The build context is the directory that Docker uses to build the image. When building an image using source code, you typically want to ensure that all the necessary files and dependencies are included in the build context.
Kubernetes is designed to manage containerized applications at scale, ensuring high availability and resilience even in the face of failures. Kubernetes constantly monitors the health of pods and nodes. If a pod crashes or becomes unresponsive, the ReplicaSet or Deployment Controller automatically replaces it, ensuring minimal downtime. Kubernetes dynamically scales workloads based on demand. Kubernetes ensures seamless application updates using rolling updates, avoiding downtime. If an update introduces failures, rollbacks can be triggered to revert to a stable state. To distribute workloads effectively, Kubernetes allows users to define affinity and anti-affinity rules ensuring pods are scheduled across different nodes for fault tolerance.
A Pod is a small deployable unit that has a running container, inside a Pod, we can run one or more containers. Sometimes two or more containers have to be placed very near for efficient communication.
The advantages are there of running multiple containers on a single Pod such as communicating with the same IP, sharing the same volume, etc.
The main reason is that containers are designed to run a single process, but real-world applications often need multiple processes working tightly together. Sometimes you have a main application (like a web server), They need to run on the exact same machine and share resources. A Pod groups them together, so Kubernetes handles them as a single unit.
The Pod is the “logical host” (the environment). The Container is the application process (the code). Containers are the basic building blocks for running individual applications, pods provide the orchestration-friendly abstraction that allows Kubernetes to manage, scale, and heal applications effectively.