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1. This DevOps training course will be of benefit the following professional roles:
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An Introduction to Kubernetes
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An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
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- Docker allows developers to package applications with all dependencies into standardized units called containers that can run on any infrastructure.
- Docker uses namespaces and control groups to provide isolation and security between containers while allowing for more efficient use of resources than virtual machines.
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Docker Container Security - A Network View
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To watch the recorded webinar go to http://neuvector.com/docker-security-webinar
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2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager.
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Below are the topics covered in this Docker compose presentation:
1. What is Docker?
2. What is a Docker Compose?
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Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands on and interactive approach. The Devops training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
An Introduction to Kubernetes
An Introduction to KubernetesImesh Gunaratne Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
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Hands-On Introduction to Kubernetes at LISA17
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Kubernetes 101
Kubernetes 101Crevise Technologies Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
Containers and Docker
Containers and DockerDamian T. Gordon This document discusses containers and Docker. It begins by explaining that cloud infrastructures comprise virtual resources like compute and storage nodes that are administered through software. Docker is introduced as a standard way to package code and dependencies into portable containers that can run anywhere. Key benefits of Docker include increased efficiency, consistency, and security compared to traditional virtual machines. Some weaknesses are that Docker may not be suitable for all applications and large container management can be difficult. Interesting uses of Docker include malware analysis sandboxes, isolating Skype sessions, and managing Raspberry Pi clusters with Docker Swarm.
Hardening Kubernetes by Securing Pods
Hardening Kubernetes by Securing PodsSuraj Deshmukh This talk explains what what Pod Security Policy is and it's importance in Kubernetes Security. The talk also takes a look at the current situation of docker hub's popular images and helm charts repository.
This talk stresses on the fact that having PSP enabled the right way is absolutely necessary for the real security of the cluster.
Link to the demos:
What is Pod Security Policy? https://www.youtube.com/watch?v=nrWRMP94vqc
Kubernetes Hostpath exploit thrawted with Pod Security Policy https://www.youtube.com/watch?v=APS0CfD6DsE
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kubernetes入门培训
- 2. 目录 • docker和docker-compose回顾 • 什么是Kubernetes • Kubernetes架构 • Kubernetes核心概念 • Kubernetes小试牛刀 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 3. docker 和 docker-compose回顾 Docker是基于操作系统的沙盒技术，使得用户更简单和完整 的去打包自己的应用。 Docker-compose是一个单节点编排技术。 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 4. 什么是Kubernetes？ • 工业级容器编排平台，主要提供服务的部署、弹性、管理 • Kubernetes源于希腊语，中文意思“舵手”或者“飞行员” • k8s，省略中间8个ubernete替换为8，而得来k8s 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 5. Kubernetes核心功能点 自动化的容器编排平台功能有哪些？ • 服务发现和负载均衡 • 服务自动装箱 • 容器存储编排 • 容器故障恢复 • 自动发布和回滚 • 配置和密钥存储 • 服务水平伸缩 • 任务批量执行 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 6. 举例介绍kubernetes能力 • 调度 • 故障排除 • 配置 • 水平扩展 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 7. Kubernetes - 调度 正在调度 调度完成 等待调度 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 8. Kubernetes Kubernetes – 故障恢复 节点控制器 节点不可用 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 9. Kubernetes – 配置管理 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 10. Kubernetes – 水平伸缩 Kubernetes Kubernetes – 业务负载检查 负载过高 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 11. Kubernetes架构 Master UI CLI Node Node Node Node Node Node 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 12. Kubernetes架构介绍 • master • Node • Pod在kubernetes架构执行步骤 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 13. Kubernetes架构-master API Server Controller Scheduler Etcd 命令行 UI Node Node Node Node Node Node 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 15. Pod在Kubernetes架构执行过程 POD API Server ETCD Scheduler API Server ETCD Kubelet Container Runtime watch watch 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 16. 核心概念介绍 • Pod • Deployment&ReplicaSet • Volume • Service • NameSpaces • API 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 17. Pod • 最小调度以及资源单位 • 包含一个或者多个容器 • 定义容器运行时方式（命令和环境 变量） • 提供给容器共享的运行环境（网络 和进程空间） Pod 容器1 容器2 1 core 1G 1 core 0.5G volume1 volume2 100G 50G 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 18. Deployment • 定义pod副本数量、版本等 • 通过ReplicaSet控制pod数量（自动 重启失败的pod） • 按照指定策略控制版本 （版本升级、 回滚、重新生成） Pod Deployment Pod 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 19. Volume • Pod中一个或者多个容器可以访问的 目录 • 支持多种存储的抽象 本地存储、分 布式存储、云存储 Pod Volume 存储 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 21. NameSpaces • 一个集群内部逻辑隔离机制（鉴权 和资源分配）； • 每个资源都属于一个Namespace; • 同一个Namespace命名唯一，不同 Namespace下允许存在相同的名称. Pod Pod NameSpaces1 Pod Pod NameSpaces2 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 22. API - label • 一组key：value对； • 可以被select查询到； • 资源默认的表达形式（比如Service 选择一组pod对外提供服务）。 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息
- 23. Nginx演示 1：提交一个nginx Deployment kubectl apply –f nginx.yaml 2: 升级nginx Deployment kubectl apply –f nginx-update.yaml 3: 扩容nginx Deployment Kubectl apply –f nginx-scale.yaml 微信搜索 “云原生技术爱好者社区” 公众号获取更多消息