DevOps Transformation for a FinTech: 99.99% Uptime, Releases in Hours
A FinTech platform moved from manual deployments to Terraform, EKS, GitOps and automated CI/CD: 99.99% uptime, releases cut from weeks to hours, 6× deployment frequency and 40% fewer incidents.
- DevOps
- FinTech
- India
- AWS
- application uptime in production
- 99.99%
- deployment frequency, releases in hours not weeks
- 6×
- fewer operational incidents
- 40%
At a glance
- Engagement
- DevOps
- Industry
- FinTech
- Platform
- AWS
- Region
- India
- Client
- FinTech platform, name withheld
- Technologies
- 11 in the delivered stack
Before and after
Downtime on this FinTech platform hit revenue, customer trust and regulatory compliance, yet deployments were manual and error-prone and releases took weeks to reach production.
Before
- Single points of failure in the infrastructure, with limited monitoring and slow incident detection.
- No standardized CI/CD pipelines, and security checks run manually and inconsistently.
- Faster releases had to come with near-zero downtime.
After
- 99.99% application uptime in production
- 6× deployment frequency, releases in hours not weeks
- 40% fewer operational incidents
The solution
Solution path
- Git
- CI: build · test · scan
- GitOps
- Amazon EKS (multi-AZ)
- Production
How it was delivered
Phase 1
Designed a multi-AZ architecture with isolated Dev, UAT and Prod, all provisioned with Terraform.
Phase 2
Containerized the applications on Amazon EKS and built automated CI/CD for build, test, security scanning and deployment, with GitOps rollouts and fast rollbacks.
Phase 3
Introduced rolling, blue-green and canary releases, DevSecOps scanning and centralized monitoring, logging and alerting.
Technology stack
- Amazon EKS
- Docker
- Terraform
- Jenkins
- GitLab CI
- GitOps
- Amazon RDS PostgreSQL
- Amazon S3
- AWS IAM
- AWS WAF
- Amazon CloudWatch
Questions about this project
How did the FinTech reach 99.99% uptime?
A multi-AZ architecture removed single points of failure, and zero-downtime release strategies (rolling, blue-green and canary) on Amazon EKS meant deployments no longer caused outages.
How much faster did releases become?
Release cycles dropped from weeks to hours, deployment frequency rose six-fold, and operational incidents fell by 40%.
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