# 08 — Roadmap From simple to complex, ordered by dependency — each stage is independently useful and validates the next. The guiding principle: **build the environment that makes everything else testable first.** ## Dependency graph ```mermaid graph TD S1["Stage 1
Dev environment + CI skeleton
Dev Containers, GitLab templates, multi-arch builds"] S2["Stage 2
Registry and artifacts
images, model weights, schemas, cleanup policies"] S3["Stage 3
Single-drone data pipeline
ingest → current/ → sealed Parquet → DuckDB"] S4["Stage 4
Serving layer
event hook, query API, local MinIO"] S5["Stage 5
Virtual swarm simulation
N drones in Compose, seeded scenarios, CI regression"] S6["Stage 6
Mesh network and security
WireGuard overlay, PKI provisioning, mTLS"] S7["Stage 7
Swarm sync
pose broadcast, detections pub/sub, bulk replication (rsync over SSH)"] S8["Stage 8
Ground warehouse
offload + audit, T3 store, replay tooling"] S9["Stage 9
Observability
platform metrics as sensor stream, ground dashboards"] S10["Stage 10
Fleet releases
manifest, mirror, dock delivery, atomic rollback"] S11["Stage 11
Query standard
GraphQL contract, schema registry, multi-team surface"] S1 --> S2 S1 --> S3 S2 --> S5 S3 --> S4 S4 --> S5 S5 --> S7 S6 --> S7 S3 --> S8 S7 --> S9 S8 --> S9 S2 --> S10 S5 --> S10 S8 --> S11 S7 --> S11 ``` ## Stage detail | Stage | Deliverable | Proves | Depends on | | --- | --- | --- | --- | | **1 — Dev environment + CI skeleton** | Dev Containers, GitLab shared templates, multi-arch runner fleet | An engineer builds and tests on day one; ARM64/AMD64 both green | — | | **2 — Registry & artifacts** | GitLab registry live, model weights + schemas as versioned packages | One artifact store, scanning wired in (Trivy, SonarQube) | 1 | | **3 — Single-drone data pipeline** | `sensor-ingest` → writer → `current/` → sealed → DuckDB queries on one node | The storage core: rates sustained, compression measured, quotas enforced | 1 | | **4 — Serving layer** | Event hook + query API + on-board MinIO | Event-driven consumption; nothing polls | 3 | | **5 — Virtual swarm** | Simulator, N drones via Compose, seeded scenarios, CI regression gate | Everything after this ships with a test bench | 2, 4 | | **6 — Mesh & security** | WireGuard overlay, offline CA, provisioning flow, mTLS | Zero-trust fabric exists before any real sync traffic | 1 | | **7 — Swarm sync** | Pose broadcast + detections pub/sub + bulk replication over the mesh | Staleness budgets met under simulated loss/partitions | 5, 6 | | **8 — Ground warehouse** | Dock offload (mirror + audit), T3 store, replay queries | A full flight round-trips: fly (simulated) → offload → replay | 3 | | **9 — Observability** | Platform metrics as sensor stream; ground Prometheus/Grafana/Loki; post-mortem dashboards | Every health question from [07](07-observability.md) answerable | 7, 8 | | **10 — Fleet releases** | Release manifest, registry mirror, dock delivery, atomic rollback drill | The whole fleet moves as one version, rollback rehearsed | 2, 5 | | **11 — Query standard** | GraphQL contract over versioned schemas; documentation for other teams | The multi-team integration surface | 7, 8 | ## Sequencing rationale - **Stages 1–2 before everything:** unglamorous, but every later stage is only as fast as its build/test loop. - **Stage 3 is the heart** — and it needs no network, no security, no swarm: a single machine and real (or simulated) sensor rates. Risk is retired early where iteration is cheapest. - **Stage 5 before sync (7):** building a distributed protocol without a reproducible multi-node bench means debugging it in the field. The virtual swarm makes stage 7 a CI problem instead. - **Stage 6 in parallel:** the trust fabric has no dependency on the data path and can mature alongside it. - **Stages 8–11 stack on a proven core** — by then, every layer under them is regression-tested.