Here are 36 books that Release It! fans have personally recommended if you like
Release It!.
Shepherd is a community of 11,000+ authors and super readers sharing their favorite books with the world.
Shepherd is reader supported. When you buy books, we may earn an affiliate commission.
My passion for developing production-ready, cooperating microservices began in 2008 when I first started assisting customers in creating distributed systems—long before the term “microservices” was coined. During that time, I faced significant challenges, including grappling with the “Eight Fallacies of Distributed Computing”. Since then, I’ve dedicated most of my career to deepening my understanding of these complexities and finding ways to address them through robust architecture, design patterns, and the right tools.
Kubernetes is the go-to tool for orchestrating a landscape of cooperating microservices, making it a crucial skill to master.
This book guided me through Kubernetes, from the basics, such as pods, services, and deployments, to more advanced topics, like its inner workings and auto-scaling resources. What I particularly appreciate is the balance between theory and practical examples, reinforced by exercises with GitHub-hosted source code, which I also found helpful as a starting point for building real-world applications.
With Kubernetes, users don't have to worry about which specific machine in their data center their application is running on. Each layer in their application is decoupled from other layers so they can scale, update, and maintain them independently.
Kubernetes in Action teaches developers how to use Kubernetes to deploy self-healing scalable distributed applications. By the end, readers will be able to build and deploy applications in a proper way to take full advantage of the Kubernetes platform.
My passion for developing production-ready, cooperating microservices began in 2008 when I first started assisting customers in creating distributed systems—long before the term “microservices” was coined. During that time, I faced significant challenges, including grappling with the “Eight Fallacies of Distributed Computing”. Since then, I’ve dedicated most of my career to deepening my understanding of these complexities and finding ways to address them through robust architecture, design patterns, and the right tools.
Apache Kafka is the industry standard for real-time event streaming, an essential component for large-scale, high-performance microservice ecosystems.
Despite being new to Kafka when I read this book, it quickly brought me up to speed on key concepts that underpin its scalability and real-time capabilities, such as the commit log, topic partitions, and consumer groups. The book also introduces other critical Kafka features like the schema registry, Kafka Connect, and stream processing with Kafka Streams and ksqlDB. The practical examples provided were straightforward to apply and adapt to my own use cases.
Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more.
In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue.
My passion for developing production-ready, cooperating microservices began in 2008 when I first started assisting customers in creating distributed systems—long before the term “microservices” was coined. During that time, I faced significant challenges, including grappling with the “Eight Fallacies of Distributed Computing”. Since then, I’ve dedicated most of my career to deepening my understanding of these complexities and finding ways to address them through robust architecture, design patterns, and the right tools.
Understanding how requests and messages traverse a large microservice landscape is notoriously challenging. The CNCF OpenTelemetry framework standardizes how to collect and observe telemetry data (metrics, logs, and traces).
This book was invaluable in helping me grasp OpenTelemetry’s core concepts and architecture, including collectors and exporters, and how to instrument applications effectively. It also helped me understand how distributed tracing data is structured into traces and spans and how to propagate context information between cooperating microservices.
OpenTelemetry is a revolution in observability data. Instead of running multiple uncoordinated pipelines, OpenTelemetry provides users with a single integrated stream of data, providing multiple sources of high-quality telemetry data: tracing, metrics, logs, RUM, eBPF, and more. This practical guide shows you how to set up, operate, and troubleshoot the OpenTelemetry observability system.
Authors Austin Parker, head of developer relations at Lightstep and OpenTelemetry Community Maintainer, and Ted Young, cofounder of the OpenTelemetry project, cover every OpenTelemetry component, as well as observability best practices for many popular cloud, platform, and data services such as Kubernetes and AWS Lambda. You'll learn…
My passion for developing production-ready, cooperating microservices began in 2008 when I first started assisting customers in creating distributed systems—long before the term “microservices” was coined. During that time, I faced significant challenges, including grappling with the “Eight Fallacies of Distributed Computing”. Since then, I’ve dedicated most of my career to deepening my understanding of these complexities and finding ways to address them through robust architecture, design patterns, and the right tools.
