Ruby 2.5 was released a few days ago. Among the new features,
Structs gained the ability to be instantiated with using keyword arguments.
Pat Shaughnessy writes a great 5 part series on using tree structures inside Postgres to store hierarchical data. In this first post he covers on why using a tree structure makes sense. In later parts he will cover the basics of the LTREE extension, how to install and use it and how it hooks into the Postgres internals.
Brave New Geek writes the first part of a promised series on building a distributed log from scratch. in this post he focuses on storage mechanics. If you interested in why using a log is a good abstraction for distributed systems, see the referenced article The Log: What every software engineer should know about real-time data’s unifying abstraction.
Mikito Takada writes a short e-book about distributed systems at a high level, covering scalability, availability, performance, latency and fault tolerance. The implications of different levels of abstractions, time and ordering and different modes of replication are part of the fun. Warning: After reading you might find yourself going down the rabbit hole resaearching Vector Clocks and CRDTs (convergent replicated data types). See you there.
In this article, @brandur writes about the unified log concept and how to use Redis streams (coming soon) to build a foundation for a unified log. He covers what a unified log is good for, compares it to Kafka and provides code examples that tie everything together. This is great quality writing. I highly recommend you read the other articles on his blog. They are worth it.
This articles provides some perspective about CLIs vs GUIs. The author makes a convincing argument, that CLIs make the interaction with the computer clearer, because they are more visible. This brings easier interaction because of the ability of copy, pasting, editing and so on.
Brendan Gregg breaks that the implications of having a brilliant at engineering team member that is also a jerk. He breaks down the jerkiness into selfless and selfish. The post is thorough and found myself nodding along to many of the described behaviors and the problems that they cause.
Sooner or later every software engineer runs into issues with floating point arithmetic precision. Fabien Sanglard explains how floating point numbers are stored and how the approximate real numbers. The post talks specifically about numbers in C, but the lesson is applicable generally.
Martin Nally covers the ins and outs of using human-readable names or ids in URLs. Both have their place, even in the same systems.
Ruby 2.5 is expected to be released this Christmas, like it always does. Here are a few new features that will be included. There are no major changes. The language is relatively mature now and the core teams seems to be focused on performance improvements.
On my day-to-day software engineering tasks, I sometimes have the need to pass the file or selection through another program and replace it with the output. The uncomfortable workflow on my Mac is: