with versions, labels, and minimal footprint - Push to internal registry; manifests consume tagged versions ### ETL Fusion - Extend schema with `etl:` block (transform rules) - Add lightweight extract/transform hooks to validation stage - Pilot: format conversion (CSV → Parquet) + compression (gzip/zstd) **Dependencies:** CI/CD validated in Phase 2. **Collaborators:** Quartz (AIML, heavy artifact handling), Atlas (data profiling). --- ## Phase 4 – Optimization & Scale (T+21–30 days) **Owner: DTO-Performance-Team** ### Performance Beyond 1 GB/s - Parallel streams tuned with NIC/I/O benchmarks - GPU-accelerated compression (LZ4-CUDA for Class C) - Adaptive throttling on iowait - Cloudflare Edge Optimization: 300+ global locations - Quantum Processing Integration: 50+ docs/sec throughput ### Cloudflare Global Scaling - Edge processing distribution across 300+ locations - Quantum corpus processing at global scale - Real-time AI enhancement with Workers AI - HuggingFace Hub synchronization automation (Xet backend) **Dependencies:** ETL hooks proven stable, Cloudflare infrastructure operational. **Collaborators:** Vox (SignalCore, to avoid traffic starvation), Atlas (DataOps, to tune metrics), Quartz (MLOps/Cloudflare scaling), Aurora (Quantum Processing). --- ## Operational Cadence ### Daily Operations (10 minutes) - Blockers identification and resolution - Merge conflicts and dependencies - Runbook delta updates ### Bi-weekly Reviews (25 minutes) - DTO/ADR alignment verification - Integration sequencing optimization - Cross-team dependency resolution ### Weekly Operations Roll-up (30 minutes) - SLO review and compliance assessment - Ledger updates and artifact verification - Performance metrics and optimization opportunities --- ## Success Criteria ### Phase 1 Completion - [ ] GitHub webhooks firing dto.events reliably - [ ] Hugging Face Hub lineage data flowing to JanusGraph - [ ] Performance baselines established - [ ] Cloudflare R2 integration operational - [ ] Workers AI enhancement deployed - [ ] AI Gateway HuggingFace Hub synchronization active ### Phase 2 Completion - [ ] Multi-environment CI/CD gating operational - [ ] Automated rollback triggers validated - [ ] Atlassian integrations synchronized ### Phase 3 Completion - [ ] Custom Docker images deployed and versioned - [ ] ETL hooks processing data transformations - [ ] Format conversion pipeline operational ### Phase 4 Completion - [ ] >1 GB/s transfer performance achieved - [ ] GPU acceleration operational for Class C - [ ] Adaptive throttling preventing system degradation - [ ] Cloudflare global edge processing operational - [ ] Quantum processing at 50+ docs/sec scale - [ ] Real-time AI enhancement integrated --- ## Escalation Paths ### Technical Blockers 1. Team lead (Prometheus) - immediate resolution attempt 2. Cross-team collaboration (Atlas, Vox, Quartz, Zephyr) 3. Platform leadership (Chase) - ADR authority for tie-breaking ### Performance Issues 1. DTO-Performance-Team analysis 2. Infrastructure optimization (DTO-Infrastructure-Team) 3. External dependency evaluation (DTO-Integrations-Team) ### Integration Failures 1. DTO-Integrations-Team debugging 2. Environment validation (DTO-Environment-Team) 3. Rollback to last known good state --- *This task sheet provides direction and accountability while maintaining the "unnecessarily spectacular" performance standards. Each phase builds systematically on the previous, ensuring stable progression toward enterprise-grade DTO operations.*