# Kubernetes-Driven Microservices Platform

**Environment:** Google Kubernetes Engine (GKE), Istio, CI/CD, GCP, Stackdriver, Prometheus, GitLab

#### **Project Overview**

A growing fintech client needed to modernize its monolithic application into a scalable, cloud-native microservices architecture. The goal was to improve service reliability, deployment speed, and observability, while supporting multi-region redundancy and compliance standards.

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#### **Objectives**

* Break down a legacy monolith into microservices.
    
* Deploy to a secure, scalable, and highly available Kubernetes cluster.
    
* Enable safe and rapid deployments with CI/CD.
    
* Establish centralized logging, metrics, and monitoring.
    
* Ensure multi-region failover and security best practices.
    

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#### **Key Responsibilities & Solutions**

✅ **Architecture & Design**

* Designed a **multi-region GKE cluster** strategy across `us-central1` and `us-east1` for high availability and low latency.
    
* Adopted **node pools with autoscaling** and custom taints for workload isolation (e.g., batch jobs vs. API services).
    

✅ **Service Mesh with Istio**

* Deployed **Istio** for:
    
    * Secure mTLS-based service-to-service communication.
        
    * Fine-grained traffic routing for canary deployments.
        
    * Centralized policy enforcement and telemetry collection.
        

✅ **CI/CD Automation**

* Built end-to-end **CI/CD pipelines** using **GitLab CI**, integrating:
    
    * Linting, testing, Docker image building
        
    * Image security scans (Trivy)
        
    * Helm-based deployment to GKE with GitOps principles
        
* Implemented **automated rollback** on failed health checks post-deploy.
    

✅ **Observability & Monitoring**

* Integrated **Google Cloud's Operations Suite (formerly Stackdriver)** for:
    
    * Centralized logging, alerting, and uptime checks.
        
* Deployed **Prometheus** and **Grafana** to collect and visualize custom metrics at the pod and service levels.
    

✅ **Security & Compliance**

* Used **Workload Identity** for secure access to Google APIs.
    
* Set up **PodSecurityPolicies**, **network policies**, and **binary authorization**.
    
* Implemented **secret management** with GCP Secret Manager and Kubernetes sealed secrets.
    

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#### **Outcomes & Impact**

* Reduced deployment time from hours to **<10 minutes per service**.
    
* Achieved **99.99% uptime** across regions with zero downtime deployments.
    
* Enabled **developer self-service**, resulting in a 40% increase in release frequency.
    
* Improved system observability, reducing MTTR by over **60%**.
    
* Laid groundwork for **PCI-DSS compliance** in production environments.