【docker swarm】

这里写目录标题

  • [Feature highlights](#Feature highlights)

Current versions of Docker include Swarm mode for natively managing a cluster of Docker Engines called a swarm(蜂群). Use the Docker CLI command line interface to create a swarm, deploy application services to a swarm, and manage swarm behavior.

Docker Swarm mode is built into the Docker Engine.

Feature highlights

  1. Cluster management integrated with Docker Engine

    Use the Docker Engine CLI to create a swarm of Docker Engines where you can deploy application services. You don't need additional orchestration /ˌɔːrkɪˈstreɪʃn/

    software to create or manage a swarm.

  2. Decentralized design

    Instead of handling differentiation between node roles at deployment time, the Docker Engine handles any specialization at runtime. You can deploy both kinds of nodes, managers and workers, using the Docker Engine. This means you can build an entire swarm from a single disk image.

  3. Declarative service model

    Docker Engine uses a declarative approach to let you define the desired state of the various services in your application stack. For example, you might describe an application comprised of a web front end service with message queueing services and a database backend.

  4. Scaling

    For each service, you can declare the number of tasks you want to run. When you scale up or down, the swarm manager automatically adapts by adding or removing tasks to maintain the desired state.

  5. Desired state reconciliation

    The swarm manager node constantly monitors the cluster state and reconciles any differences between the actual state and your expressed desired state. For example, if you set up a service to run 10 replicas of a container, and a worker machine hosting two of those replicas crashes, the manager creates two new replicas to replace the replicas that crashed. The swarm manager assigns the new replicas to workers that are running and available.

  6. Multi-host networking

    You can specify an overlay network for your services. The swarm manager automatically assigns addresses to the containers on the overlay network when it initializes or updates the application.

  7. Service discovery

    Swarm manager nodes assign each service in the swarm a unique DNS name and load balance running containers. You can query every container running in the swarm through a DNS server embedded in the swarm.

  8. Load balancing

    You can expose the ports for services to an external load balancer. Internally, the swarm lets you specify how to distribute service containers between nodes.

  9. Secure by default

    Each node in the swarm enforces TLS mutual authentication and encryption to secure communications between itself and all other nodes. You have the option to use self-signed root certificates or certificates from a custom root CA.

  10. Rolling updates

    At rollout time you can apply service updates to nodes incrementally. The swarm manager lets you control the delay between service deployment to different sets of nodes. If anything goes wrong, you can roll back to a previous version of the service.

相关推荐
RyFit8 分钟前
SpringAI 常见问题及解决方案大全
java·ai
石山代码21 分钟前
C++ 内存分区 堆区
java·开发语言·c++
绝知此事35 分钟前
【算法突围 01】线性结构与哈希表:后端开发的收纳术
java·数据结构·算法·面试·jdk·散列表
无风听海41 分钟前
C# 隐式转换深度解析
java·开发语言·c#
一只大袋鼠1 小时前
Git 进阶(二):分支管理、暂存栈、远程仓库与多人协作
java·开发语言·git
德思特2 小时前
从 Dify 配置页理解 RAG 的重要参数
java·人工智能·llm·dify·rag
YOU OU2 小时前
Spring IoC&DI
java·数据库·spring
CodeMartain3 小时前
Dify Windows 原生部署(无 Docker、纯本地)
运维·docker·容器
один but you3 小时前
从可变参数到 emplace:现代 C++ 性能优化的核心组合
java·开发语言
是码龙不是码农3 小时前
ThreadPoolExecutor 7 个核心参数详解
java·线程池·threadpool