Kubernetes & DevOps

Enterprise E-commerce Platform

Kubernetes-Based Scalable Architecture with Production-Grade DevOps

2024 - Present
Microservices
Production Infrastructure
Kubernetes E-commerce Platform

Project Overview

A production-grade, highly scalable e-commerce platform built entirely on Kubernetes with a microservices architecture. This project showcases enterprise-level DevOps practices including GitOps deployment, automated CI/CD pipelines, comprehensive observability, and zero-downtime deployments.

The platform handles high-traffic loads with auto-scaling capabilities, implements service mesh for secure inter-service communication, and maintains 99.9% uptime through robust infrastructure automation and disaster recovery procedures.

Platform Engineering & Infrastructure

Kubernetes Orchestration

Multi-cluster Kubernetes setup with production, staging, and development environments. Implemented using OpenShift/K8s with advanced scheduling and resource management.

Microservices Architecture

15+ microservices including catalog, cart, checkout, payment, inventory, user management, and notification services with API gateway pattern.

GitOps with ArgoCD

Declarative GitOps deployment using ArgoCD for automated sync, rollback capabilities, and configuration management across all environments.

CI/CD Automation

Fully automated CI/CD pipelines using GitLab CI/Jenkins with automated testing, security scanning, and progressive deployment strategies.

Service Mesh (Istio)

Istio service mesh for secure mTLS communication, traffic management, circuit breaking, and advanced routing between microservices.

Auto-Scaling & HPA

Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) configured for automatic scaling based on CPU, memory, and custom metrics.

DevOps & Infrastructure Stack

Production-grade DevOps implementation with enterprise best practices:

  • Container Orchestration: Kubernetes 1.28+ / OpenShift 4.x with multi-zone deployment
  • GitOps: ArgoCD for declarative continuous deployment and configuration management
  • CI/CD: GitLab CI with multi-stage pipelines, automated testing, and security scanning
  • Service Mesh: Istio for traffic management, security, and observability
  • Container Registry: Red Hat Quay / JFrog Artifactory for secure image storage and scanning
  • Secrets Management: HashiCorp Vault for secure credential storage and rotation
  • Monitoring: Prometheus + Grafana with custom dashboards and alerting
  • Logging: EFK Stack (Elasticsearch, Fluentd, Kibana) for centralized log aggregation
  • Tracing: Jaeger for distributed tracing across microservices
  • API Gateway: Kong / NGINX Ingress Controller with rate limiting and authentication
  • Message Queue: Apache Kafka for event-driven architecture and async communication
  • Caching: Redis cluster for session management and application caching
  • Database: PostgreSQL with Patroni for HA, MongoDB for product catalog
  • Backup & DR: Velero for cluster backup and disaster recovery
  • Security: Falco for runtime security, Trivy for vulnerability scanning

CI/CD Pipeline Architecture

Comprehensive automated pipeline from code commit to production:

  • Source Control: GitLab with branch protection and merge request workflows
  • Build Stage: Multi-stage Docker builds with layer caching for optimization
  • Test Stage: Unit tests, integration tests, and contract testing
  • Security Scan: SAST (SonarQube), DAST, dependency scanning, and container scanning
  • Image Build: Buildah/Kaniko for rootless container builds in Kubernetes
  • Image Scan: Trivy and Clair for vulnerability detection in container images
  • Registry Push: Signed and scanned images pushed to Quay with RBAC
  • GitOps Sync: ArgoCD automatically deploys to staging environment
  • Smoke Tests: Automated smoke tests run against staging
  • Production Deploy: Blue-green or canary deployment with manual approval gate
  • Health Checks: Automated health verification post-deployment
  • Rollback: Automated rollback on failure detection

Observability & Monitoring

Comprehensive observability stack for production monitoring:

  • Metrics: Prometheus for metrics collection with 100+ custom metrics
  • Dashboards: Grafana with 20+ dashboards for infrastructure, application, and business metrics
  • Alerting: AlertManager with PagerDuty integration for critical alerts
  • Logs: Centralized logging with EFK stack, 30-day retention, and advanced search
  • Tracing: Jaeger for end-to-end request tracing across all microservices
  • APM: Application performance monitoring with custom instrumentation
  • Uptime Monitoring: External monitoring with status page
  • Cost Monitoring: Kubecost for resource utilization and cost optimization

High Availability & Disaster Recovery

Enterprise-grade HA and DR implementation:

  • Multi-Zone Deployment: Services distributed across 3 availability zones
  • Database HA: PostgreSQL with Patroni for automatic failover
  • Redis HA: Redis Sentinel for cache high availability
  • Kafka HA: Multi-broker Kafka cluster with replication factor 3
  • Backup Strategy: Velero for daily cluster backups, database PITR
  • DR Testing: Quarterly disaster recovery drills with documented runbooks
  • RTO/RPO: Recovery Time Objective < 1 hour, Recovery Point Objective < 15 minutes

Performance & Scale

10K+
Requests/Second
99.9%
Uptime SLA
15+
Microservices
< 200ms
Avg Response Time

Need Enterprise DevOps & Platform Engineering?

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