Automated CI/CD pipelines — lint, test, build, scan, and deploy. Every push validated in minutes. Every merge ships to production without manual steps or deploy anxiety.
<5 min
Full CI run
Lint → test → build → scan
0
Manual deploy steps
Merge triggers deploy
30s
Rollback time
Blue-green DNS switch
6+
Platforms supported
GH Actions, GitLab, Jenkins
Pipeline Anatomy
Every stage has a defined purpose and a defined maximum time budget.
STEP 01
Developer pushes code or opens a pull request. Pipeline starts immediately — no manual trigger needed.
STEP 02
ESLint, Prettier, TypeScript — fast feedback before any expensive steps run. Fails in under a minute.
STEP 03
Parallelized test suite. Caching enabled. Engineers know about failures before getting coffee.
STEP 04
Docker image built with layer caching. Identical image used in staging and production — no drift.
STEP 05
Container CVE scan, dependency audit, and SAST (CodeQL). Caught in CI, not in production.
STEP 06
Automatic deployment on merge to main. Staging environment mirrors production exactly.
STEP 07
API tests against staging database. Critical-path E2E tests. Smoke tests verify the deploy.
STEP 08
Blue-green or rolling deployment with health check verification. Rollback in 30 seconds.
What You Get
Fast feedback, security coverage, zero-downtime deploys, environment parity — all standard.
Linting and type checks complete in 60 seconds. Unit tests in under 2 minutes. Developers know about failures before getting coffee.
Dependency CVE scanning (Trivy, Dependabot), SAST (CodeQL), and secret detection — caught in CI, not after a breach.
Blue-green or rolling deployments with health check verification before traffic cutover. Rollback in 30 seconds if checks fail.
Dev, staging, and production use identical Docker images. The "works on my machine" problem eliminated by design.
The most common CI/CD failures are not technical — they're process and architecture failures. Here's how we solve each one.
When CI takes 30 minutes, engineers stop watching it. They merge anyway, the pipeline catches a bug, and now production is blocked. The fix: fast CI is not a nice-to-have — it's what determines whether your team actually uses the feedback loop you built.
Our approach
Aggressive parallelization, dependency caching, and test splitting. Lint + type check under 60s. Unit tests under 2 minutes. Full pipeline including security scan under 5 minutes. Engineers wait, not wonder.
Typical engagement: 3–4 weeks. You ship from day one while we build the full pipeline around you.
Review your current deployment process — what's manual, what's slow, what causes incidents. Map the ideal pipeline and identify the quickest wins.
CI pipeline for PR validation — lint, test, build, security scan. Every PR gets full automated checks before it can be merged.
Staging deployment on merge to main. Production deployment on tag/release or manual approval gate. Rollback procedure tested and documented.
Deploy notifications, rollback procedures, and on-call runbooks. Your team knows exactly what to do when something goes wrong — before it goes wrong.
If yours is not here, reach out. We respond within 24 hours with a real answer from an engineer — not a sales pitch.

Lint and type check: under 60 seconds. Unit tests: under 2 minutes. Full build: under 5 minutes. Integration tests: under 10 minutes. If your CI takes 30+ minutes, engineers stop waiting and merge blind. We optimize pipelines aggressively — parallelization, caching, and test splitting.
GitOps means the desired state of your deployments is defined in git, and a controller (ArgoCD, Flux) continuously reconciles the actual cluster state to match. Benefits: audit trail for every change, easy rollback, and no CI needing kubectl access to your cluster. Recommended for Kubernetes environments.
Migration safety is the hardest part of CD. We implement backward-compatible patterns (never remove columns before updating code, never add NOT NULL without a default), test migrations in staging with a production-like data snapshot, and run migrations as a separate step before application rollout.
Yes. We don't need to start fresh. We analyze your existing codebase, identify test frameworks and build tools already in use, and build CI/CD around them. If tests don't exist, we'll add a basic test suite for the most critical paths as part of the engagement.
GitHub Actions is our default when your code already lives on GitHub — no separate server to maintain, huge marketplace of actions, and tight PR integration. GitLab CI is the natural choice for GitLab-hosted teams. Jenkins still wins for complex self-hosted enterprise pipelines or when you need plugins nothing else offers. For Kubernetes deployments we layer ArgoCD or Flux on top for GitOps-style continuous delivery.
A typical engagement is 3-4 weeks: a pipeline audit in week 1, the CI foundation (lint, test, build, security scan on every PR) in weeks 1-2, CD with staging and production deploys in weeks 2-3, then monitoring and rollback runbooks in weeks 3-4. You keep shipping the whole time — we build the pipeline around your existing workflow rather than freezing development.
We quote a fixed fee after a short pipeline audit, based on the number of services, target environments, and deployment complexity. A single-application pipeline with staging and production deploys typically lands in the low-to-mid five figures over a 3-4 week engagement. The return is measurable: deploy frequency goes up, failed-deploy recovery drops to a 30-second rollback, and engineers stop losing hours to manual release steps.
“Ethersofts took over a project two agencies fumbled. They untangled the mess, rebuilt critical parts, and shipped in 6 weeks. The codebase is clean and our users actually like it now.”
Rajan Mehta
CTO · Credflow Technologies · Bangalore, India
Tell us your current deploy process — how long it takes, what breaks, what's manual. We'll design the CI/CD pipeline that eliminates the anxiety.
