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ویرایش: نویسندگان: Joakim Verona, Michael Duffy, Paul Swartout سری: ISBN (شابک) : 1787126617, 9781787126619 ناشر: Packt Publishing سال نشر: 2016 تعداد صفحات: 713 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 20 مگابایت
در صورت تبدیل فایل کتاب Learning DevOps: Continuously Deliver Better Software به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب یادگیری DevOps: به طور مداوم نرم افزار بهتری را ارائه دهید نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Copyright Credits Preface Table of Contents Module 1 Chapter 1: Introduction to DevOps and Continuous Delivery Introducing DevOps How fast is fast? The Agile wheel of wheels Beware the cargo cult Agile fallacy DevOps and ITIL Summary Chapter 2: A View from Orbit The DevOps process and Continuous Delivery – an overview Release management Scrum, Kanban, and the delivery pipeline Wrapping up – a complete example Identifying bottlenecks Summary Chapter 3: How DevOps Affects Architecture Introducing software architecture The monolithic scenario Architecture rules of thumb The separation of concerns The principle of cohesion Coupling Back to the monolithic scenario A practical example Three-tier systems The presentation tier The logic tier The data tier Handling database migrations Rolling upgrades Hello world in Liquibase The changelog file The pom.xml file Manual installation Microservices Interlude – Conway\'s Law How to keep service interfaces forward compatible Microservices and the data tier DevOps, architecture, and resilience Summary Chapter 4: Everything is Code The need for source code control The history of source code management Roles and code Which source code management system? A word about source code management system migrations Choosing a branching strategy Branching problem areas Artifact version naming Choosing a client Setting up a basic Git server Shared authentication Hosted Git servers Large binary files Trying out different Git server implementations Docker intermission Gerrit The pull request model GitLab Summary Chapter 5: Building the Code Why do we build code? The many faces of build systems The Jenkins build server Managing build dependencies The final artifact Cheating with FPM Continuous Integration Continuous Delivery Jenkins plugins The host server Build slaves Software on the host Triggers Job chaining and build pipelines A look at the Jenkins filesystem layout Build servers and infrastructure as code Build phases Alternative build servers Collating quality measures About build status visualization Taking build errors seriously Robustness Summary Chapter 6: Testing the Code Manual testing Pros and cons with test automation Unit testing JUnit in general and JUnit in particular Mocking Test Coverage Automated integration testing Performance testing Automated acceptance testing Automated GUI testing Integrating Selenium tests in Jenkins JavaScript testing Testing backend integration points Test-driven development REPL-driven development A complete test automation scenario Summary Chapter 7: Deploying the Code Why are there so many deployment systems? Virtualization stacks Executing code on the client The Puppet master and Puppet agents Ansible PalletOps Deploying with Chef Deploying with SaltStack Salt versus Ansible versus Puppet versus PalletOps execution models Vagrant Deploying with Docker Comparison tables Cloud solutions AWS Azure Summary Chapter 8: Monitoring the Code Nagios Munin Ganglia Graphite Log handling Summary Chapter 9: Issue Tracking What are issue trackers used for? Some examples of workflows and issues What do we need from an issue tracker? Problems with issue tracker proliferation All the trackers Summary Chapter 10: The Internet of Things and DevOps Introducing the IoT and DevOps The future of the IoT according to the market Machine-to-machine communication IoT deployment affects software architecture IoT deployment security Okay, but what about DevOps and the IoT again? A hands-on lab with an IoT device for DevOps Summary Module 2 Chapter 1: Basic Command Line Tools Introduction Controlling network interfaces Monitoring network details with the IP command Monitoring connections using the ss command Gathering basic OS statistics Viewing historical resource usage with SAR Installing and configuring a Git client Creating an SSH key for Git Using ssh-copy-id to copy keys Creating a new Git repository Cloning an existing Git repository Checking changes into a Git repository Pushing changes to a Git remote Creating a Git branch Chapter 2: Ad Hoc Tasks with Ansible Introduction Installing an Ansible control node on Ubuntu Installing an Ansible control node on CentOS Creating an Ansible inventory Using the raw module to install python-simplejson Installing packages with Ansible Restarting services using Ansible Executing freeform commands with Ansible Managing users with Ansible Managing SSH keys with Ansible Chapter 3: Automatic Host builds Introduction Creating an Apt mirror using aptly Automated installation using PXE boot and a Preseed file