He has trained and mentored thousands of software developers in the US, Canada, Europe, and Asia, and is a regularly-invited speaker at several international conferences. Venkat helps his clients effectively apply and succeed with sustainable agile practices on their software projects.
Venkat is a (co)author of multiple technical books, including the 2007 Jolt Productivity award winning book Practices of an Agile Developer. You can find a list of his books at agiledeveloper.com. You can reach him by email at venkats@agiledeveloper.com or on twitter at @venkat_s.
Architecture is not a static representation of a system. There are several complexities and risks involved in creating them. One way to mitigate the risk is to evolve the architecture. But, there are risks of evolving as much as there are the risks of not evolving. In this interactive workshop we will explore a set of practices that we can use to mitigate the risks. Then we will dive into discussing some common and popular architectural patterns.
Finally, we will take some example applications and discuss how to evolve architecture to meet the needs of those applications.
Multithreading has been in Java from day one but there is no such similar concept in the JavaScript world. Programmers using JavaScript have predominantly used asynchronous programming, callback, promises, and async-await. May be not too surprising, however, both the .NET platform/C# and the JVM/Java introduced asynchronous programming much later in their evolution. On the JVM we now have three options, multithreading APIs, CompletableFuture, and, soon to be released Virtual Threads (as part of Project Loom). In this keynote we will discuss the APIs of the present and the future.
We will then dive into the nature of the problems and the approaches to solutions where one particular API may be better suited than the other. We will tease apart the details of these APIs to improve clarity of what they provide and when and where we should use one over the other.
With the new release cadence, programmers can enjoy new features at a much faster rate. Java has been evolving rapidly, but in a responsible manner. While some of the new recent features in Java have been around in other languages for a while there are some coolness for them being introduced in Java. First, programmers who are maintaining large legacy systems can make use of these exciting features, right there in Java as they move forward to adopting newer versions. Second, Java brings its own twist and innovation to how these features are used in the language. Learning these is not only an exciting journey but can also make us more productive when writing Java code.
In this presentation we will take a live coding, example driven approach to look at a few features that have been added to Java in the most recent releases of the language.
Multithreading has been in Java from day one. The multithreading API has gone through significant changes over the years. And yet, we have something major that's threading again. What's the reason for yet another implementation, yet another change? How is that different from what we already have. When will we use the new model and when will we stick to the existing APIs.
Too many questions but we will not take them all in parallel. Instead we will give the questions serious thoughts and get a deeper understanding of the purpose of Project Loom, what problems it solves, and how and when we can benefit from it.
I like to call Reactive Programming as Functional Programming++. There is so much similarity between FP and Rx and yet there are some significant differences. In this hands on workshop we will dive into what Reactive Programming is, learn about the APIs and capabilities, using RxJava as a vehicle.
While the examples will use RxJava, the concepts are general enough that you can readily benefit from the content, like backpressure and error handling, even if you are using other reactive libraries.
I like to call Reactive Programming as Functional Programming++. There is so much similarity between FP and Rx and yet there are some significant differences. In this hands on workshop we will dive into what Reactive Programming is, learn about the APIs and capabilities, using RxJava as a vehicle.
While the examples will use RxJava, the concepts are general enough that you can readily benefit from the content, like backpressure and error handling, even if you are using other reactive libraries.
Asynchronous programming is gaining popularity due to the recent architectural changes and influences. Java's CompletableFuture is a different programming model than what we're used to. How do stages work and how can we leverage the APIs to implement non-blocking calls.
This presentation will walk you through the fundamentals of CompletableFuture and how to make use of it.
We all have seen our share of bad code and some really good code as well. What are some of the common anti patterns that seem to be recurring over and over in code that sucks? By learning about these code smells and avoiding them, we can greatly help make our code better.
Come to this talk to learn about some common code smell and to share your experiences as well.
Java 8 has been around for a few years and by now we all have immersed into the Streams API and the lambda expressions. But, what does it mean to program in functional style? How can we leverage the functional APIs to solve problems. How do we think in functional style when we have so much experience with imperative style. And flat…what and do they really mean we should honor immutability?
This presentation will answer those questions using practical examples so you can leverage the power of functional Java in your own applications.
Most of us, including your humble speaker, have been very used to imperative style. We all have read about functional programming, seen examples, and have even written code using that style. Yet, the journey to writing functional style seems rather unnatural often times. When refactoring existing code, we may be tempted to transform the code to functional style, but how do we approach that.
In this presentation we will take six different problems, all with unit tests, and refactor the working code from imperative to functional style. Along the way we will discuss the thought process, the approaches, the APIs that will help with that transformation of code.
Many developers around the world have jumped on the Microservices bandwagon. Several organizations, in the past and also in the present, have built around monolithic and also service oriented architectures. What separate, however, Microservices from those efforts at large? How does a Microservices based architecture influence the design of the software applications, what are the key design principles we should keep in mind, and how to leverage design goals like reuse and extensibility?
