CI/CD Implementation

Ship faster. Break less. Sleep more.

Your deployment process should not require a war room, a 47-page runbook, or a weekend. We design CI/CD pipelines and GitOps workflows that turn releases from events into non-events — automated, auditable, and reversible in seconds.

Talk to an engineer See the 4h-to-12min story

Deploy frequency increase

63%

Faster build times

99.9%

Pipeline uptime

50%

Less rollback time

Pipeline Architecture

From commit to production in under 15 minutes

Every pipeline we build follows this architecture. Each stage is automated, observable, and independently recoverable. No manual gates. No mystery scripts.

01 Code

Commit & Push

Feature branches merged via PR. Linting, formatting, and commit signing enforced before merge.

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02 Build

Containerize & Cache

Multi-stage Docker builds with layer caching. Artifacts stored in immutable registries with SBOMs attached.

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03 Test

Validate & Scan

Unit, integration, and security scans run in parallel. SAST, DAST, and dependency checks gate every build.

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04 Stage

Preview & Verify

Ephemeral environments spun up per PR. Smoke tests, load tests, and manual QA on isolated infrastructure.

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05 Prod

Deploy & Monitor

Canary or blue-green rollout with automated health checks. Instant rollback if error budgets are breached.

Average pipeline execution: 7-12 minutes from push to production — including full test suite and security scans.

GitOps

Git is the control plane. Everything else follows.

GitOps eliminates configuration drift, manual deployments, and the question "what's running in production?" Your Git repository becomes the single source of truth for every environment.

Declarative Configuration

Every environment described in Git. Kubernetes manifests, Helm charts, and Kustomize overlays version-controlled and peer-reviewed. No more SSH-and-pray deployments.

Automated Reconciliation

ArgoCD or Flux continuously compares your cluster state against the Git source of truth. Drift is detected in seconds and corrected automatically, or flagged for human review.

Multi-Cluster Sync

Promote changes across dev, staging, and production with Git PRs. ApplicationSets or Flux Kustomizations manage hundreds of clusters from a single repository.

Audit Trail Built In

Every deployment is a Git commit. Who changed what, when, and why is permanently recorded. Compliance teams get verifiable audit logs without extra tooling.

How the GitOps loop works

Developer merges PR

CI builds and pushes image

ArgoCD/Flux detects drift

Cluster reconciles to desired state

Automation ROI

Manual releases are the most expensive thing you ship

Every manual deployment costs engineering hours, cognitive load, and incident risk. Here is what changes when the pipeline handles it.

Process	Manual	Automated	Impact
Deploy to production	4-6 hours (coordinated release)	12 minutes (push-to-deploy)	95% faster
Rollback a bad release	45-90 minutes (manual steps)	Under 2 minutes (git revert)	97% faster
Environment provisioning	2-3 days (ticket + manual setup)	8 minutes (self-service)	99% faster
Security scan per build	Skipped or weekly batch	Every commit, gated	100% coverage
Engineer hours on releases	16 hours/week across team	Under 2 hours/week	$140K/year saved
Failed deployment recovery	War room, 3-5 engineers	Automated canary abort	Zero war rooms

720+

Engineer hours recovered per year

$140K

Annual cost savings (avg)

6 months

Typical payback period

Case Study

Enterprise SaaS reduced deployment time from 4 hours to 12 minutes with GitOps

The Challenge

A 200-engineer SaaS company was shipping once a week. Every release required a 4-hour coordinated window with 6 engineers on call. Failed deployments triggered multi-hour war rooms. The deployment process was documented in a 47-page runbook that only three people understood.

Our Approach

We implemented ArgoCD-based GitOps across their 14 Kubernetes clusters. Built a promotion pipeline: feature branch generates ephemeral environment, PR merge deploys to staging, tagged release promotes to production via canary rollout. Integrated OPA Gatekeeper for policy enforcement and Prometheus-based canary analysis for automated rollback decisions.

Results

4h → 12min

Deployment time

1x/week → 8x/day

Release frequency

Zero

Failed prod deploys in 6 months

$310K

Annual engineering time recovered

FAQ

Frequently asked questions

We work with GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps, AWS CodePipeline, Tekton, and Drone. For GitOps, we implement ArgoCD, Flux, or both depending on your requirements. We recommend based on your existing infrastructure and team skillset, not vendor preference.

A typical engagement runs 6-10 weeks. The first 1-2 weeks cover assessment and architecture design. Weeks 3-8 cover implementation: pipeline builds, GitOps configuration, testing automation, and environment provisioning. Weeks 9-10 handle training, documentation, and operational handoff. Quick wins like build caching and parallel test execution are delivered within the first two weeks.

Yes. We've migrated dozens of organizations off Jenkins. We run both systems in parallel during the transition — new pipelines go to the target platform, existing pipelines stay on Jenkins until migrated. Zero downtime, zero lost builds. Most migrations complete within 4-6 weeks depending on pipeline count and complexity.

That's our most common engagement. We audit your existing pipelines for bottlenecks: flaky tests, slow builds, race conditions, poor caching, insufficient parallelism, and under-provisioned runners. Clients with existing CI/CD typically see 40-60% build time reductions and a jump from ~85% to 99%+ pipeline reliability within the first month.

We implement secrets management using HashiCorp Vault, AWS Secrets Manager, or your existing solution — integrated directly into the CI/CD pipeline. Secrets are never stored in Git, never logged in build output, and rotated automatically. We also implement OIDC-based authentication so pipeline runners use short-lived tokens instead of static credentials.

We've built CI/CD platforms that pass SOC 2, HIPAA, PCI-DSS, and FedRAMP audits. Every pipeline includes signed commits, immutable artifacts, SBOM generation, vulnerability scanning, and a full audit trail. Policy-as-code with OPA or Kyverno enforces organizational standards at the pipeline level before code reaches production.

We offer three tiers: advisory (monthly office hours and pipeline reviews), managed (we maintain and evolve your CI/CD platform), or full operations (24/7 monitoring and incident response for your deployment infrastructure). Most clients start with managed and transition to advisory once their team is fully ramped.

Technology Partners

AWS Microsoft Azure Google Cloud Red Hat Sysdig Tigera DigitalOcean Dynatrace Rafay NVIDIA Kubecost

Proof Point

CI/CD that ships faster

DevOps Software Development

Automated delivery pipeline for a software development firm

We redesigned their build, test, and deployment pipeline from scratch — cutting release cycles and eliminating manual deployment bottlenecks across their engineering teams.

Read the full case study →

Insights

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