Kubernetes
Kubernetes is an open platform for automating deployment, scaling, and management of containerized applications. It provides an environment for running distributed systems and applications at cloud scale.
Kubernetes Definition
Kubernetes is an open platform for automating deployment, scaling, and management of containerized applications. It provides an environment for running distributed systems and applications at cloud scale.
Kubernetes (often abbreviated to K8s) is a container orchestration system originally created by Google and now developed as an open-source project. It enables automation of many processes related to deploying, scaling, and managing applications running in containers.
Kubernetes Security
Kubernetes introduces its own complex attack surface: the API server, etcd, container images and configurations. Core protections include role-based access control (RBAC), network policies, image vulnerability scanning and pod privilege restrictions (Pod Security / SCC).
In a DevSecOps model, security is built into the pipeline — from signed images and secrets management to runtime monitoring. Cluster misconfiguration is one of the most common causes of breaches in cloud environments.
Key Features of Kubernetes
- Automatic container management
- Self-healing - automatic restart and migration of containers
- Horizontal scaling
- Load balancing
- Service discovery and configuration management
- Automatic deployments and rollbacks
- Data and storage management
How Does Kubernetes Work?
Kubernetes operates based on a master-worker architecture:
- Master node manages the entire cluster and makes global decisions.
- Worker nodes run applications and workloads.
- Containers are grouped into pods, which are the smallest unit in Kubernetes.
- Kubernetes automatically manages pods, scaling and distributing them across nodes.
Main Components of Kubernetes Architecture
- API Server: Central cluster management point
- etcd: Distributed database storing cluster configuration
- Scheduler: Assigns pods to nodes
- Controller Manager: Manages Kubernetes controllers
- Kubelet: Agent running on each node
- Container Runtime: Software for running containers (e.g., Docker, containerd)
Kubernetes Applications in Business
- Deploying microservice applications
- Managing multi-cloud and hybrid environments
- Automating CI/CD processes
- Scaling web applications
- Managing data analytics and machine learning workloads
Benefits of Kubernetes Implementation
- Increased application performance and scalability
- Optimization of resource utilization
- Accelerated software release cycle
- Easier management of complex environments
- Application portability between different environments
Kubernetes has become the standard in container orchestration, enabling companies to efficiently manage applications at cloud scale and accelerating digital transformation.
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Frequently asked questions
+ What is the difference between Kubernetes and Docker?
Docker is a containerization technology — it packages an application together with its dependencies into a portable container. Kubernetes is an orchestration platform that manages many containers at scale: it automates their deployment, scaling, self-healing and load balancing across a cluster of machines. In practice they complement each other — Docker builds and runs containers, while Kubernetes conducts them in a production environment.
+ What components make up Kubernetes?
A cluster is divided into the control plane and worker nodes. The control plane includes the API Server (the entry point), etcd (a distributed cluster-state database), the scheduler (assigning pods) and the controller manager. On the nodes run the kubelet (the agent managing pods), kube-proxy (networking) and pods — the smallest runtime units, grouping one or more containers.
+ What do companies use Kubernetes for?
Kubernetes is the standard for running applications in a microservices architecture, automating CI/CD, hybrid and multi-cloud deployments and dynamically scaling for variable traffic. It works well where high availability, fault tolerance and portability between cloud providers (AWS EKS, Azure AKS, Google GKE) matter.
+ How do you secure Kubernetes?
Key practices are: role-based access control (RBAC), isolation through namespaces and Network Policies, scanning container images for vulnerabilities, pod security policies (Pod Security Standards), encrypting secrets in etcd and keeping everything up to date. nFlo supports the auditing and hardening of Kubernetes clusters in line with CIS benchmarks.