Event Driven 2.0
In the future, data will be as automated and self-service as infrastructure is today. You’ll open a console that lists the data available in your company; define the pieces you […]
In the future, data will be as automated and self-service as infrastructure is today. You’ll open a console that lists the data available in your company; define the pieces you […]
Apache Kafka and Apache Mesos are very well-known and successful Apache projects. A lot has happened in these projects since Confluent’s last blog post on the topic in July 2015. […]
Bobby Calderwood is a Distinguished Engineer at Capital One, where he influences the technical direction of Capital One and engages the broader community via speaking and open-source contributions. In the […]
Today, we invariably operate in ecosystems: groups of applications and services which together work towards some higher level business goal. When we make these systems event-driven they come with a […]
When you build microservices using Apache Kafka®, the log can be used as more than just a communication protocol. It can be used to store events: messaging that remembers. This […]
This post discusses Event Sourcing in the context of Apache Kafka®, examining the need for a single source of truth that spans entire service estates. Events are Truth One of […]
This fourth post in the microservices series looks at how we can sew together complex chains of services, efficiently, and accurately, using Apache Kafka’s Exactly-Once guarantees. Duplicates, Duplicates Everywhere Any […]
The last post in this microservices series looked at building systems on a backbone of events, where events become both a trigger as well as a mechanism for distributing state. […]
For many, microservices are built on a protocol of requests and responses. REST etc. This approach is very natural. It is after all the way we write programs: we make […]
If you were to stumble upon the whole microservices thing, without any prior context, you’d be forgiven for thinking it a little strange. Taking an application and splitting it into fragments, […]
