AiVibeKubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling and management of containerised applications across a cluster of machines using a declarative, desired-state model.
Kubernetes is an open-source platform that automates the deployment, scaling and management of containerised applications. It was originally developed at Google and is now maintained under the Cloud Native Computing Foundation (CNCF). A cluster has a control plane, comprising the API server, the etcd key-value store, the scheduler and controllers, and a set of worker nodes that run containers inside pods, the smallest deployable unit. Users declare a desired state in manifests, and controllers continuously reconcile the running system towards that state.
Kubernetes has become a common foundation for microservices, batch jobs and machine-learning workloads because the same declarative model works on any conforming cluster. All major clouds offer managed versions, such as Amazon EKS, Azure Kubernetes Service and Google Kubernetes Engine, and lightweight distributions such as K3s run on edge hardware close to production equipment.
The platform adds operational complexity: teams must manage version upgrades, role-based access control, network policies, resource requests and limits, and persistent storage. Secret data is stored unencrypted in etcd by default unless encryption at rest is configured. The CNCF runs a conformance programme for distributions, and the CIS Kubernetes Benchmark is widely used as a hardening baseline.
Key points
- Open-source project originally developed at Google and maintained under the Cloud Native Computing Foundation
- Pods are the smallest deployable unit; controllers reconcile actual state with the declared desired state
- Managed services include Amazon EKS, Azure Kubernetes Service and Google Kubernetes Engine
- Hardening commonly follows the CIS Kubernetes Benchmark, with RBAC and network policies
Where AiVibe comes in
AiVibe Software Services delivers cloud solutions on AWS, Microsoft Azure, Google Cloud or on-premise, together with cloud security, legacy modernisation, data analytics and AI and machine learning services.
Related terms
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Terms that refer to Kubernetes
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- Multi-CloudCloud & AI Infrastructure