* Installing Packer.
* Building images.
* Provisioning images.
* Integration with Configuration Management tools like Ansible, Chef and Puppet.
* Packer and Docker containers.
* Integrating and writing infrastructure tests.
* Building pipelines for Continuous Integration with Packer.
* Extending Packer.
James Turnbull is the author of numerous technical books about engineering and infrastructure and is a long-time member of the open source community.
James is currently CTO at Empatico, an education technology start-up in New York. He was previously CTO at Kickstarter, VP of Services at Docker Inc, VP of Engineering at Venmo and at Puppet Labs running Operations and Professional Services.
With examples based on the authors’ own extensive experience, this book shows how to define goals that directly address the needs of your organization, use improvement models appropriately, and devise a pragmatic action plan. In addition, it reveals valuable strategies for deploying organizational change, and delineates essential metrics for tracking your progress. Appendices provide examples of an action plan, a risk management plan, and a mini-assessment process.
You will learn how to
Scope and develop an improvement plan Identify and prioritize risks and mitigate anticipated difficulties Derive metrics that accurately measure progress toward business goals Sell your improvement program in house Initially target practitioners and teams most open to new approaches and techniques Stay focused on goals and problems Align the actions of managers and practitioners Delay major policy documents and edicts until solutions have been practiced and tested Use existing resources to speed deployment
Incorporate improvement models, such as SEI CMMISM for Services, into your improvement program
For those managers who are tired of chronic problems during service creation and delivery, constant new improvement schemes, and a lack of real progress, this easily digestible volume provides the real-world wisdom you need to realize positive change in your organization.
This book is aimed at developers and system administrators who wish to take on larger responsibilities and understand how the infrastructure that builds today's enterprises works. This book is also great for operations personnel who would like to better support developers. You do not need to have any previous knowledge of DevOps.What You Will LearnAppreciate the merits of DevOps and continuous delivery and see how DevOps supports the agile processUnderstand how all the systems fit together to form a larger wholeSet up and familiarize yourself with all the tools you need to be efficient with DevOpsDesign an application that is suitable for continuous deployment systems with Devops in mindStore and manage your code effectively using different options such as Git, Gerrit, and GitlabConfigure a job to build a sample CRUD applicationTest the code using automated regression testing with Jenkins SeleniumDeploy your code using tools such as Puppet, Ansible, Palletops, Chef, and VagrantMonitor the health of your code with Nagios, Munin, and GraphiteExplore the workings of Trac—a tool used for issue trackingIn Detail
DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.
After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you'll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it's running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processesStyle and approach
This book is primarily a technical guide to DevOps with practical examples suitable for people who like to learn by implementing concrete working code. It starts out with background information and gradually delves deeper into technical subjects.
Network programming has always been a demanding task. With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be.
Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web. You will utilize Python for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking. You will cover the connection of networking devices and configuration using Python 3.7, along with cloud-based network management tasks using Python.
As the book progresses, socket programming will be covered, followed by how to design servers, and the pros and cons of multithreaded and event-driven architectures. You'll develop practical clientside applications, including web API clients, email clients, SSH, and FTP. These applications will also be implemented through existing web application frameworks.What you will learnExecute Python modules on networking toolsAutomate tasks regarding the analysis and extraction of information from a networkGet to grips with asynchronous programming modules available in PythonGet to grips with IP address manipulation modules using Python programmingUnderstand the main frameworks available in Python that are focused on web applicationManipulate IP addresses and perform CIDR calculationsWho this book is for
If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. If you're a network engineer or a network professional aiming to be more productive and efficient in networking programmability and automation then this book would serve as a useful resource. Basic knowledge of Python is assumed.
Author Jeff Patton shows you how changeable story maps enable your team to hold better conversations about the project throughout the development process. Your team will learn to come away with a shared understanding of what you’re attempting to build and why.Get a high-level view of story mapping, with an exercise to learn key concepts quicklyUnderstand how stories really work, and how they come to life in Agile and Lean projectsDive into a story’s lifecycle, starting with opportunities and moving deeper into discoveryPrepare your stories, pay attention while they’re built, and learn from those you convert to working software
Updated for Terraform 0.11!
In the book we'll deliver:
* An introduction to monitoring, metrics and measurement.
* A scalable framework for monitoring hosts (including Docker and containers), services and applications built on top of the Riemann event stream processor.
* Graphing and metric storage using Graphite and Grafana.
* Logging with Logstash.
* A framework for high quality and useful notifications
* Techniques for developing and building monitorable applications
* A capstone that puts all the pieces together to monitor a multi-tier application.