Popular Kubernetes Articles

Canary deployment gradually exposes a new application version to production traffic while monitoring its health before a full rollout.

Kubernetes has become one of the standard platforms for running containerized applications at scale. It provides scheduling, service discovery, load balancing, automated deployments, scaling, self-healing, configuration management, and infrastructure abstraction through a common declarative API.

Kubernetes provides primitives for scheduling, service discovery, health checks, scaling, configuration, and workload recovery, but production reliability depends on how those primitives are combined. A cluster can be technically healthy while applications suffer from poor scheduling, weak failure i

Rolling deployment is a software release strategy that updates an application incrementally instead of replacing every running instance at once. The deployment controller starts new instances, waits for them to become ready, and removes old instances in batches until the entire application runs the

Kubernetes applications need configuration that changes independently from application code: database endpoints, feature flags, queue names, service URLs, credentials, API tokens, certificates, and environment-specific settings. Embedding these values directly into container images couples deploymen

Kubernetes autoscaling adjusts application or infrastructure capacity as workload demand changes. Instead of permanently provisioning enough resources for peak traffic, a cluster can add application replicas, increase pod resource allocations, or expand the underlying node pool when additional capac

Kubernetes can restart containers, replace failed pods, and reschedule workloads after node failures, but those mechanisms do not automatically make an application highly available. A workload can have ten replicas and still fail completely if they share the same node, availability zone, overloaded

Kubernetes pods are dynamic. They are created during scaling, replaced after failures, moved between nodes, and recreated during deployments. Each replacement can receive a different IP address. Production applications therefore cannot safely depend on discovering and calling individual pod addresse

Production Kubernetes applications rarely run as manually created pods. Pods are disposable runtime units: they can disappear during node failures, deployments, scaling events, evictions, and infrastructure maintenance. Something must continuously ensure that the required number and type of pods exi

Kubernetes turns a pool of compute resources into a platform where applications can be scheduled, restarted, replicated, and moved without tying application architecture to individual servers. The core abstraction is not a virtual machine or even a container. It is a hierarchy of clusters, nodes, an