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Groundwork

Zero. Downtime.

Production-ready from day one. Kamal deploys, zero-downtime releases, background jobs, caching, and monitoring configured for the long run — not bolted on after the first outage.

Kamal CI/CD Zero-downtime Deploys Observability

Your app should be boring in production. No heroics, no surprises, no 2am pages about a missed deploy.

Kamal Deployment
Docker containers deployed via Kamal to any VPS or bare-metal server. No Kubernetes, no platform fees, no DevOps consultant. You own the infra, we configure it to production standard.
Docker Any VPS Health checks
CI/CD Pipelines
GitHub Actions that run tests, security checks, and lint on every push. Merge to main and the deploy kicks off automatically. No manual steps, no "works on my machine" deploys reaching production.
GitHub Actions Auto-deploy on merge Test gates
Zero-downtime Releases
Rolling container swaps with health checks before traffic is routed. Database migrations that run before the new code ships. Your users never see a maintenance page or a 503 during deploys.
Rolling deploy Safe migrations Instant rollback
Background Jobs
Sidekiq or Solid Queue configured for production: concurrency tuned, retry policies set, dead letter queues wired to alerts. Jobs that fail don't vanish. You know, and they retry correctly.
Sidekiq / Solid Queue Retry policies Dead letter alerts
Caching Layer
Redis or Solid Cache configured with sensible TTLs, fragment caching for expensive partials, and query caching where it counts. Response time goes down. Database load goes down. Costs go down.
Redis / Solid Cache Fragment caching Query caching
Monitoring & Alerting
Uptime checks, error tracking via Sentry or Honeybadger, performance dashboards, and Slack/email alerts for anything that needs your attention. You know before your users do.
Uptime monitoring Error tracking Slack / email alerts

Tools chosen for operability, not trend. You should be able to SSH in and understand what's happening.

  • Kamal
    $ kamal deploy
    INFO Acquiring the deploy lock
    Container deploys to any VPS. Rolling health checks before traffic swaps. Instant rollback with one command. No Kubernetes, no platform lock-in.
  • GitHub Actions
    CI PIPELINE ● running
    ✓Checkout & bundle install8s
    ✓RuboCop lint4s
    ●RSpec test suite—
    ○Security audit (Brakeman)—
    ○kamal deploy --skip-push—
    Merge to main, the deploy happens. Every step is a gate — a failing test blocks the deploy. No surprises reach production.
  • Redis / Solid Cache
    CACHE STATS
    Hit rate
    78%
    Avg resp.
    42ms
    DB load
    22%
    Keys: 4,812  ·  Memory: 124 MB
    Fragment caching, query caching, session store. Properly tuned TTLs so you're not serving stale data or hammering the database.
  • Sidekiq / Solid Queue
    JOB QUEUES ● healthy
    critical
    2
    default
    14
    mailers
    7
    3,412 processed  ·  0 failed  ·  4 workers
    Queue depth per queue, processed count, zero failed. Retry policies tuned. Anything that hits the dead letter queue sends a Slack alert.
  • Monitoring
    SYSTEM HEALTH
    https://app.example.com200 OK
    DB connections8 / 100
    Sidekiq heartbeatalive
    SSL certificate84d left
    Uptime: 99.97%  ·  Response: 38ms
    Uptime checks every minute, error tracking, SSL expiry alerts. The dashboard you check when something feels wrong — and the alert that fires before it does.
01
⚠SSH deploy (manual)
⚠No health checks
✗Cron on local machine
✓Tests pass locally
Audit

We review the current setup: how deploys happen, what monitoring exists, what's running on someone's laptop. Most of the risk is in the gaps nobody has written down yet.

02
deploy.yml
→
.github/ci.yml
→
monitor.yml
Harden

Kamal config, CI pipeline, SSL, firewall rules, backup schedule, error tracking, uptime monitors. Each one tested, each one committed to the repo and reproducible from scratch.

03
app-01old
app-02new
app-03old
Deploy

Rolling deploy: containers swap one at a time, each one health-checked before the next starts. Traffic never routes to a container that hasn't passed its checks. Zero downtime, verifiable.

04
p50
38ms
p99
190ms
errors
0
Watch

Response time trends, error rate, queue depth, memory usage — reviewed weekly for the first month, then handed over to you with a runbook. You know what healthy looks like.

Still SSHing to deploy?

Tell us how your app gets to production today. We'll show you what production-grade looks like and scope a path to get there.

[email protected] ↗