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.
- More Environments Will Not Make Things Easier. I found this blog-post - and Tyler’s excellent blog - by “accident” . In the post Tyler discusses microservices and the challenges we have in an enterprise with development environments. This is a topic close to my heart as we struggle with this at Derivco. Oh and BTW, when you read this post - do yourself a favour and browse the other posts on the site, they are worth their weight in gold!
- Titus, the Netflix container management platform, is now open source. A blog post announcing Netflix open sourcing its container management platform: Titus. From the post: Titus offers a convenient model for managing compute resources, allows developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools. Very interesting!
- Skyway: connecting managed heaps in distributed big data systems. In this post Adrian dissects a white paper about how to create a cluster of JVMs, and efficiently copy objects across remote heaps in the cluster.
- Concepts and Patterns for Streaming Services with Apache Kafka. Back in the Interesting Stuff - Week 12 post, I linked to a presentation by Ben Stopford discussing microservices and streaming using Kafka. It turns out Ben has authored a book about how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems. The link is for a free download of that book. I can warmly recommend the book!
- Kafka Summit London. The Kafka summit in London just ended. This post is to a page where you find links to the keynote presentations. They are well worth watching!
- Transfer Learning for Text using Deep Learning Virtual Machine (DLVM). A blog post which compares multiple Machine Reading Comprehension models with each other. For the model creation as well as the comparison, the Deep Learning Virtual Machine was used.
- MACHINE LEARNING YEARNING. This link is to a sign-up page for a book which Andrew NG, of deep learning fame, is in the process of writing.
SQL Server Machine Learning Services
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.