Interesting Stuff - Week 17

Throughout the week, I read a lot of blog-posts, articles, and so forth, that has to do with things that interest me:

This blog-post is the “roundup” of the things that have been most interesting to me, for the week just ending.

Distributed Computing

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.

I am busy writing a post correcting some errors I did in the last post (sp_execute_external_script - III) in the SQL Server R Services series. I hope to publish it in a week or so.

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.