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
- 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.
- How to Develop and Debug ASP.NET Core Applications in Kubernetes. This is an interesting post looking at developing ASP.NET Core applications for Kubernetes using a tool/framework called Okteto.
- Mock APIs vs. Real Backends – Getting the Best of Both Worlds. The post linked to here from the Confluent discusses whether to mock or not and if you can do both.
- How Netflix uses Druid for Real-time Insights to Ensure a High-Quality Experience. A few years ago we looked at Druid in Derivco and evaluated if we could use it. Nothing came out of it, but from reading this post, maybe we should look again.
- Architecture for High-Throughput Low-Latency Big Data Pipeline on Cloud. Don’t let the title of this post fool you; this is not cloud specific. The post discusses tools and techniques for building data pipelines for Big Data.
- Kafka Needs No Keeper. In this InfoQ presentation, the presenter talks about the ongoing effort to replace the use of Zookeeper in Kafka: the reasons for why it should be done and how it will work.
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.
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