You hear it a lot: DevOps is not just about tools, but also about changing company culture. But just how does an organization firmly rooted in traditional software development go about making that change? This in-depth report shows how two large organizations, Nordstrom and Texas.gov, moved from long-established software development models to the collaborative style DevOps embodies.

As remarkable as Docker containers are, they still need to be heavily scheduled and orchestrated to run efficiently, and seamlessly replaced and re-balanced when they fail. It’s a big job, well beyond the abilities of Chef, Puppet, and similar tools. This O’Reilly report introduces you to Kubernetes, a cluster management system from Google that’s capable of scheduling and launching roughly 7,000 containers a second.

Java SE 8 is perhaps the largest change to Java in its history, led by its flagship feature—lambda expressions. If you’re an experienced developer looking to adopt Java 8 at work, this short guide will walk you through all of the major changes before taking a deep dive into lambda expressions and Java 8’s other big feature: the Streams API.

Learn the technology options, engineering best practices, and leadership skills needed to build a solid foundation in software architecture.

Based on talks given at recent Strata + Hadoop World events, this detailed report explains how Capital One, MasterCard Advisors, and FINRA tackled major data projects with help from technology leaders such as Cloudera and Intel.

Using several case studies, Kleppmann explains how these projects can help you reorient your database architecture around streams and materialized views. The benefits of this approach include better data quality, faster queries through precomputed caches, and real-time user interfaces. Learn how to open up your data for richer analysis and make your applications more scalable and robust in the face of failures.

Machine learning is no longer just a tool for data scientists. By taking advantage of recent advances in this technology, UI and UX designers can find ways to better engage with and understand their users. This O’Reilly report not only introduces you to contemporary machine learning systems, but also provides a conceptual framework to help you integrate machine-learning capabilities into your user-facing designs. Using tangible, real-world examples, author Patrick Hebron explains how machine-learning applications can affect the way you design websites, mobile applications, and other software. You’ll learn how recent advancements in machine learning can radically enhance software capabilities through natural language processing, image recognition, content personalization, and behavior prediction.

Data science today is a lot like the Wild West: there’s endless opportunity and excitement, but also a lot of chaos and confusion. If you’re new to data science and applied machine learning, evaluating a machine-learning model can seem pretty overwhelming. Now you have help. With this O’Reilly report, machine-learning expert Alice Zheng takes you through the model evaluation basics.

The new HTTP/2 standard is finally here. Approved earlier this year, HTTP/2 adds a new binary framing layer that will help make applications faster, simpler, and more robust. This chapter from the new release of High Performance Browser Networking provides a brief look at this updated protocol and explains how it will reduce latency, minimize protocol overhead, and add support for request prioritization and server push.

The success of any application or system depends on the architecture pattern you use. By describing the overall characteristics of the architecture, these patterns not only guide designers and developers on how to design components, but also determine the ways in which those components should interact.