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.
- Anatomy of Cascading Failure. In the InfoQ article linked to here, the author discusses what a cascading failure is, and some anti-patterns around cascading failures. If you work with distributed systems, then you should really read this article.
- Monolith to Event-Driven Microservices with Apache Kafka. The post in the link talks about the advantages of event-driven systems, and how one can gradually evolve to an event-driven system from a monolith.
- The Kongo Problem: Building a Scalable IoT Application with Apache Kafka. This InfoQ article discusses scalability and Kafka. The article is based on a series of blog posts, where the first post is here.
WIND (What Is Niels Doing)
Next week I am doing two more:
- Data Virtualization in SQL Server 2019 Big Data Cluster. Where we look at how we do data virtualization in SQL Server 2019 Big Data Cluster.
- Deep Dives into the Storage and Data Pools in SQL Server 2019 Big Data Cluster. A closer look at the storage and data pools in SQL Server 2019 Big Data Cluster.
The webinars are free, so if you have time, register and join the fun! Notice that the times in the links above are Indian Standard Time, so 3 pm IST is 09:30 am, UTC.
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.