Infrastructure & DevOps
Production-grade systems that do not wake you up at 3am.
Cloud architecture, CI/CD pipelines, container orchestration, observability, and high-availability configuration. Every resource in code. Every change rolled through staging first. We have run 103 concurrent services on a single Hetzner server with 99.9% uptime because the process supervision and health check design was right from the start.
99.9%
Uptime across client infrastructure
60%+
Typical cloud cost reduction after right-sizing
< 90s
Production deployment time after CI passes
CAPABILITIES
What we build
01
Cloud and bare-metal architecture
Right-sized infrastructure for your actual load, not a cloud vendor upsell. We have provisioned everything from a $30/mo VPS to a multi-region Hetzner deployment with dedicated database nodes. Terraform or Pulumi so every resource is reproducible and version-controlled.
02
CI/CD pipelines
GitHub Actions workflows that run type checks, tests, and build validation before any artifact reaches production. Blue-green or canary deploys with automatic rollback on health check failure. Deploy to production by merging a PR, not by SSHing into a box.
03
Container orchestration
Docker Compose for single-host deployments, Kubernetes for multi-node workloads that need horizontal pod autoscaling. We have operated 23 Rust binaries under PM2 and systemd supervision with automatic restart, log rotation, and memory limits configured per service.
04
Observability and alerting
Prometheus metrics, Grafana dashboards, and structured log aggregation. Alerts are tuned to reduce noise: p95 latency spikes, not individual slow requests. Error rate above a rolling baseline, not a static threshold that fires at midnight on a quiet Sunday.
PROCESS
How we deliver
Every engagement follows the same three phases. No surprises, no scope creep.
Latency Audit + Capacity Model
We benchmark your current stack under realistic load and build a capacity model. Bottlenecks are ranked by impact before any new infrastructure is provisioned.
IaC Design + Staged Rollout
Every resource is codified in Terraform or Pulumi. Changes roll through dev, staging, and canary environments with automated rollback gates at each stage.
Production Cutover + SRE Handoff
Zero-downtime cutover with full observability stack in place. Runbook, alerting thresholds, and on-call escalation paths handed off to your team.
BLAST RADIUS
When this service breaks, blast radius is
We document failure modes before go-live. Every critical service has a known blast radius, an expected recovery time, and a runbook entry. Nothing fails in a way the on-call engineer has not seen before.
| Service | Failure mode | Blast radius | Recovery |
|---|---|---|---|
| ClickHouse primary | Disk pressure or OOM kill | Writes buffer to Redis. Reads degrade to last cached value. | Under 60s with automated restart, replay from buffer. |
| Redis | Process crash | Streams pause. WebSocket subscribers reconnect. | Under 5s. AOF replay restores last 1s of state. |
| Postgres primary | Network partition | Reads fail over to hot replica. Writes block. | Under 30s for read failover. Manual promote for writes. |
| Nginx | Config error | Traffic stops at edge. Backends idle. | Under 10s. Automated config validation blocks bad rollouts. |
| Rust ingest worker | Panic on malformed input | One feed pauses. Other 10 feeds continue. | Under 5s. PM2 restart. Bad row goes to dead-letter. |
TECHNOLOGY
Tech stack
METRICS
By the numbers
99.9%
Deployed uptime SLA
5 to 10x
Compression vs raw storage
100%
IaC committed to your repo
< 2 wks
Full stack provisioned
APPLICATIONS
Where this applies
- 01Migration from Heroku to dedicated infrastructure. Moved a 4-service application off Heroku dynos to a Hetzner bare-metal box with Docker Compose, Nginx reverse proxy, and Let's Encrypt TLS. Monthly infrastructure cost dropped from $480 to $60. Deployment time dropped from 8 minutes to 90 seconds.
- 02CI/CD for a growing engineering team. Built a GitHub Actions pipeline with parallel test suites, staging environment deploy, and production promotion gate. Engineers went from fear of Friday deploys to 3 to 4 deploys per day.
- 03High-availability architecture for a financial data platform. Deployed ClickHouse on a dedicated node with hourly backups to object storage, Redis with persistence enabled, and process-level health checks that restart services within 5 seconds of failure.
- 04Cloud cost right-sizing. Audited a $6,200/mo AWS bill. Reserved instances for predictable workloads, Fargate Spot for batch jobs, and S3 lifecycle policies for log archives. Settled at $1,900/mo with the same performance SLA.
GET STARTED
Ready to build?
Most projects ship in 2 to 4 weeks. Fixed price. Full IP transfer.