In this presentation we will revisit the design goals we often focus on in software development and how those evolve in the context of Microservices.
Continuous refactoring is critical to succeeding in projects and is an important part of sustainable agile development.
In this workshop, we will start by discussing how to approach refactoring, the essential steps we need to take, and look into how to incrementally improve the internal design of code to make it extensible, maintainable, and cost-effective to change. In addition to discussing the concepts, we will take several code examples from real projects, discuss the code smells and explore the refactoring techniques. Along the way, we will also dive into refactoring short code samples and measure the quality of code before and after refactoring.
Continuous refactoring is critical to succeeding in projects and is an important part of sustainable agile development.
In this workshop, we will start by discussing how to approach refactoring, the essential steps we need to take, and look into how to incrementally improve the internal design of code to make it extensible, maintainable, and cost-effective to change. In addition to discussing the concepts, we will take several code examples from real projects, discuss the code smells and explore the refactoring techniques. Along the way, we will also dive into refactoring short code samples and measure the quality of code before and after refactoring.
Debunk the myth that JavaScript is not easily testable. Whether you use Node.js, Express, MongoDB, jQuery, AngularJS, or directly manipulate the DOM, you can test-drive JavaScript. Learn the craft of writing meaningful, deterministic automated tests with Karma, Mocha, and Chai. Test asynchronous JavaScript, decouple and properly mock out dependencies, measure code coverage, and create lightweight modular designs of both server-side and client-side code. Your investment in writing tests will pay high dividends as you create code that's predictable and cost-effective to change.
Design and code JavaScript applications with automated tests. Writing meaningful tests is a skill that takes learning, some unlearning, and a lot of practice, and with this book, you'll hone that skill. Fire up the editor and get hands-on through practical exercises for effective automated testing and designing maintainable, modular code.
Start by learning when and why to do manual testing vs. automated verification. Focus tests on the important things, like the pre-conditions, the invariants, complex logic, and gnarly edge cases. Then begin to design asynchronous functions using automated tests. Carefully decouple and mock out intricate dependencies such as the DOM, geolocation API, file and database access, and Ajax calls to remote servers.
Step by step, test code that uses Node.js, Express, MongoDB, jQuery, and AngularJS. Know when and how to use tools such as Chai, Istanbul, Karma, Mocha, Protractor, and Sinon. Create tests with minimum effort and run them fast without having to spin up web servers or manually edit HTML pages to run in browsers. Then explore end-to-end testing to ensure all parts are wired and working well together.
Don't just imagine creating testable code, write it.
What You Need:
A computer with a text editor and your favorite browser. The book provides instructions to install the necessary automated testing-related tools.
Our industry is moving toward functional programming, but your object-oriented experience is still valuable. Scala combines the power of OO and functional programming, and Pragmatic Scala shows you how to work effectively with both. Updated to Scala 2.11, with in-depth coverage of new features such as Akka actors, parallel collections, and tail call optimization, this book will show you how to create stellar applications.
This thorough introduction to Scala will get you coding in this powerful language right away. You'll start from the familiar ground of Java and, with easy-to-follow examples, you'll learn how to create highly concise and expressive applications with Scala. You'll find out when and how to mix both imperative and functional style, and how to use parallel collections and Akka actors to create high-performance concurrent applications that effectively use multicore processors.
Scala has evolved since the first edition of this book, and Pragmatic Scala is a significant update. We've revised each chapter, and added three new chapters and six new sections to explore the new features in Scala. You'll learn how to:
Safely manage concurrency with parallel collections and Akka actors
Create expressive readable code with value classes and improved implicit conversions
Create strings from data with no sweat using string interpolation
Create domain-specific languages
* Optimize your recursions with tail call optimization
Whether you're interested in creating concise, robust single-threaded applications or highly expressive, thread-safe concurrent programs, this book has you covered.
What You Need:
The Scala compiler (2.x) and the JDK are required to make use of the concepts and the examples in this book.
Intermediate level, for programmers fairly familiar with Java, but new to the functional style of programming and lambda expressions.
Get ready to program in a whole new way. Functional Programming in Java will help you quickly get on top of the new, essential Java 8 language features and the functional style that will change and improve your code. This short, targeted book will help you make the paradigm shift from the old imperative way to a less error-prone, more elegant, and concise coding style that's also a breeze to parallelize. You'll explore the syntax and semantics of lambda expressions, method and constructor references, and functional interfaces. You'll design and write applications better using the new standards in Java 8 and the JDK.
Lambda expressions are lightweight, highly concise anonymous methods backed by functional interfaces in Java 8. You can use them to leap forward into a whole new world of programming in Java. With functional programming capabilities, which have been around for decades in other languages, you can now write elegant, concise, less error-prone code using standard Java. This book will guide you though the paradigm change, offer the essential details about the new features, and show you how to transition from your old way of coding to an improved style.
