Execution Flow
Source
Build
Test
Staging
Prod
Build
Actions
Background
The client ran a software product team that shipped quarterly. Every release was a multi-week event: manual environment setup, handoffs between QA and ops, build artifacts scattered across shared drives, and rollbacks that required pulling everyone into a war room. Developers had stopped expecting to ship fast—the release process had become a tax on every feature.
We were brought in to redesign the delivery pipeline from the ground up. The goal wasn't just faster releases—it was a repeatable, auditable system that made deployment boring. We built it on Jenkins for build automation, Artifactory for artifact governance, Spinnaker for deployment orchestration, and Kubernetes for the runtime. Twelve weeks later, the team was shipping to production daily.
The Challenges
- •Quarterly release cycles meant bug fixes took months to reach users—and every delay compounded customer frustration
- •Manual build, test, and packaging steps introduced inconsistency: builds that passed on one machine failed on another
- •No central artifact repository—binaries were stored in S3 buckets, shared drives, and engineers' laptops with no versioning
- •Deployments required manual environment configuration, leading to drift between staging and production
- •No rollback capability: when a release failed in production, the team had to hotfix forward or revert manually—a process that took hours
“We were shipping once a quarter and holding our breath every time. Our engineers spent more time managing the release than building the product.”
Our Approach
We structured the transformation across three phases: automate the build and test loop, centralize artifact governance, and implement safe, orchestrated deployment to Kubernetes.
Phase 01: Jenkins Pipeline: Automated Build, Test & Quality Gates
We replaced the manual build process with a declarative Jenkins pipeline that triggers on every commit. The pipeline runs unit tests, integration tests, and static analysis in parallel, enforces quality gates before producing an artifact, and publishes passing builds to Artifactory. Engineers get feedback in minutes, not days. No artifact leaves the pipeline without passing every gate.
- •Declarative Jenkinsfile pipeline with parallel test execution across stages
- •Quality gates: test coverage thresholds, static analysis, and security scanning
- •Automated artifact creation only on passing builds—failed builds produce nothing
Phase 02: Artifactory: Single Source of Truth for Artifacts
We deployed JFrog Artifactory as the central artifact repository. Every build artifact—JARs, container images, Helm charts—is versioned, tagged with build metadata, and stored in Artifactory. Promotion workflows move artifacts from dev to staging to production repositories, with access controls and a full audit trail at every step. Environment drift became impossible: what goes to production is exactly what passed staging.
- •JFrog Artifactory for all artifact types: binaries, Docker images, Helm charts
- •Promotion-based workflow: artifacts advance through repo tiers before reaching production
- •Full audit trail—every artifact linked to the commit, pipeline run, and test results that produced it
Phase 03: Spinnaker + Kubernetes: Orchestrated, Safe Deployments
We integrated Spinnaker as the deployment orchestration layer on top of Kubernetes. Spinnaker pipelines pull versioned artifacts from Artifactory and deploy using canary or blue/green strategies—gradually shifting traffic while monitoring error rates and latency. If metrics degrade, Spinnaker halts the rollout automatically. One-click rollback brings the previous version back in under two minutes.
- •Spinnaker canary deployments with automated traffic shifting and metric-based halting
- •Blue/green deployments for zero-downtime releases on critical services
- •One-click rollback to any previous artifact version—under two minutes end-to-end
The Results
- •Deployment frequency went from quarterly to daily—a 90x increase in release cadence
- •Deployment failure rate dropped to near zero through automated quality gates and canary rollouts
- •Mean time to recovery (MTTR) reduced from hours to under two minutes via one-click rollback
- •Environment drift eliminated—staging and production run identical artifact versions
- •Engineering team shifted from release coordination to feature delivery
“We went from shipping four times a year to shipping every day. The team stopped fearing releases—now they're table stakes.”
Final Takeaway
A mature CI/CD pipeline isn't about any single tool—it's about removing every manual step between a passing commit and a production deployment. Jenkins owns the build contract. Artifactory owns the artifact contract. Spinnaker owns the deployment contract. Kubernetes owns the runtime contract. When each layer does its job, daily deployments aren't heroic—they're automatic.
Technologies We Use
Modern, proven technologies to build robust applications
Jenkins
Spinnaker
Kubernetes
Artifactory
Docker
Helm
Prometheus
See More Work
Engineering Partners for Products That Ship
From applied AI and resilient cloud platforms to full-stack delivery—we help you scope with clarity, build with rigor, and release with confidence.