Automating post-installation tasks Chapter 4: Virtualization with VMware ESXi Introduction Installing ESXi Installing and using the vSphere Client Allowing SSH access to ESXi Creating a new guest Allocating resources to a guest Using the ESXi command line to start, stop, and destroy guests Managing command-line snapshots Tuning the host for guest performance Chapter 5: Automation with Ansible Introduction Installing Ansible Creating a scaffold Playbook Creating a common role Creating a webserver using Ansible and Nginx Creating an application server role using Tomcat and Ansible Installing MySQL using Ansible Installing and managing HAProxy with Ansible Using ServerSpec to test your Playbook Chapter 6: Containerization with Docker Introduction Installing Docker Pulling an image from the public Docker registry Performing basic Docker operations Running a container interactively Creating a Dockerfile Running a container in detached mode Saving and restoring a container Using the host only network Running a private Docker registry Managing images with a private registry Chapter 7: Using Jenkins for Continuous Deployment Introduction Installing Jenkins Installing the Git plugin Installing a Jenkins slave Creating your first Jenkins job Building Docker containers using Jenkins Deploying a Java application to Tomcat with zero downtime using Ansible Chapter 8: Metric Collection with InfluxDB Introduction Installing InfluxDB Creating a new InfluxDB database Logging events with the InfluxDB REST API Gathering host statistics with Telegraf Exploring data with the InfluxDB data explorer Installing Grafana Creating dashboards with Grafana Chapter 9: Log Management Introduction Centralizing logs with Syslog Using syslog templates Managing log rotation with the Logrotate utility Installing ElasticSearch, Logstash, and Kibana Importing logs into Elasticsearch with Logstash Using Kibana queries to explore data Using Kibana queries to examine data Chapter 10: Monitoring with Sensu Introduction Installing a Sensu server Installing a Sensu client Installing check prerequisites Finding community checks Adding a DNS check Adding a disk check Adding a RAM check Adding a process check Adding a CPU check Creating e-mail alerts Creating SMS alerts Using Ansible to install Sensu Chapter 11: IAAS with Amazon AWS Introduction Signing up for AWS Setting up IAM Creating your first security group Creating your first EC2 host Using Elastic Load Balancers Managing DNS with route53 Using Ansible to create EC2 hosts Chapter 12: Application Performance Monitoring with New Relic Introduction Signing up for a New Relic account Installing the New Relic Java agent Using the performance overview Locating performance bottlenecks with Transaction Traces Observing database performance with New Relic Release performance monitoring with New Relic Server Monitoring with New Relic Module 3 Chapter 1: Evolution of a Software House A brief history of ACME systems ACME systems version 1.0 ACME systems version 2.0 ACME systems version 3.0 ACME systems version 4.0 The evolution in a nutshell Summary Chapter 2: No Pain, No Gain Elephant in the room Defining the rules Including (almost) everyone Openness, transparency, and honesty The great elephant disclosure Summary Chapter 3: Plan of Attack Setting and communicating the goal and vision Standardizing vocabulary and language A business change project in its own right The merits of a dedicated team The importance of evangelism Courage and determination Understanding the cost Seeking advice from others Summary Chapter 4: Culture and Behaviors All roads lead to culture An open, honest, and safe environment Encouraging and embracing collaboration Fostering innovation and accountability at grass roots The blame culture Building trust-based relationships across organizational boundaries Rewarding good behaviors and success Recognizing dev and ops teams are incentivized can have an impact Embracing change and reducing risk Being transparent Summary Chapter 5: Approaches, Tools, and Techniques Engineering best practice How many environments are enough? Developing against a production-like environment CD tooling The cloud Monitoring When a simple manual process is also an effective tool Summary Chapter 6: Hurdles Along the Way What are the potential issues you need to look out for? Summary Chapter 7: Vital Measurements Measuring effective engineering best practice Measuring the real world Summary Chapter 8: Are We There Yet? Reflect on where you are now Streaming A victim of your own success [P]lan, [D]o, [C]heck, [A]djust Exit stage left Rest on your laurels (not) Summary Chapter 9: The Future is Bright Expanding your horizon Expanding beyond software delivery What about me? What have you learned? Summary Appendix A: Some Useful Information Tools People Recommended reading Appendix B: Where Am I on the Evolutionary Scale? Appendix C: Retrospective Games The timeline game StoStaKee Appendix D: Vital Measurements Expanded Code complexity – some science Code versus comments Embedding monitoring into your software Bibliography