No matter how advanced our tools for developing resilient and scalable microservices become, the million-dollar question remains: How do we effectively break up a monolith into microservices?
This book offers excellent guidance on this challenge. I found its starting point grounded in Domain-Driven Design and its concepts like Bounded Contexts and Aggregates particularly valuable. These concepts are key to mapping microservices to a real-world domain model. I also appreciate Sam’s advice, to begin with a few relatively large microservices aligned with Bounded Contexts and only break them into smaller services when there’s a clear business case for doing so.
How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman's extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.
With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You'll learn several tried and tested…
I have been coding for over 30 years. I’ve seen some miserable interfaces, and some large programs that collapse under their own weight. Software was, at one point, notorious for being late, over budget, and unreliable. These books have helped turn the corner on these failings, and I have found each of them very valuable in my day-to-day programming. While you can learn technique and even languages online, the kind of insight found in these books is rare and worth spending time and money on.
There are literally dozens of good books on unit testing, but I highly recommend reading at least one. Unit testing is one of the most important practices that a great many programmers do not do. It isn’t easy, once you get past tiny programs, but it is absolutely essential if you wish to create robust code. Without unit testing you fix one thing over here, and break it over there. With good unit testing you know that your program will be flexible and easily evolved.
Unit Testing: Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. You'll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing.
Unit Testing: Principles, Practices and Patterns is a practical guide to modern unit testing best practices. Microsoft MVP Vladimir Khorikov takes you hands-on with examples of the ideal unit test and unit testing practices, building your skills step by step on a solid foundation.
I’ve spent more than a decade working on infrastructure, from my early days at LinkedIn, where we had to do a massive DevOps transformation to save the company, to co-founding Gruntwork, where I had the opportunity to work with hundreds of companies on their software delivery practices. From all of this, I can say the following with certainty: the DevOps best practices that a handful of the top tech companies have figured out are not filtering down to the rest of the industry. This is making the entire software industry slower, less effective, and less secure—and I see it as my mission to fix that.
This is one of those books that changed how I thought about and approached software development. First, the book addressed the pain points that I had run into so often: the problems with infrequent, manual deployments, the outages caused by changing configuration rather than source code, the nightmare of merge conflicts that you get from long-lived feature branches, and so on.
Then, it showed how to flip the typical software development process on its head through CI / CD, changing the default from “our software is broken, and we need an integration and release process to get it working” to “our software is always working, and we can release it at any time.” Once I read it, I could never go back to the old way.
Getting software released to users is often a painful, risky, and time-consuming process.This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hours-sometimes even minutes-no matter what the size of a project or the complexity of its code base.
Jez Humble and David Farley begin by presenting the foundations of a rapid,…
I’m a professional software developer for more than 22 years now. I’ve used many programming languages, platforms, frameworks, etc. throughout my career. However, the only constant for me personally was the practice of Test-Driven Development. I’ve never stopped learning about the principles and practices behind it, and it paid huge dividends throughout my career. I’m very humbled and grateful to be able to learn from all those amazing people over the years, that I decided to write a book on the topic. Giving back some of the knowledge that I gathered about TDD throughout 18+ years.
I must admit that the first time I read this book, it completely didn’t resonate with me. Sure, I picked up a couple of very important concepts here and there. One of those concepts is the “Test Data Builder”. However, some of the techniques I completely rejected. It took me a couple of years to start opening up to the practices described in this book. After a second read, I came to the conclusion that this excellent work deserved more credit. That’s why I added it to this list. This book shaped my entire thinking around Outside-In TDD, which is a very important approach to guiding well-designed software systems.
