Rene Weiss takes a deep dive into how evolutionary architectures and fitness functions help the ongoing development of software systems. You'll see practical applications of fitness functions beyond theoretical ideas and hands-on examples of tools to craft fitness functions and use them in CI/CD pipelines as well as get ideas on how to do safe experiments in production environments.

Ho-Ming Li outlines how to use chaos engineering to accelerate your understanding of how your network can break (packet loss, black hole attacks, latency injection, and packet corruption) and impact your services.

Once restricted to companies like Netflix, chaos engineering is becoming a common practice in organizations of all sizes. Paul Osman outlines techniques Under Armour uses to measure service health with chaos engineering. He details its operational maturity model and how the company uses it to blamelessly identify teams that need additional help and action items to improve resiliency and happiness.

Anti-patterns are behaviors that take bad problems and lead to even worse solutions. In the world of data security and privacy, theyre everywhere. Over the past four years, data security and privacy anti-patterns have emerged across hundreds of customers and industry verticalsthere's been an obvious trend. Steven Touw details five anti-patterns and, more importantly, the solutions for them.

Would you cross the street with traffic information that's a minute old? Certainly not. Modern businesses have the same needs. Michael Noll explores why and how you can use Kafka and its growing ecosystem to build elastic event-driven architectures. Specifically, you look at Kafka as the storage layer, at Kafka Connect for data integration, and at Kafka Streams and KSQL as the compute layer.

Service mesh has hit the cloud-native computing community like.a storm and we're starting to see gradual adoption across the enterprise. There are a handful of open-source service mesh implementations …

The Open Policy Agent (OPA) is an open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. OPA is already used in production by Netfli …

For many years, the main goal of the Netflix recommendation system has been to get the right titles in front of each member at the right time. Tony Jebara details the approaches Netflix uses to recommend titles to users and discusses how the company is working on integrating causality and fairness into many of its machine learning and personalization systems.

Kamil Bajda-Pawlikowski and Martin Traverso explore Presto's recently introduced cost-based optimizer, which must account for heterogeneous inputs with differing and often incomplete data statistics, and detail use cases for Presto across several industries. They also share recent Presto advancements, such as geospatial analytics at scale, and the project roadmap going forward.

The Netflix data platform is a massive-scale, cloud-only suite of tools and technologies. It includes big data tech (Spark and Flink), enabling services (federated metadata management), and machine learning support. But with power comes complexity. Kurt Brown explains how Netflix is working toward an easier, "self-service" data platform without sacrificing any enabling capabilities.

So you think you can test your complex distributed application effectively just using your test environment? At Netflix, automated testing of client and server applications runs at scale in production. It has quickly gone from low-volume manual mode to automated continuous and voluminous mode. Vasanth Asokan offers a study of such testing at scale that will inform your overall testing strategy.

Matt McLarty introduces Microservice-Based Enterprise Transformation Architecture (META), a holistic approach organizations can use to ensure their microservices migration delivers its intended benefits. META addresses the technological, operational, methodological, and cultural aspects of the migration effort. Along the way, you'll explore the Microservice Design Canvas and other artifacts.

Agile practices and techniques like continuous delivery are all about being able to react to changes rapidly, but putting them into practice when you have a big monolith application can be difficult. Microservices offer one solution. Maria Gomez shows you how to move from a monolith to microservices by applying domain-driven design principles.

Traditional TV players are facing huge challenges from the rapid growth of emerging video services such as Netflix, Amazon Prime and YouTube TV. TV service providers must modernize and accelerate the …

The Open Policy Agent (OPA) is a general-purpose policy engine that enables fine-grained, context-aware policy enforcement across the stack. OPA is used in production by companies like Netflix, Intuit …