Managed Kubernetes

Kubernetes is an open-source system that automates the deployment, scaling, and management of applications using containers. It orchestrates clusters of virtual machines, ensuring efficient resource utilization.

At its core, Kubernetes uses a master-worker architecture. The master node controls and schedules workloads, while worker nodes run the containerized applications. Communication happens through an API server.

A Kubernetes cluster comprises the master node, which includes the API server, scheduler, and controller manager, and worker nodes hosting the kubelet and container runtime. Together, they coordinate container orchestration.

Kubernetes schedules and orchestrates containers by defining desired states in configurations. It continuously monitors these states, making adjustments to maintain them.

Kubernetes enhances deployment speed, ensures scalability, and provides fault tolerance. It also reduces the complexity of managing containerized environments.

Scaling in Kubernetes is automatic, using Horizontal Pod Autoscalers to add or remove pods based on resource usage metrics like CPU and memory.

Docker is a containerization platform, while Kubernetes is a system for orchestrating multiple containers. They often work together but serve different purposes.

Kubernetes replicates applications across nodes and uses controllers to restart failed pods, ensuring workloads remain operational.

Pods are the smallest deployable units in Kubernetes, encapsulating one or more containers that share resources like networking and storage.

Setting up a Kubernetes cluster involves installing a distribution like Minikube, deploying a master node, and adding worker nodes to it. Tools like kubeadm simplify this process.

Kubernetes services provide a stable IP and DNS name to access a group of pods. They enable seamless communication between components in the cluster.

Kubernetes uses persistent volumes (PVs) to abstract storage resources. Persistent volume claims (PVCs) allow pods to request specific storage.

Deployments define the desired state of pods and ensure they are replicated or updated accordingly. They are crucial for rolling updates and scaling.

Kubernetes supports rolling updates, allowing gradual updates without downtime. Rollbacks are automated if issues arise.

Namespaces segment cluster resources, enabling better organization and isolation of workloads. They are particularly useful in multi-team environments.

CI/CD pipelines use Kubernetes for continuous deployment, automating tasks like testing and deploying code changes to live environments.

Our Kubernetes hosting employs features like role-based access control (RBAC), network policies, and encrypted communications to secure the cluster.

Kubernetes as a service sets resource requests and limits at the pod level, ensuring fair resource distribution and preventing overconsumption.

ConfigMaps manage configuration data, while Secrets store sensitive information like passwords. Both are essential for dynamic application management.

Kubernetes abstracts underlying infrastructure, allowing workloads to run seamlessly across multiple cloud or on-premise environments.