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Containers
Kubernetes
Kubernetes is the leading orchestration platform for managing containerized workloads at scale. It automates deployment, scaling, networking, service discovery, self-healing, and configuration management for distributed systems.
K8sScalingClusters
Key Concepts
Pods are the smallest deployable units in Kubernetes.
Deployments manage stateless applications and rolling updates.
Services provide stable networking access to dynamic pods.
ConfigMaps and Secrets inject configuration into workloads.
Common Interview Questions
What is the difference between a Deployment and a StatefulSet?
What is the difference between liveness and readiness probes?
What is a Kubernetes Service?
Use Case
Use Kubernetes when you need service discovery, scaling, self-healing, and orchestration for containerized apps.
Common Use Cases
Running containerized microservices in production.
Managing internal platforms and developer environments.
Deploying scalable web apps and APIs.
Automating rolling releases and self-healing operations.
Pros
Excellent for large-scale container orchestration.
Supports self-healing, scaling, and rolling deployments.
Strong ecosystem with wide cloud and tooling support.
Very powerful for microservices and platform engineering.
Cons
Has a steep learning curve.
Operational complexity is much higher than plain Docker.
Misconfiguration can cause production outages or security gaps.