Kubernetes

Container orchestration platform automating deployment, scaling, and management of containerized applications. Kubernetes handles load balancing, self-healing, and rolling updates across clusters. Its declarative configuration and extensive ecosystem make it a container orchestration platform that automates deployment, scaling, and management of containerized applications across clusters of machines. Originally developed at Google, it handles load balancing, self-healing when containers fail, rolling updates with zero downtime, and resource allocation across nodes.

The system uses a declarative configuration model. You describe the desired state of your application, such as three replicas of a web server behind a load balancer with specific resource limits, and Kubernetes continuously works to maintain that state. If a container crashes, it restarts automatically. If a node goes down, workloads are rescheduled to healthy nodes without intervention.

For web development teams, Kubernetes is most relevant when running microservices or applications that need to scale dynamically based on traffic. It provides service discovery, secrets management, and automated rollbacks. However, it adds significant operational complexity. Teams should evaluate whether their scale genuinely requires container orchestration, as simpler platforms handle most web deployment scenarios with far less overhead.