A typical modern deployment structure containerizes the application with Docker, orchestrates it with Kubernetes for scaling and availability, and relies on managed services like Redis and MySQL for state, all driven by an automated CI/CD pipeline.
Key Points: • Each application component is packaged as a Docker image containing its runtime and dependencies, ensuring consistency across environments. • Kubernetes schedules and runs those containers across a cluster, handling scaling, self-healing, and rolling updates automatically. • Redis provides centralized session storage, so the application stays stateless at the instance level and can scale horizontally. • MySQL serves as the durable, relational data store for persistent application data. • Jenkins automates the pipeline from commit to deployment, consistently promoting the same artifact through development, staging, and production.
Example: A checkout service is built into a Docker image by Jenkins on every merge, deployed as a Kubernetes Deployment with three replicas, backed by a MySQL database for orders and Redis for session data, with the same pipeline promoting it through staging before production.
Interview Tip: A concise interview answer is:
"Our applications are containerized with Docker and run on Kubernetes for scaling and self-healing, with Redis handling distributed sessions and MySQL as the persistent datastore. Jenkins drives the whole pipeline, consistently deploying the same artifact across dev, staging, and production."