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.
- Scalable Microservice Demo K8s Istio Kafka. In this post, the author shows a very “cool” example of how one can auto-scale applications in Kubernetes, using a Horizontal Pod Autoscaler, (HPA), and Istio.
- Deploying ML Models in Distributed Real-time Data Streaming Applications. This post explores the various strategies to deploy ML models in Apache Flink/Spark or other realtime data streaming applications.
- Sharpening your Stream Processing Skills with Kafka Tutorials. In the post linked to, the author discusses the various ways we can process streams in the Kafka eco-system and points us to the Kafka Tutorials site, where we can learn about various aspects of building applications with Kafka.
WIND (What Is Niels Doing)
The last few weeks, I have been somewhat lazy, (OK then, very lazy), and I have not posted much about SQL Server 2019 Big Data Cluster or SQL Server Extensibility framework.
That is changing now. I am working on a post about SQL Server 2019 BDC, which is based on the conference talks I have given about the BDC.
I am also doing some cool “stuff” regarding the Extensibility Framework, but at this point, I am not allowed to say what it is. But if you are interested, watch this space!
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.