Product Engineering
APIs, dashboards, and services with observability, testing, and CI/CD.

Principles

  • User value first: business outcomes over ticket throughput.
  • Small, shippable slices: feature flags, trunk-based dev, fast feedback.
  • Interfaces > Internals: stable APIs, strong contracts, typed schemas.
  • Observability by default: logs, metrics, traces in day one PR.
  • Automate the boring: CI/CD, codegen, scaffolds, tests, lint/format.

APIs

Design: start with an API spec (OpenAPI/AsyncAPI). Keep nouns consistent, verbs predictable, and pagination standard.

  • Versioning: /v1 in path; backwards-compatible additions; use deprecation headers.
  • Contracts: JSON Schema + examples; validation at edge; typed SDKs generated from spec.
  • Resilience: idempotency keys, retries with jitter, timeouts, and circuit breakers.
  • Docs: living reference + task-centric guides; include copy-pasteable cURL and code.

Dashboards & UX

  • Jobs to be done: one main task per view; secondary tasks tucked away.
  • State & errors: explicit loading/empty/error states; optimistic updates where safe.
  • Accessibility: keyboard navigation, ARIA roles, color contrast, RTL support.
  • Perf: code-split, cache queries, avoid N+1 fetches; instrument Web Vitals.

Services & Architecture

Client
→ API Gateway (auth, rate limits)
→ Services (stateless) ↔ Data Stores (managed)
→ Async Workers / Queues (idempotent)
→ Observability Stack (logs/metrics/traces)
  • Choose scope: modular monolith → microservices only when necessary.
  • Data: pick the simplest store that works; single writer per entity; migrations in code.
  • Asynchronicity: queues for slow/fragile work; design for at-least-once.

Observability

  • Logs: structured (JSON), request IDs, PII scrubbing, sampling.
  • Metrics: RED (rate, errors, duration) for services; USE for infra; SLOs with error budgets.
  • Traces: propagate traceparent; instrument hot paths; tag user/org/feature flags.
  • Dashboards & alerts: symptom-based, low-noise; paging for SLO burn, not every 500.

Testing Strategy

  • Pyramid: fast unit tests → focused integration → a few e2e happy paths.
  • Contracts: consumer-driven tests for APIs; schema checks in CI.
  • Fixtures: deterministic seeds; ephemeral envs for PRs; test containers for deps.
  • Non-func: load tests for P95/P99; security scans; migration dry-runs.

CI/CD

  • CI: lint/format → unit → integration (containers) → security checks → artifact build.
  • CD: blue/green or canary; automated migrations; instant rollback and feature flags.
  • Policy: required reviews, status checks, conventional commits, signed images.
  • Speed: cache deps, parallelize jobs, fail fast; target <10 min CI wall time.

Security & Compliance

  • AuthN/Z: OAuth/OIDC, least privilege, per-tenant scoping; service-to-service with mTLS.
  • Secrets: never in env files or code; use a secrets manager; short-lived tokens.
  • Data: encryption in transit/at rest; audit trails; data retention and deletion jobs.
  • Supply chain: SBOMs, image signing, dep-update bots, SAST/DAST in CI.

Performance & Scalability

  • Budgets: SLO P50/P95, cold-start targets, memory/CPU caps.
  • Caching: request-level, computed results, and read-through; bust with care.
  • Backpressure: queues, bulkheads, rate-limits, adaptive concurrency.
  • Cost: per-request cost and per-tenant cost tracked in metrics.

Release & On-call

  • Runbooks: link from alerts; include quick triage, dashboards, and rollback steps.
  • Incident lifecycle: severity levels, comms templates, postmortems with actions.
  • Change management: weekly release notes; feature flag kill switches.

Sane Defaults (copy/paste)

APIs: OpenAPI, JSON Schema, idempotency keys, retries, timeouts
Dashboards: optimistic UI; error/loading/empty states
Services: stateless; queues for long tasks; one writer per entity
Observability: logs(JSON) + RED + traces; SLOs + burn alerts
Testing: unit > integration > e2e; contract tests; test containers
CI/CD: <10m CI; canary deploys; instant rollback; feature flags
Security: OIDC; mTLS between services; secrets manager
Perf: P95 budgeted; caching; backpressure; per-tenant cost

30-60-90 Roadmap

  1. 30d: scaffold service template (spec, tracing, health), CI linters/tests, staging env.
  2. 60d: contract tests, canary deploy, basic SLOs + dashboards, incident runbooks.
  3. 90d: load tests in CI, error budget policy, cost dashboards, automated dep updates.