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.
- .NET Core Worker Service as Windows Service or Linux Daemons. This post discusses a new .NET Core 3 application template called “Worker Service”. The template makes it easy to write Windows Services or Linux Daemons.
- JSON in your Azure SQL Database? Let’s benchmark some options!. This Microsoft post discusses and benchmarks options on how to handle JSON in SQL Server.
- Optimize OLTP Performance with SQL Server on Azure VM. This article shares recommendations on how to optimize SQL Server performance on Azure VMs. The article is based on performance testing with a somewhat scaled-down TPC-E benchmark.
- Skipping bad records with the Kafka Connect JDBC sink connector. This post by the Kafka guru Robin Moffat discusses how to handle bad records when using the JDBC sink connector in Kafka Connect. Very interesting!
- KCACHE: AN IN-MEMORY CACHE BACKED BY KAFKA. This post details how you can have an in-memory cache backed by Kafka. Excellent!
- Using Kafka Connect and Debezium with Confluent Cloud. This is yet another awesome post by Robin. One where he discusses how you can use Debezium together with Confluent Cloud.
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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