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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
GitCI: build · test · scanGitOpsAmazon EKS (multi-AZ)ProductionReleasesfrom weeks apart to several a week99.99% uptime6x deployment frequency40% fewer incidents
Commits flow from Git to production through CI and GitOps, many times a week.
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

  1. Git
  2. CI: build · test · scan
  3. GitOps
  4. Amazon EKS (multi-AZ)
  5. Production

How it was delivered

  1. Phase 1

    Designed a multi-AZ architecture with isolated Dev, UAT and Prod, all provisioned with Terraform.

  2. 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.

  3. 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%.

Related technical articles

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