Kubernetes clusters
Also written: K8s
Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications.
Imagine you have many different software applications that need to run all the time. Kubernetes helps manage all these applications, making sure they are running smoothly and can handle more users if needed.
It works by grouping your applications into "containers," which are like self-contained packages. Kubernetes then takes care of deploying these containers, updating them, and making sure they don't crash. Think of it as an orchestra conductor for your software applications.
Kubernetes is an open-source container orchestration system that automates the deployment, scaling, and management of containerized workloads and services. It provides a framework for managing clusters of hosts, abstracting away the underlying infrastructure and enabling declarative configuration and self-healing capabilities.
Key features include automated rollouts and rollbacks, service discovery and load balancing, storage orchestration, and secret and configuration management. Kubernetes manages resources like Pods, Services, Deployments, and StatefulSets to ensure applications are available and scalable.
Frontier AI labs are increasingly deploying and managing complex AI models and their supporting infrastructure. Kubernetes offers a robust platform for automating the deployment, scaling, and management of these containerized applications, making it essential for operational efficiency and reliability.
- Announcing MCP support in Apigee hybrid: agentic tools that run in your own clusterGoogle · Google Developers Blog ·
- Automating repetitive work at OpenAI with CodexOpenAI · OpenAI Developers Blog ·
- Google Gemini
- Google Gemini uses Kubernetes to run AI agent tools within users' own clusters, offering enhanced control and security for these applications.
- OpenAI ChatGPT
- OpenAI uses tools like Codex, which can be integrated with systems like Kubernetes, to automate engineering tasks and create reusable workflows for their AI development.
- Docker
- Docker is a platform for building, shipping, and running applications in
- Cloud computing
- Cloud computing refers to the delivery of computing services ov
- Serverless
- Serverless computing abstracts away server management entirely, whil
Kubernetes was originally designed by engineers at Google, inspired by their internal system called Borg. It was open-sourced in 2014 and is now maintained by the Cloud Native Computing Foundation (CNCF). Source ↗
You can explore Kubernetes by using a managed service like Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), or Azure Kubernetes Service (AKS). These services simplify cluster setup, allowing you to deploy a simple web application in a container and observe how Kubernetes manages its lifecycle.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
- HeuristicDouble coding agent task completion with docs linksProviding coding agents with a documentation link significantly increases their task completion rate. · 2 min
Questions people ask
- What is a container?
- A container is a lightweight, standalone, executable package of software that includes everything needed to run it: code, runtime, system tools, system libraries, and settings.
- Why do I need Kubernetes if I have Docker?
- Docker helps you package applications into containers. Kubernetes helps you manage and scale many of those containers across multiple machines, automating tasks like deployment and recovery.
First seen on Subvolts Sep 3, 2026. Updated Oct 14, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.