Throughout the week, I read a lot of blog-posts, articles, and so forth, that has to do with things that interest me:
- data science
- data in general
- distributed computing
- Kafka, Kafka, and Kafka
- SQL Server
- transactions (both db as well as non db)
- and other “stuff”
This blog-post is the “roundup” of the things that have been most interesting to me, for the week just ending.
- Introduction to Kraken, a Chaos Tool for OpenShift/Kubernetes. As the title of this post says, it introduces a Kubernetes tool which by you can chaos test your Kubernetes cluster. It looks quite interesting and useful, and I have forwarded the post to the guys at Derivco looking at Kubernetes.
- Building a Lambda Architecture with Druid and Kafka Streams. The post linked to here looks at how to use Druid together with KStreams to build a real-time analytical framework. Really interesting “stuff”!
- How Real-Time Materialized Views Work with ksqlDB, Animated. The post delivers precisely what the title says: it looks at how materialized views work in ksqlDB. I really like the animations in the post, very cool!
- Real Time APIs in the Context of Apache Kafka. This InfoQ article by the Kafka Guru Robin Moffat looks at how events together with real-time APIs can be used as the foundation for applications which are flexible yet performant; loosely-coupled yet efficient. Apache Kafka offers a scalable event streaming platform with which you can build applications around the powerful concept of events.
- Top 5 Things Every Kafka Developer Should Know. I believe that a developer, to be a good developer, should have an in-depth knowledge of the technologies he/she is working with. If you are using Kafka, then the post linked to here gives you a good start in understanding Kafka.
That’s all for this week. I hope you enjoy what I did put together. If you have ideas for what to cover, please comment on this post or ping me.