Flagship Blueprint

Multi-tenant Reliability + Automation Platform

This is the next “big system” that most clearly signals $300k+ cloud/platform capability: multi-tenant SaaS architecture, async processing, SLOs, guardrails, and automation. It’s intentionally designed so every claim produces receipts (dashboards, alarms, IaC diffs, postmortems, load tests).

Multi-tenant RBACEvent ingestion APIQueues + workersSLOs + alertsFinOps budgetsSecurity receipts
Security posture in this repo Ops & reliability in this repo

What it does (product surface)

  • Ingests events (CI runs, test results, deploys, incidents) via API + signed webhooks.
  • Normalizes/validates events into a contract-first schema.
  • Computes org-level KPIs, SLOs, error budgets, and trendlines.
  • Triggers alerts and creates an incident timeline (MTTA/MTTR).

Core architecture

Clients / CI / Webhooks
  └─► API Gateway
       └─► Ingestion Service
             ├─ validate + sign + persist
             └─ publish event → Queue

Workers
  └─► consume events
       ├─ enrich (repo metadata)
       ├─ compute KPIs/SLOs
       └─ write projections → Postgres

UI (Next.js)
  └─► dashboards + audit logs + incidents
Alerts
  └─► Slack/Email + on-call simulation

Security (minimum bar for staff-level credibility)

  • Org/user RBAC + audit log + immutable event store
  • WAF + rate limiting + request signing + replay protection
  • Least-privilege IAM roles for workers and deploys
  • Secrets management + OIDC for CI (no long-lived keys)

Reliability + cost signals

  • SLOs for API availability/latency + event processing freshness
  • Backpressure via queue depth alarms
  • Load tests (k6) proving scaling behavior
  • Budgets + cost anomaly playbook + guardrails

Milestones (what I’d build in 30/60/90)

0–30 days
  • Auth + RBAC + org model
  • Event ingestion API + schema validation
  • Queue + worker skeleton + dashboards v1
31–60 days
  • SLOs + alerts + synthetic monitors
  • Audit log + incident timeline
  • Terraform environments + promotion gates
61–90 days
  • Load tests + scaling evidence
  • Cost dashboard + budget guardrails
  • Chaos/incident drills + postmortems