Subject
5 entries
Elasticsearch
Bookmarks
Running Elasticsearch: Fun & Profit
A free online book on running Elasticsearch in production — cluster sizing, index design, mapping, query optimization, and operational concerns like snapshots and upgrades. Practitioner-focused with real-world configuration guidance rather than API documentation.
Test Driving Elasticsearch Learning to Rank with a Linear Model
OpenSource Connections' hands-on tutorial for the Elasticsearch Learning to Rank plugin with a linear model — walks through feature logging, model training, and deployment. The entry point for adding ML-powered ranking to an existing Elasticsearch stack.
Learning to Rank 101: Linear Models
OpenSource Connections' foundational explainer on linear models for learning-to-rank — the first step before gradient boosted trees. Covers feature engineering and the intuition for why linear LTR models are both a useful starting point and a useful baseline.
Not Just for Search: Using ElasticSearch with Machine Learning Algorithms
An early (2013) case for using Elasticsearch beyond full-text search — specifically as a substrate for machine learning applications like nearest-neighbor lookup and feature indexing. Pre-dates the vector search era but anticipates the same pattern.
Deploying ElasticSearch with Chef Solo
An early 2012 tutorial for deploying Elasticsearch using Chef Solo — a document from when both Elasticsearch and infrastructure-as-code were early in their mainstream adoption curves. Shows the 2012 devops toolchain before Ansible and Terraform emerged.