DevOps services in India

DevOps that makes releases boring.

CI/CD pipelines, infrastructure as code, Kubernetes and monitoring, set up by engineers who also run production around the clock. For product and platform teams in India and abroad that want to ship more often without the late nights: we review how you build, test and release today, then automate the slowest and riskiest steps first.

Who it’s for, and what to expect.

For product and platform teams that want to release more often without the late nights, whether you are setting up your first pipeline or fixing one that grew by accident. We are based in Gurugram and work with teams across India and abroad, and our engineers also run production systems around the clock.

We start with a review of how you build, test and release today, which takes about a week or two. You then get a fixed estimate for the set-up work, and we automate the slowest and riskiest steps first, usually a reliable pipeline and basic alerting. After that we can hand everything over to your team, or run it with you for a monthly fee, with 24×7 support if you want us watching too, and Effred SIM, our AI monitoring product, can put autonomous agents on production as well. Our guide to DevOps for growing companies sets out where to start.

What's included

Pick the parts you need, and add more once the first one is working.

01

CI/CD pipelines

Build, test and deploy on every merge with GitHub Actions or GitLab CI — and a rollback that takes one step.

02

Infrastructure as code

Terraform and Ansible for repeatable environments. No more servers nobody can rebuild.

03

Kubernetes & containers

Helm charts, GitOps with Argo CD, autoscaling and cluster upgrades that do not wake anyone.

04

Monitoring & observability

Grafana dashboards, Prometheus metrics and alerts that reach the right person with the right context.

05

SRE & DevSecOps

SLOs, incident runbooks, secrets in Vault and security scans built into the pipeline.

06

Cloud cost optimisation

Right-sizing, autoscaling and clearing idle resources across AWS, Azure and Google Cloud.

How we work

Week 1–2

Discover

A short paid discovery: goals, constraints, a written plan and estimate.

Week 2–4

Design

Architecture, UX and a clickable prototype you can react to.

Sprints

Build

Two-week sprints, with a demo at the end of each one.

Ongoing

Run

Launch, monitor and hand over — or we keep running it 24×7.

Engineering standards

What you can hold us to on every engagement.

Tech stack

AWS, Azure, Google Cloud · Kubernetes, Helm, Argo CD · Terraform, Ansible · GitHub Actions, GitLab CI · Prometheus, Grafana, OpenTelemetry · HashiCorp Vault

  • Review first, then a fixed estimateHow you build, test and release, reviewed in about a week or two; then a fixed estimate for the set-up work.
  • Pipelines as codeBuild, test and deploy on every merge with GitHub Actions or GitLab CI, with reviewed pull requests and a one-step rollback.
  • Infrastructure as codeTerraform and Ansible for repeatable environments; Kubernetes with Helm charts and GitOps through Argo CD.
  • Observability built inPrometheus metrics, Grafana dashboards and OpenTelemetry-compatible signals, with alerts that reach on-call with context, ready for Effred SIM to act on.
  • Security in the pipelineSecrets in Vault, security scans built into the pipeline, SLOs and incident runbooks.

Questions about DevOps

Yes. Effred SIM, our AI monitoring product, puts autonomous AI agents on your production applications: they monitor, troubleshoot, find the root cause, patch and resolve issues within the policies and change windows you set, with a 100 ms average and 0.5 s maximum response time. Effred SIM: AI monitoring.

Let's talk about DevOps.

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