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.
- Enabling .NET Apps with Monitoring and Management Using Steeltoe. An InfoQ presentation discussing using the Steeltoe Management framework to enable a .NET application with performance monitoring, management diagnostic endpoints, and distributed tracing on PCF.
- From Bare-Metal To Kubernetes. A very interesting blog post which talks about going from a bare metal infrastructure to a highly scalable Kubernets infrastructure running in the cloud. If you are thinking about moving to Kubernetes, the post is well worth a read.
- Azure Cosmos DB: Microsoft’s Cloud-Born Globally Distributed Database. An excellent blog post by Murat where he discusses the workings of Azure Cosmos DB. This post is a must read if you are interested in the inner workings of Cosmos DB.
- Monitoring Data Replication in Multi-Datacenter Apache Kafka Deployments. A blog post which describes how to use Confluent Replicator and Confluent Control Center to monitor Kafka deployment and replication between multiple data centers.
SQL Server Machine Learning Services
- Installing R Packages in SQL Server Machine Learning Services - III. Six months after I posted the second post in the Install R Packages in SQL Server ML Services series I posted the third “episode”. In this post, we look at how to install R packages in SQL Server Machine Learning Services using the T-SQL DDL command
CREATE EXTERNAL LIBRARY.
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.