An Elasticsearch Tutorial for .NET Developers
Elasticsearch is one of the most powerful full-text search engine solutions out there. Using the NEST package, you can easily leverage the power of Elasticsearch in your .NET projects.
In this article, Toptal Freelance Software Engineer Ivan Cesar shows how Elasticsearch can solve real-world full-text search problems in your .NET projects.

Ivan Cesar
Logstash Tutorial: Using Logstash to Streamline Email Notifications
Toptal engineer Jurgens du Toit looks at the possibility of using Logstash to regain control of your inbox and make your error emails manageable again, all without changing a single thing in your app.
Logstash can effectively leverage the power of Elasticsearch and Amazon SNS to streamline email notifications and save time.

Jurgens du Toit
Elasticsearch for Ruby on Rails: A Tutorial to the Chewy Gem
Elasticsearch provides a powerful, scalable tool for indexing and querying massive amounts of structured data, built on top of the Apache Lucene library.
Building on the foundation of Elasticsearch and the Elasticsearch-Ruby client, we’ve developed and released our own improvement (and simplification) of the Elasticsearch application search architecture that also provides tighter integration with Rails. We’ve packaged it as a Ruby gem named Chewy.
This post discusses how we accomplished this, including the technical obstacles that emerged during implementation.

Arkadiy Zabazhanov
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