Road to Kubernetes

Containers package your software and its dependencies into a portable bundle, making it easier to run, share, and deploy across most computing devices. [1]

Kubernetes automates running, scaling, and managing containers across clusters of virtual machines, reducing manual configuration and improving resource allocation. [1] [2] [3]

Managed Kubernetes services offer rapid provisioning, simplified storage and networking, predictable costs, and a managed control plane, making cluster management much easier. [1]

By designing FastAPI and Express.js apps, isolating environments, and tracking code changes with Git before deploying them using modern workflows. [1] [2] [3] [4]

Containerizing applications with Docker makes them portable, version-controlled, and easy to run on any machine with a container runtime. [1] [2]

Docker Compose allows you to define and run multi-container applications, manage container-to-container networking, and inject environment variables using simple YAML files. [1] [2]

GitHub Actions enables CI/CD pipelines that automate building, testing, and deploying applications, including provisioning servers and managing secrets. [1] [2]

Kubernetes uses StatefulSets and persistent volumes to manage stateful applications and ensure data persists beyond the lifecycle of individual containers. [1] [2]

Kubernetes offers a vast ecosystem and advanced features, while Docker Swarm is simpler and closely aligned with Docker Compose, and Nomad provides an intuitive UI and strong integration with HashiCorp tools. [1] [2]

Deployments are exposed using services, which can route and load balance traffic internally or externally via ClusterIP, NodePort, or LoadBalancer types. [1] [2]