In this book you'll see popular design patterns, such as decorator, builder, and strategy, come to life to solve common design problems, but with little ceremony and effort. With these new capabilities in hand, Functional Programming in Java will help you pick up techniques to implement designs that were beyond easy reach in earlier versions of Java. You'll see how you can reap the benefits of tail call optimization, memoization, and effortless parallelization techniques.
Java 8 will change the way you write applications. If you're eager to take advantage of the new features in the language, this is the book for you.
What you need:
Java 8 with support for lambda expressions and the JDK is required to make use of the concepts and the examples in this book.
Groovy brings you the best of both worlds: a flexible, highly productive, agile, dynamic language that runs on the rich framework of the Java Platform. Groovy preserves the Java semantics and extends the JDK to give you true dynamic language capabilities. Programming Groovy 2 will help you, the experienced Java developer, learn and take advantage of the latest version of this rich dynamic language. You'll go from the basics of Groovy to the latest advances in the language, including options for type checking, tail-call and memoization optimizations, compile time metaprogramming, and fluent interfaces to create DSLs.
You don't have to leave the rich Java Platform to take advantage of Groovy. Groovy preserves Java's semantics and extends the JDK, so programming in Groovy feels like the Java language has been augmented; it's like working with a lighter, more elegant Java. If you're an experienced Java developer who wants to learn how Groovy works, you'll find exactly what you need in this book.
You'll start with the fundamentals of programming in Groovy and how it works with Java, and then you'll explore advanced concepts such as unit testing with mock objects, using Builders, working with databases and XML, and creating DSLs. You'll master Groovy's powerful yet complex run-time and compile-time metaprogramming features.
Much has evolved in the Groovy language since the publication of the first edition of Programming Groovy. Programming Groovy 2 will help you learn and apply Groovy's new features. Creating DSLs is easier now, and Groovy's already-powerful metaprogramming facilities have improved even more. You'll see how to work with closures, including tail call optimization and memoization. The book also covers Groovy's new static compilation feature.
Whether you're learning the basics of the language or interested in getting proficient with the new features, Programming Groovy 2 has you covered.
What You Need
To work on the examples in the book you need Groovy 2.0.5 and Java JDK 5 or higher.
More than ever, learning to program concurrency is critical to creating faster, responsive applications. Speedy and affordable multicore hardware is driving the demand for high-performing applications, and you can leverage the Java platform to bring these applications to life.
Concurrency on the Java platform has evolved, from the synchronization model of JDK to software transactional memory (STM) and actor-based concurrency. This book is the first to show you all these concurrency styles so you can compare and choose what works best for your applications. You'll learn the benefits of each of these models, when and how to use them, and what their limitations are.
Through hands-on exercises, you'll learn how to avoid shared mutable state and how to write good, elegant, explicit synchronization-free programs so you can create easy and safe concurrent applications. The techniques you learn in this book will take you from dreading concurrency to mastering and enjoying it. Best of all, you can work with Java or a JVM language of your choice - Clojure, JRuby, Groovy, or Scala - to reap the growing power of multicore hardware.
If you are a Java programmer, you'd need JDK 1.5 or later and the Akka 1.0 library. In addition, if you program in Scala, Clojure, Groovy or JRuby you'd need the latest version of your preferred language. Groovy programmers will also need GPars.
These are the proven, effective agile practices that will make you a better developer. You'll learn pragmatic ways of approaching the development process and your personal coding techniques. You'll learn about your own attitudes, issues with working on a team, and how to best manage your learning, all in an iterative, incremental, agile style. You'll see how to apply each practice, and what benefits you can expect. Bottom line: This book will make you a better developer.
Like most complex tasks, .NET programming is fraught with potential costly, and time-consuming hazards. The millions of Microsoft developers worldwide who create applications for the .NET platform can attest to that. Thankfully there's now a book that shows you how to avoid such costly and time-consuming mistakes. It's called .NET Gotchas.The ultimate guide for efficient, pain-free coding, .NET Gotchas from O'Reilly contains 75 common .NET programming pitfalls--and advice on how to work around them. It will help you steer away from those mistakes that cause application performance problems, or so taint code that it just doesn't work right.The book is organized into nine chapters, each focusing on those features and constructs of the .NET platform that consistently baffle developers. Within each chapter are several "gotchas," with detailed examples, discussions, and guidelines for avoiding them. No doubt about it, when applied, these concise presentations of best practices will help you lead a more productive, stress-free existence.What's more, because code examples are written in both VB.NET and C#, .NET Gotchas is of interest to more than 75 percent of the growing numbers of .NET programmers. So if you're a .NET developer who's mired in the trenches and yearning for a better way, this book is most definitely for you.