adaptai / platform /dataops /dto /docs /INTEGRATION_TASKS.md
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# 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 β†’ push/pull events emit `dto.events`
- Status checks tied to CI/CD gating
### Hugging Face Hub Integration with Xet Backend
- Dataset lineage tracking β†’ edges into JanusGraph
- Pin management policies codified in manifests
- Performance profiling emitter β†’ 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 β†’ 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.*