Deploy time from 15 minutes to 2, with 98% fewer failures.
A fintech platform relied on manual deployments that took 15 minutes and frequently failed. We rebuilt their pipeline with automated blue-green deployments, cutting release cycles from weekly to multiple times daily.
The short version.
A fintech platform processing $2M+ in daily transactions was deploying code once a week through a manual, error-prone process. Deployments required a senior engineer to SSH into servers, run scripts in sequence, and manually verify each step. One in five deployments failed, requiring rollbacks that took 30+ minutes.
We redesigned the entire deployment pipeline through our cloud infrastructure practice with GitHub Actions, Kubernetes, and ArgoCD for GitOps-based blue-green deployments. The team now deploys 5+ times daily with full confidence — automated testing catches issues before production, and instant rollbacks provide a safety net.
Manual deploys in a business that can’t afford downtime.
For a fintech processing real money, deployment failures weren’t just inconvenient; they were financially dangerous. The existing process was held together with scripts and hope:
- Manual 15-minute process: SSH into 4 servers, run migration scripts, restart services in order, verify health checks manually
- 20% failure rate: one in five deployments had issues; dependency ordering, migration failures, or configuration drift
- 30+ minute rollbacks: when deployments failed, rolling back was another manual process with its own failure modes
- Weekly releases only: deployments were so risky that the team batched changes into weekly releases; hotfixes required the same painful process
- Bus factor of 1: only the lead engineer knew the deployment process; vacations meant no deployments
- No staging parity: staging environment had drifted from production; “works in staging” didn’t mean it worked in production
The team was shipping features faster than they could deploy them. The deployment bottleneck was slowing down the entire engineering organization.
GitOps with blue-green deployments and instant rollback.
We replaced the entire deployment process with a GitOps pipeline where merging to main is the only deployment step. Everything else is automated:
- GitHub Actions CI: automated build, lint, test, security scan, and Docker image creation on every PR
- ArgoCD GitOps: Kubernetes manifests in Git are the source of truth; ArgoCD continuously reconciles desired vs actual state
- Blue-green deployments: new version deployed alongside old; traffic switched atomically after health checks pass
- Instant rollback: revert the Git commit and ArgoCD rolls back in 30 seconds; no manual intervention needed
- Environment parity: staging and production use identical Helm charts with environment-specific values; no more drift
- Deployment guardrails: automated canary analysis, database migration verification, and smoke tests before traffic switch
GitOps pipeline with automated quality gates.
Every code change flows through automated quality gates before reaching production. The pipeline catches issues at each stage, and blue-green deployment ensures zero-downtime releases.
GitOps | merge to deploy, revert to rollback
The pipeline includes automated database migration verification: it runs migrations against a production-clone database before applying them to production. This catches schema issues that would previously cause deployment failures. Deploy failures dropped from 20% to under 2%, and the remaining 2% are caught by automated canary analysis before traffic is switched. See our CI/CD pipeline design guide for the principles behind this approach.
“Deployments used to be a Friday afternoon anxiety ritual. Now any engineer on the team can deploy by merging a PR, and if anything goes wrong, rollback is one click. We ship features in hours instead of weeks.”
Engineering Lead, Fintech platform
Deployments slowing
your team down?
We’ll audit your pipeline and design an automated deployment workflow that your whole team can use.