Elasticsearch Performance Basics Made Easy
How to Win at Machine Learning
How do you build a fast, reliable Elasticsearch cluster? Use a recent version. Get your topology basics right: 2n+1 master nodes. Use standalone, master, data, query and ingest nodes appropriately. Use available RAM wisely. Disable or minimize swapping. Use an appropriate number of shards (hint: 1 is probably a good default).
We have a new tool to run (most of) these checks for you: www.elasticsearchmadeeasy.com
Elasticsearch for the Uninitiated
What does any CTO, tech architect, or product owner need to know in order to make their first machine learning project a success? Realistic expectations, a sound and methodical approach, enough time and resources to complete the project, plus some key skills in your team.
Parallelizing A ClojureScript Test Suite, Part 1: The Guts of cljs.test
We take a look at Elasticsearch, how it started, what people have been doing with it, what makes Elasticsearch great, and what it can do for you.
¡VIVA LA REMOTE REVOLUCION!
This is the first article in a series, describing an opt-in method to add parallel execution to an existing CLJS test suite. This article explains the general approach for adding parallelism with a minimum of fuss to our Clojurescript tests, takes a tour of cljs.test internals, and digs into some of the key abstractions we will extend in future articles to complete our "holy grail" of parallelized CLJS unit tests.
Lightning-Fast Testing For ClojureScript React Components
Once upon a time, it was important to have developers, designers, and database administrators all in one place. That time is no more. ¡VIVA LA REMOTE REVOLUCION!
Here's a riddle: where should you unit test your React based ClojureScript components?