Stop Deploying Manually. Your CI/CD Pipeline Should Do It For You.
We build automated pipelines that build, test, and deploy your code without human intervention — with proper gates, notifications, and rollback so you can ship with confidence.
Complete CI/CD Pipeline Services
From the first commit to a production deploy with auto-rollback — we wire together every stage of your delivery pipeline so your team ships faster and safer.
GitHub Actions Workflows
YAML workflows for build, test, lint, and deploy — with proper job dependencies, matrix builds for multi-environment testing, reusable workflows for shared steps, and secrets managed via GitHub Environments.
GitLab CI/CD Setup
GitLab pipelines with stages, rules, and includes. Merge request pipelines, protected branch deployments with approval gates, GitLab Environments for tracking what is deployed where.
Jenkins Pipeline Configuration
Jenkinsfiles (declarative, not scripted) with proper agent labelling, shared libraries for common stages, and Blue Ocean for pipeline visualisation. We do not give you a Jenkins that only the person who set it up can operate.
Automated Testing Integration
Unit tests, integration tests, E2E tests, and security scans gated in the pipeline. Test results published as pipeline artefacts. Coverage thresholds enforced — a build cannot pass with less than X% coverage.
Multi-Environment Deployments
Feature branch → development → staging → production with promotion approval gates. Each environment gets its own secrets, config, and deployment target. No one deploys to production by hand.
Container Build & Push
Docker image builds in CI with layer caching for fast builds, image scanning (Trivy) as a pipeline gate, and push to ECR, Docker Hub, or GitHub Container Registry with semantic version tagging.
Slack/Teams Notifications
Pipeline notifications that tell you what was deployed, by whom, from which commit, to which environment — with a link to the diff. Not just "build failed" with no context.
Rollback & Release Management
Blue-green and canary deployments with automatic rollback on failed health checks. Git tag-based releases. The ability to rollback to any previous version in under 5 minutes — tested before go-live.
From Zero to Production-Ready
Repository & Branch Strategy Review
We review your current branching model (or lack thereof), identify what needs to be tested, and define the deployment targets and promotion flow before touching any pipeline configuration.
Pipeline Architecture Design
Pipeline stages mapped out: what runs on every commit, what runs on PR, what runs on merge to main, and what requires a manual approval. Tool selection finalised based on your existing setup.
Build & Test Automation
Build steps written, test suites integrated, lint and type-check added as fast early gates, and image scanning added before any push to registry. The pipeline catches bugs — not your users.
Deployment & Rollback Setup
Deployment steps to each environment, health check validation post-deploy, automatic rollback on failed checks, and Slack/Teams notification configured. Pipeline documentation written for your team.
Why Businesses Trust Us with Their Pipelines
Pipelines that actually catch bugs
We wire up lint, type-check, unit tests, and integration tests as fast-fail gates early in the pipeline. A developer knows their build failed in 90 seconds, not after a 20-minute deploy to staging.
Blue-green and canary where uptime matters
For services where you cannot afford downtime, we implement blue-green or canary deployments with traffic shifting and automatic rollback. Not every service needs this — we recommend it only where it matters.
Environment promotion with approval gates
Feature branch deploys to dev automatically. Staging promotion requires a passing test suite. Production requires a manual approval by a named reviewer. The path to production is controlled, not accidental.
Notifications that include context
Slack messages that say "Deployed api-service v2.4.1 (commit a3f8c2d by Jane) to production — 3 new endpoints, 0 breaking changes" are useful. "Build failed" is not. We write the notification templates properly.
Secret management done right
No secrets in .env.example, no hardcoded API keys in workflow files. Secrets in GitHub Environments, GitLab CI variables (protected), or a secrets manager like HashiCorp Vault or AWS Secrets Manager — accessed at runtime.
Monorepo support
We have handled Turborepo and Nx monorepo setups where you only want to build and deploy the packages that actually changed. Path-based filtering in CI so a change to the marketing site does not trigger a backend deploy.
Set Up CI/CD and Stop Deploying by Hand
Tell us what you are building and how you deploy today — we will scope a pipeline that automates the whole thing and fits your stack exactly.
Didn't Find What You Were Looking For?
We're here to help you get the answers you need, quickly and clearly.
GitHub Actions is the right choice for most teams today — it is hosted (no Jenkins server to maintain), the YAML syntax is straightforward, and the marketplace of community actions covers most needs. Jenkins is worth considering when: you have very long-running builds that would be expensive on GitHub Actions minutes, you have complex custom tooling requirements, or you already have a mature Jenkins setup. We prefer GitHub Actions for new projects and Jenkins migrations when the existing Jenkins setup cannot be replaced practically.
A CI/CD pipeline for a single application (GitHub Actions, build + test + deploy to one environment) typically runs ₹40,000–70,000. A multi-environment setup with staging, production, approval gates, notifications, and rollback automation: ₹80,000–1,50,000. Monorepo setups or complex multi-service deployments are scoped case by case. GitHub Actions itself is free for public repos and has a generous free tier for private repos.
The practical answer for most teams: unit tests as the first gate (fast, run on every commit), integration tests against a real database and dependencies before merging to main, and E2E tests (Playwright or Cypress) on the staging environment after deploy but before promoting to production. Security scanning (SAST, dependency vulnerabilities) runs in the background. We scope the test automation work separately from the pipeline work.
Yes — this is the most common setup we implement. The pipeline builds the Docker image, scans it for vulnerabilities, pushes it to a registry, and then updates the Kubernetes deployment (via kubectl, Helm upgrade, or ArgoCD image updater). For K8s with GitOps, the pipeline updates the image tag in the git repository and ArgoCD or Flux picks up the change automatically.
A basic pipeline for an existing application (build, test, deploy to one environment): 3–5 days. A full multi-environment pipeline with approval gates, notifications, rollback, and secrets management: 1–2 weeks. More complex setups (monorepo, multiple services, custom deployment targets) are scoped after we review the codebase.
For most teams, trunk-based development with short-lived feature branches (< 2 days) merged to main via PR is the most effective model. It keeps merge conflicts small, enables continuous integration (in the actual sense), and maps cleanly to CI/CD promotion flows. GitFlow has its place for projects with infrequent, batched releases — but for continuous delivery, it creates unnecessary complexity. We will recommend the right model for your release cadence.
Still have questions? Contact us directly →
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