加载中
正在获取最新内容,请稍候...
正在获取最新内容,请稍候...
Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It provides a framework for running distributed systems resiliently. It takes care of scaling and failover for your application, provides deployment patterns, and more.
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers into logical units for easy management and discovery. Originally designed by Google, it is now maintained by the Cloud Native Computing Foundation (CNCF).
In modern development environments, managing containerized applications at scale across various infrastructure requires complex orchestration. Kubernetes addresses this by automating deployment, scaling, and management of containerized applications, overcoming challenges related to load balancing, handling failures, and coordinating services.
Automatically mounts the chosen storage system, such as local storage, public cloud providers (GCP, AWS, Azure), and more.
Automates the placement of containers based on resource requirements and other constraints, without sacrificing availability.
Restarts failed containers, replaces and reschedules containers when nodes die, and kills containers that don't respond to your user-defined health checks.
Kubernetes is a versatile platform suitable for a wide range of workloads and scenarios requiring container orchestration and management at scale.
Deploying, scaling, and managing numerous independent services (microservices) across a cluster, ensuring high availability and efficient resource utilization.
Simplifies the complexity of managing distributed services, improves application resilience, and enables independent scaling of services.
Orchestrating CI/CD pipelines that build, test, and deploy containerized applications automatically, often integrating with tools like Jenkins, GitLab CI, or Argo CD.
Accelerates the software delivery lifecycle, provides consistent environments for testing and deployment, and automates rollback strategies.
You might be interested in these projects
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. It is an open-source experiment to make GPT-4 fully autonomous.
iperf3 is a widely-used command-line tool for active measurements of the maximum achievable bandwidth on IP networks. It supports tuning of various parameters related to timing, buffers, and protocols (TCP, UDP, SCTP).
A comprehensive system for managing and distributing access to various large language models (LLMs) including OpenAI, Azure, Anthropic Claude, Google Gemini, DeepSeek, Doubao, ChatGLM, Wenxin Yiyan, Xinghuo, Qwen, 360 Zhinao, and Hunyuan. It provides a single, unified API for multiple providers, enabling centralized key management and secondary distribution. The project offers a single executable file and a Docker image for easy, one-click deployment, ready for immediate use.