Docker High Performance, Second Edition
暫譯: Docker 高效能，第二版

Name: Docker High Performance, Second Edition
Price: 700 TWD
Availability: InStock
Author: Espinosa, Allan, McKendrick, Russ
ISBN: 1789807212

Espinosa, Allan, McKendrick, Russ

出版商: Packt Publishing
出版日期: 2019-04-30
定價: $875
售價: 8.0 折 $700
語言: 英文
頁數: 174
裝訂: Quality Paper - also called trade paper
ISBN: 1789807212
ISBN-13: 9781789807219
相關分類: Docker

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商品描述

Key Features

Reconfigure Docker hosts to create a logging system with the ElasticSearch-Logstash-Kibana (ELK) stack
Tackle the challenges of large-scale container deployment with this fast-paced guide
Benchmark the performance of your Docker containers using Apache JMeter

Book Description

Docker is an enterprise-grade container platform that allows you to build and deploy your apps. Its portable format lets you run your code right from your desktop workstations to popular cloud computing providers. This comprehensive guide will improve your Docker work?ows and ensure your application's production environment runs smoothly.

This book starts with a refresher on setting up and running Docker and details the basic setup for creating a Docker Swarm cluster. You will then learn how to automate this cluster by using Chef Server and Cookbook. After that, you will run the Docker monitoring system with Prometheus and Grafana, and deploy the ELK stack. You will also learn some tips for optimizing Docker images.

After deploying containers with the help of Jenkins, you will then move on to a tutorial on using Apache JMeter to analyze your application's performance. You will learn how to use Docker Swarm and NGINX to load-balance your application and how common debugging tools in Linux can be used to troubleshoot Docker containers.

By the end of this book, you will be able to integrate all the optimizations that you have learned and put everything into practice in your applications.

What you will learn

Automate provisioning and setting up nodes in a Docker Swarm cluster
Configure a monitoring system with Prometheus and Grafana
Use Apache JMeter to create workloads for benchmarking the performance of Docker containers
Understand how to load-balance an application with Docker Swarm and Nginx
Deploy strace, tcdump, blktrace, and other Linux debugging tools to troubleshoot containers
Integrate Docker optimizations for DevOps, Site Reliability Engineering, CI, and CD

Who this book is for

If you are a software developer with a good understanding of managing Docker services and the Linux file system and are looking for ways to optimize working with Docker containers, then this is the book for you. Developers fascinated with containers and workflow automation with benefit from this book.

商品描述(中文翻譯)

**主要特點**

- 重新配置 Docker 主機以建立使用 ElasticSearch-Logstash-Kibana (ELK) 堆疊的日誌系統
- 透過這本快速指南解決大規模容器部署的挑戰
- 使用 Apache JMeter 基準測試您的 Docker 容器性能

**書籍描述**

Docker 是一個企業級的容器平台，允許您構建和部署應用程式。其可攜式格式使您能夠從桌面工作站直接運行代碼到流行的雲端計算提供商。這本全面的指南將改善您的 Docker 工作流程，並確保您的應用程式生產環境運行順利。

本書首先回顧如何設置和運行 Docker，並詳細介紹創建 Docker Swarm 集群的基本設置。接著，您將學習如何使用 Chef Server 和 Cookbook 自動化此集群。之後，您將運行使用 Prometheus 和 Grafana 的 Docker 監控系統，並部署 ELK 堆疊。您還將學習一些優化 Docker 映像的技巧。

在使用 Jenkins 部署容器後，您將進入一個使用 Apache JMeter 分析應用程式性能的教程。您將學習如何使用 Docker Swarm 和 NGINX 來負載平衡您的應用程式，以及如何使用 Linux 中的常見除錯工具來排除 Docker 容器的故障。

在本書結束時，您將能夠整合所有學到的優化並將其應用於您的應用程式中。

**您將學到的內容**

- 自動化 Docker Swarm 集群中節點的配置和設置
- 使用 Prometheus 和 Grafana 配置監控系統
- 使用 Apache JMeter 創建工作負載以基準測試 Docker 容器的性能
- 理解如何使用 Docker Swarm 和 Nginx 進行應用程式的負載平衡
- 部署 strace、tcdump、blktrace 和其他 Linux 除錯工具以排除容器故障
- 整合 Docker 優化以支持 DevOps、網站可靠性工程、持續集成 (CI) 和持續交付 (CD)

**本書適合誰**

如果您是一位對管理 Docker 服務和 Linux 檔案系統有良好理解的軟體開發人員，並且正在尋找優化使用 Docker 容器的方法，那麼這本書就是為您而寫。對容器和工作流程自動化感興趣的開發人員將從本書中受益。

作者簡介

Allan Espinosa is a DevOps practitioner and an active open source contributor to various distributed system tools, such as Docker and Chef. Allan maintains several Docker images for popular open source software that were popular even before their official release from the upstream open source groups.

Throughout his career, Allan has worked on large distributed systems containing hundreds to thousands of servers in production. He has built scalable applications on various platforms, ranging from large supercomputing centers to production clusters in the enterprise. He is currently managing distributed systems at scale for Bloomberg, where he oversees the company's Hadoop infrastructure. Allan can be contacted through his Twitter handle, @AllanEspinosa.

Russ McKendrick is an experienced system administrator who has been working in IT and related industries for over 25 years. During his career, he has had varied responsibilities, from looking after an entire IT infrastructure to providing first-line, second-line, and senior support in both client-facing and internal teams for large organizations.

Russ supports open source systems and tools on public and private clouds at N4Stack, a Node4 company, where he is the practice manager (SRE and DevOps). In his spare time, he has written several books including Mastering Docker, Learn Ansible and Kubernetes for Serverless Applications, all published by Packt Publishing.

作者簡介(中文翻譯)

Allan Espinosa 是一位 DevOps 實踐者，並且是多個分散式系統工具的活躍開源貢獻者，例如 Docker 和 Chef。Allan 維護著幾個流行開源軟體的 Docker 映像，這些軟體在其來自上游開源團體的正式發布之前就已經相當受歡迎。

在他的職業生涯中，Allan 曾在包含數百到數千台伺服器的生產環境中工作於大型分散式系統。他在各種平台上構建可擴展的應用程式，範圍從大型超級計算中心到企業的生產集群。他目前在 Bloomberg 管理大規模的分散式系統，負責公司的 Hadoop 基礎設施。可以通過他的 Twitter 帳號 @AllanEspinosa 聯繫 Allan。

Russ McKendrick 是一位經驗豐富的系統管理員，在 IT 及相關行業工作超過 25 年。在他的職業生涯中，他擔任過多種職責，從照顧整個 IT 基礎設施到為大型組織的客戶端和內部團隊提供一線、二線及高級支持。

Russ 在 N4Stack（Node4 公司的子公司）支持公共和私有雲上的開源系統和工具，擔任實踐經理（SRE 和 DevOps）。在空閒時間，他撰寫了幾本書，包括《Mastering Docker》、《Learn Ansible and Kubernetes for Serverless Applications》，這些書籍均由 Packt Publishing 出版。