Services
A broad bench. We mix and match — most engagements touch two or three of these.
Kubernetes & Infra
We design, build, and care for clusters that don't wake your team at 3am — on your cloud or on bare metal.
What we do
- Cluster architecture (managed or self-hosted: EKS, GKE, AKS, k3s, Talos)
- Networking (CNI, ingress, mesh) and storage that survives node death
- Upgrade strategy, capacity planning, and cost-down passes
What success looks like
- Predictable upgrades with no surprise downtime
- A clear story for "what happens when X fails"
- Infra costs that map to actual usage, not historical accident
Platform Engineering
Internal platforms that engineers actually use because they make the next thing easier, not harder.
What we do
- Service templates (golden paths) covering deploy, telemetry, secrets, healthchecks
- Self-serve developer portals (Backstage or rolled-your-own)
- Platform team operating model and on-call hand-off
What success looks like
- New service from scratch to prod in under a day
- Platform metrics show enablement, not just uptime
- Engineers stop building one-off scripts to work around the platform
CI/CD
Pipelines that get out of the way — fast, deterministic, and boring.
What we do
- Pipeline rewrites: parallel test sharding, smart caching, kill-the-cruft passes
- Promotion model: PR → preview env → main → prod with the right gates
- Test infra (containers, fixtures, ephemeral DBs) that holds up under load
What success looks like
- PR feedback in minutes, not hours
- No-fear deploys, multiple times a day
- CI failures that point at real bugs, not flaky infra
DevSecOps
Security woven into the platform, not bolted onto it after audit.
What we do
- Supply chain: SBOMs, signed images, provenance (SLSA, Sigstore)
- Policy as code (OPA/Kyverno) at admission and CI time
- Secrets management (Vault, sealed-secrets, ExternalSecrets) and rotation
What success looks like
- Audit-ready posture without a fire drill
- Vulns fixed before they ship, not after they're reported
- Engineers can move fast safely
Observability & OpenTelemetry
Signals that explain — not just alarm. We help you correlate logs, metrics, and traces so debugging takes minutes.
What we do
- OpenTelemetry instrumentation across services and runtimes
- Backend choice and config (Tempo/Loki/Mimir, Datadog, Honeycomb, Grafana Cloud)
- SLOs, dashboards, and alerting that actually wake the right person
What success looks like
- Mean-time-to-understand drops sharply
- You can answer "why was that slow" without grepping logs
- Alerts engineers trust enough not to silence
Automation
Toil-killing scripts, controllers, and operators — wherever the repetition lives.
What we do
- Custom Kubernetes operators and controllers (Go, Python, Java)
- Workflow orchestration (Argo Workflows, Temporal, n8n)
- Internal tools that turn 30-minute manual jobs into one-click ops
What success looks like
- Recurring work disappears from your team's plate
- Operations stop being a single-person dependency
- Mistakes from manual repetition stop happening
Software Development
When the right answer is to ship code: backend, infra-adjacent services, agents, integrations.
What we do
- Java, Python, Go, C++ — pragmatic choice based on the problem
- Service design with the operability built in from day one
- Code reviews and pairing that level your team up while we ship
What success looks like
- Code your team can own and extend after we leave
- Test suites that catch real bugs and run fast
- Documentation that survives contact with reality
AI Engineering
LLM-powered systems engineered for production: evals, observability, fallbacks, and cost discipline.
What we do
- Agentic systems and tool-using assistants (Anthropic, OpenAI, local models)
- RAG pipelines with retrieval that actually works on your corpus
- Eval harnesses, observability for LLM calls, cost controls
What success looks like
- AI features that pass real user tests, not just demos
- Latency, cost, and accuracy you can defend to a CFO
- A clear path from prototype to production