From Code to Production: An Interactive Story
Scroll to begin
Every deployment begins with a developer pushing code. But what happens next? In modern DevOps, a single git push triggers an entire automated pipeline that validates, builds, and deploys your application without manual intervention.
GitHub Actions springs into action. The pipeline validates code quality, runs tests, builds Docker images, and prepares for deployment. Each step must pass before proceeding—preventing bad code from reaching production.
YAML syntax check, security scan
Docker image creation, dependency install
Unit tests, integration tests
Infrastructure provisioning triggered
Terraform provisions cloud resources automatically. VPCs, load balancers, compute instances—all defined in code. No clicking through consoles. No manual configuration. Infrastructure that's reproducible, versioned, and auditable.
Kubernetes deploys your application across multiple nodes. Three replicas ensure high availability. Rolling updates enable zero-downtime deployments. Health checks automatically restart failed pods. Self-healing infrastructure at scale.
Traffic distributed across all pods via Service Load Balancer
Istio adds automatic mTLS encryption between services. ArgoCD ensures GitOps workflows—your Git repository is the single source of truth. Traffic management, canary deployments, and distributed tracing all come built-in.
Prometheus scrapes metrics. Grafana visualizes dashboards. Loki aggregates logs. Jaeger traces requests across microservices. When something breaks at 3 AM, you know exactly what, where, and why—reducing MTTD from 45 minutes to 13 minutes.