Successful DevOps means empowering teams. But you still have things you want all teams to do, and you need to balance the benefits of the right technologies against the costs of running multiple data stores, deployment platforms, languages, etc. Sarah Wells offers a brief overview of nudge theory and explores its possibilities for influencing disparate teams to do things for the common good.

Shirshanka Das and Yael Garten describe how LinkedIn redesigned its data analytics ecosystem in the face of a significant product rewrite, covering the infrastructure changes, such as client-side activity tracking, a unified reporting platform, and data virtualization techniques to simplify migration, that enable LinkedIn to roll out future product innovations with minimal downstream impact.

Watermarks are a system for measuring progress and completeness in out-of-order streaming systems and are utilized to emit correct results in a timely manner. Given the trend toward out-of-order processing in existing streaming systems, watermarks are an increasingly important tool when designing streaming pipelines. Slava Chernyak explains watermarks and explores real-world applications.

Watermarks are a system for measuring progress and completeness in out-of-order stream processing systems and are used to emit correct results in a timely way. Given the trend toward out-of-order processing in current streaming systems, understanding watermarks is an increasingly important skill. Slava Chernyak explains watermarks and demonstrates how to apply them using real-world cases.

GitHub hosts tens of millions of people collaborating on more than 20 million repositoriesan unprecedented treasure trove of data for software engineering researchers, companies, and project teams alike. Jeff McAffer, Georgios Gousios, and Kevin Lewis explore tools and techniques for sifting through terabytes of content, present key insights they discovered, and explain how you can follow suit.

Youve decided you need data scientists. You know who to hire. Now, what do you do with them? Yael Garten offers examples of how companies like LinkedIn use data to make business and product decisions. Yael reviews the spectrum of data science, and discusses the culture, process and tools needed to transform companies into data-driven organizations.

Building a real-time monitoring service that handles millions of custom events per second while satisfying complex rules, varied throughput requirements, and numerous dimensions simultaneously is a complex endeavor. Sumeet Singh and Mridul Jain explain how Yahoo approached these challenges with Apache Storm Trident, Kafka, HBase, and OpenTSDB and discuss the lessons learned along the way.

Angular 2 comes with new paradigms and features that make it a powerful tool for today's Web. Jeremy Wilken explains how to structure and build an Angular 2 app using TypeScript and ES6+. You'll get practical training on Angular 2 architecture as you learn how TypeScript can improve your applications and how ES6+ makes Angular 2 more approachable and easier to work with.

After you've built an application, written some unit tests, integrated a linter, and hooked up a CI system, what should you do next? Level up, as Ariya Hidayat explains how to track code coverage, leverage Docker for a consistent development platform, and implement cross-browser testing.

It's one thing to create a sample RESTful API using Node.js, but it's quite another to horizontally scale your architecture to hundreds of thousands of concurrent connections while trying to ensure redundancy and high availability. Volkan zelik shows what it takes to create real-life, scalable, highly available, and highly responsive Node.js applications.