"The authors of this book have led a revolution in the craft of programming by controlling the environment in which software grows." --Ward Cunningham
"At last, a book suffused with code that exposes the deep symbiosis between TDD and OOD. This one's a keeper." --Robert C. Martin
"If you want to be an expert in the state of the art in TDD, you need to understand the ideas in this book."--Michael Feathers
Test-Driven Development (TDD) is now an established technique for delivering better software faster. TDD is based on a simple idea: Write tests for your…
There is a scene in the 1960 movie adaptation of The Time Traveler by HG Wells where the protagonist goes rapidly into the future as he watches a whole city spin into existence around him. That’s how I feel about my career. I started in 1994 and have watched UX grow into an incredible field! I’ve run my own business since 2008 focused exclusively on qualitative research consulting while also doing all sorts of exciting thought leadership activities – from writing to speaking to creating a number of courses on LinkedIn Learning – and I love to build my UX network too! I live in Silver Spring, Maryland.
As a UX researcher, although I offer a variety of qualitative research services, usability testing is definitely the top research approach that I’m hired for.
As such, this book is the best deep dive into usability testing methods out there. Pretty much every aspect of usability testing is covered – from planning, to conducting the research to reporting out on findings.
I appreciate how it also presents variations on usability testing and find that this book gives me good ideas when having to best explain some nuance of usability testing to my clients.
Usability Testing Essentials presents a practical, step-by-step approach to learning the entire process of planning and conducting a usability test. It explains how to analyze and apply the results and what to do when confronted with budgetary and time restrictions. This is the ideal book for anyone involved in usability or user-centered design-from students to seasoned professionals.
Filled with new examples and case studies, Usability Testing Essentials, Second Edition is completely updated to reflect the latest approaches, tools and techniques needed to begin usability testing or to advance in this area.
I’m a professional software developer for more than 22 years now. I’ve used many programming languages, platforms, frameworks, etc. throughout my career. However, the only constant for me personally was the practice of Test-Driven Development. I’ve never stopped learning about the principles and practices behind it, and it paid huge dividends throughout my career. I’m very humbled and grateful to be able to learn from all those amazing people over the years, that I decided to write a book on the topic. Giving back some of the knowledge that I gathered about TDD throughout 18+ years.
This is the most complete and exhaustive reference book when it comes to test automation. It’s a massive book that’s got pretty much all bases covered: test patterns, test strategies, test smells, test practices, etc. … It’s all there. If you want to get a feel about what’s covered, check out the xUnit Test Patterns website. This book provides all the information to become an expert at all kinds of automated tests. It requires a lot of effort to process the content, but it’s definitely all worth it!
Software testing has received renewed attention with the widespread adoption of Extreme Programming and other agile methodologies. While testing does not directly improve the quality of software, the under-appreciated practice provides a timely and accurate measurement (a reality check) so that the reader knows whether any new action needs to be taken. Automated software testing is used to ensure that once the software works, it is not accidentally broken during subsequent software development or maintenance activities. This book describes patterns for writing automated tests using the XUnit family (e.g., JUnit and NUnit) of test automation frameworks. The author uses the…
Since I was a kid, I’ve been passionate about technology and had a clear vocation to work with computers. I’ve been a developer for more than 20 years now, spending half of them mainly in the Python environment, and I’ve always been interested in improving my skills. While it’s true that software development is a field that changes constantly and technology evolves at great speed, there are some elements that remain relatively unchanged and can be used to compound knowledge and ability. In particular, the elements that are closer to the human element, teamwork, coordination, etc. are quite stable over time.
While this is a Python-specific book, it’s a fantastic description of all the possibilities for testing with a powerful module like Pytest offers. Testing is one of the basic experiences for a programmer, as it should be included as a core part of the development process. Understanding all the different options available like mark groups of tests, parametric tests, building your own extensions, or test coverage, to name only a few details, expands the understanding of how to design better tests and run them more efficiently.
Do less work when testing your Python code, but be just as expressive, just as elegant, and just as readable. The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing for applications, packages, and libraries. This book shows you how. For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing…
