Docker is used for packaging and running a single application, while Kubernetes helps run multiple apps efficiently, especially when scaling.
When using Docker, running 'docker run' starts an isolated container with necessary app components, sharing the host OS kernel for lightweight performance.
Internally, Docker utilizes Linux namespaces, cgroups, and a Union File System to manage containers efficiently.
Kubernetes complements Docker by managing multiple containers, enabling deployment, scaling, updates, and self-healing in a microservices environment.
Kubernetes doesn't replace Docker but works with it to orchestrate container lifecycles in a distributed system.
To deploy a Spring Boot microservice on Kubernetes, build and push a Docker image, then create YAML files for Deployment and Service configurations.
YAML files specify deployment replicas, container images, ports, and services to expose application functionality.
For multiple microservices and databases, separate Deployments and Services are created, with optional Ingress to manage external traffic routing.
Docker builds and runs containers, while Kubernetes orchestrates containers across nodes in production, offering autoscaling and resilience.
Understanding Docker's internals, Kubernetes basics, deploying microservices, and reading YAML manifests are key takeaways for building cloud-native apps.
The combined use of Docker and Kubernetes forms the foundation for developing scalable, cloud-native applications.