Containers & Monitoring

    Docker and Kubernetes where they earn their complexity, and observability that tells you what's wrong before your users do.

    When you need this

    • "Works in dev" keeps not working in production.
    • Scaling means SSH-ing into servers at midnight.
    • Incidents get diagnosed by guesswork and grep.

    What we do

    • Containerization with sane images and manifests your team can read.
    • Kubernetes only where scale justifies it, and we'll tell you when it doesn't.
    • Metrics, logs, and traces with Prometheus, Grafana, or your cloud's native stack.
    • Alerting tuned to symptoms your users would feel, not noise.
    • Runbooks: what to actually do when an alert fires at 2 a.m.

    Sound like your situation?

    Tell us where things stand. We'll reply with an honest read on what your software needs. No obligation.

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