Manish S Consulting logoManish S Consulting

DevOps consulting — CI/CD pipelines, Kubernetes, and observability

Ship on every merge, not every Friday

Replace the manual release ritual with a pipeline that builds, tests, and deploys on merge — with monitoring that tells you something is wrong before a customer does.

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The problem

Most teams do not have a deployment problem, they have a confidence problem. The pipeline works, but only one person fully understands it and only when nothing unusual happens. That uncertainty slows everything else down: releases get batched, batches get large, large releases get risky, and risky releases get postponed. The delay is not the deploy — it is the meeting about whether to deploy.

What's included

CI/CD pipeline builds

End-to-end pipelines in GitHub Actions, GitLab CI, or Jenkins, covering build, test, security scan, and staged deployment with approval gates where you want them.

Containers and orchestration

Docker builds that produce identical artefacts locally and on CI, and Kubernetes or ECS where the scale genuinely calls for it.

Monitoring and alerting

Metrics, structured logging, and dashboards reflecting user-visible health — with alerts tied to symptoms a customer would notice, routed to someone who can act.

Release safety

Health checks, automated rollback, and a runbook for the failure modes your system actually has. Fast deploys without a rollback path just break production faster.

Delivery health check

A fixed-price week reviewing your pipeline, infrastructure, and observability, producing findings ranked by effort against impact.

How we approach it

  1. 01

    Map what actually happens

    Shadow a real release and record every step, including the undocumented ones. Some invariably turn out to be workarounds for problems already fixed.

  2. 02

    Make the build reproducible

    Containerise so CI and a developer laptop produce the same artefact, removing a whole category of bug before pipeline work starts.

  3. 03

    Build it in stages

    Build and test, then automated deployment to a non-production environment, then production behind whatever gate your risk appetite requires.

  4. 04

    Add the safety net before the speed

    Health checks, automated rollback, and alerting that reaches a human before it reaches a customer.

  5. 05

    Hand it over properly

    Documentation your team can act on and a live walkthrough, not a wiki page that goes stale in a month.

Our position

"If your deploy needs a checklist, it is not automated. It is documented."

A runbook is a description of work a computer should be doing. Every manual step in a release is a step that gets skipped at 6pm on a Friday by someone who has done it forty times and is sure they remember it.

Free discovery call

Got a problem that keeps sliding to next sprint?

A free 30-minute call. Tell us what you're working on and we'll outline the best approach, a realistic timeline and an estimated budget.

Start a conversation Replies within 24 hours on weekdays