DevOps & CI/CD Automation
Part of Software Development ←
A deployment process your whole team can run — not a set of manual steps only one person remembers correctly.
A surprising number of teams still deploy by hand, following a mental checklist that lives in one engineer's head. It works fine until that person is on leave, leaves the company, or is simply asleep during an incident. Then a routine deploy turns into a multi-hour delay, or worse, someone else attempts it, skips a step nobody documented, and takes production down. The bus-factor risk is obvious in hindsight, but it's rarely fixed until it causes real damage.
We build deployment pipelines that don't depend on any one person's memory. That means CI/CD automation where pushing to the right branch triggers tests, builds, and deployment without manual intervention. It means infrastructure defined as code, so environments can be recreated from a repository, not from someone's recollection of what they clicked in a console two years ago. It means anyone on the team, not just the person who set it up, can run a deploy and understand what happened if it fails.
What's Included
CI/CD pipeline
Automated build, test, and deployment pipeline triggered by code changes, configured for your branching strategy and environments (staging, production, etc.).
Infrastructure as code
Your cloud infrastructure defined in Terraform or equivalent tooling, version-controlled and reproducible, instead of manually configured resources nobody has a full record of.
Monitoring and alerting setup
Application and infrastructure monitoring with alerts routed to the right people, so incidents get noticed and triaged before customers report them.
Deployment runbook
Written documentation covering the deployment process, rollback procedure, and common failure scenarios, so a deploy doesn't depend on one person being available.
Our Approach
Automate the deployment path first.
We start by removing manual steps from the path to production — automated tests, automated builds, automated deploys — so releases become routine instead of risky events.
Define infrastructure as code, not console clicks.
Infrastructure gets defined in version-controlled configuration, so environments can be rebuilt from the repository and changes go through the same review process as application code.
Document the rollback path, not just the happy path.
Every pipeline we build includes a documented, tested way to roll back, because the deploy process is only as trustworthy as its recovery process.
Frequently Asked Questions
GitHub Actions and GitLab CI most commonly, with Terraform for infrastructure as code and Docker/Kubernetes for containerized deployments. We build on AWS most often, but adapt to your existing cloud provider rather than forcing a migration you didn't ask for.
Yes, and this is one of our most common DevOps engagements. We start by mapping your current manual process end to end — including the undocumented steps — before automating it, so nothing gets silently dropped in the transition.
A focused CI/CD pipeline setup for an existing application typically runs ₹3-7 lakh over 4-6 weeks. A fuller engagement covering infrastructure as code, monitoring, and multi-environment pipelines runs ₹8-18 lakh over 8-12 weeks. Ongoing infrastructure support after setup can be handled under a monthly retainer.
Both. We can hand off a fully documented pipeline and infrastructure for your team to run independently, or continue under a support arrangement covering monitoring, scaling adjustments, and pipeline maintenance as your application evolves. We'll recommend based on whether your team already has the in-house capacity to own it.
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