Why should you use event sourcing as a data storage and retrieval technique? What are the implications? When should you use platforms versus frameworks? InfoQ interviewed two experts to learn more.

At QCon NY, Shriya Arora presented “Personalising Netflix with Streaming Datasets” and discussed a migration of a data processing job from batch-style ETL to stream processing using Apache Flink.

To successfully design for, implement, and run applications on Kubernetes requires knowledge of primitives, and awareness of design principles and practices. This article provides an overview. 1

This article, following on from the Culture and Methods piece we published last week, provides a summary of how we currently see the operations space, which for us is mainly DevOps and cloud. 3

At QCon SF 2016, Frances Perry and Tyler Akidau presented “Fundamentals of Stream Processing with Apache Beam”, and discussed Google's Dataflow model and associated implementation of Apache Beam.

At QCon San Francisco 2016, Neha Narkhede presented “ETL is Dead; Long Live Streams”, and discussed the changing landscape of enterprise data processing. 5

As a short introduction to the topic and to debunk some myths, here are five things that every software developer should know about software architecture. 5

Although domain events can decrease coupling within a microservice architecture, we must avoid the mistakes of SOA: no centralised control, and workflow engines must be less painful to use and operate 7

In this article, we describe an example real world application of API monitoring which gets benefit by using approximate stream processing.

The eleventh annual QCon San Francisco was the biggest yet, bringing together over 1,800 team leads, architects, project managers, and engineering directors. 1