have you guys ever used Elasticsearch?? if yes what do you even think of it ??

a backend tool that rarely gets hype but always delivers: Elasticsearch most know it for "search" but it's so much more than that >it’s your analytics engine >your real-time data wrangler >your secret to blazing-fast responses >your scale-friendly powerhouse > your answer to

🚀 ¡#BlogBujarra vuelve con TODO! Nueva sección con cursos GRATIS 🎓: formaciones 100% en vídeo, herramientas IT con un plus de ciberseguridad 🔐.👉 Empieza ya: https://t.co/Nwu6oqUOP2 Formaciones de #FortiGate #Elasticsearch #Grafana #Centreon #Prometheus #CrowdSec y muchos más!

Elasticsearch is a popular tool that many sites use to power their search bars. This course teaches you how to build your own search engine and use it in your apps. You'll learn about index management, document storage, semantic search, embeddings, and lots more.

lightweight search engine, drop-in Elasticsearch alternative, quick setup

⚡ Here's how to add intelligent, typo-tolerant search to your Rails app with Typesense — a fast, open-source alternative to ElasticSearch or Algolia. #Rails https://t.co/gYjfsotfAF

Because it caches everything in Redis and ElasticSearch, StackOverflow can function in read-only mode even when SQL Server is taken down for a version upgrade. https://t.co/UqEJe9fpF4

🪵Kubernetes Logging with EFK kubectl logs works for small setups but hundreds of pods across multiple nodes? Chaos. That’s where the EFK stack (Elasticsearch + Fluent Bit/Fluentd + Kibana) is essential. How it works: 1️⃣ Pods generate logs → stdout/stderr 2️⃣ Container runtime

been deep into lucene & elasticsearch for ~a year now. super happy that my first contribution to lucene just got approved. added SIMD vectorization to feature field scoring so it runs faster now.

GUI for managing Elasticsearch clusters in your browser or desktop

Elasticsearch has been named a Leader in The @forrester Wave™ for Cognitive Search Platforms, Q4 2025. Learn more about the features, foundation, and flexibility we believe drive Elasticsearch to be a Leader in this category: https://t.co/veM08i4Csh

Search is everywhere 🙌 Every app needs it eventually. Rails gives us tons of options, from simple `ILIKE` queries to `pgsearch` or Elasticsearch. This article shows how to add intelligent search in Rails using Typesense: powerful search engine, dead simple integration.

Elasticvue is a free and open-source GUI for Elasticsearch, allowing you to search and filter your cluster's data right in your browser 🔍️ - https://t.co/ajhDQtiBBq

🐋 Docker is Go ☸️ Kubernetes is Go 🛠️ Terraform is Go 📈 Prometheus is Go 📊 Grafana is TypeScript ⚙️ Jenkins is Java 🐍 Ansible is Python 🍴 Chef is Ruby 🎭 Puppet is Ruby 🔍 ELK Stack (Elasticsearch, Logstash, Kibana) is Java and Ruby 📟 Nagios is C 💾 Splunk is C++ ☁️ AWS CLI

The new Elastic Inference Service (EIS) brings GPU-accelerated inference to Elasticsearch — now on Elastic Cloud! Run embeddings, semantic reranking, and LLMs to power faster semantic search, RAG, and AI—with simplicity and scale. Learn more: https://t.co/6scK3Hgyac

o typesense é uma baita search engine 100% grátis e gostosa de se trabalhar, resolve em muitos casos, hoje onde trabalho usamos elasticsearch, estamos migrando de function score pra learn to rank, a busca no segmento veterinário precisa ser muito melhor que num marketplace

Elasticsearch vs. SingleStore: What’s best for your data needs? 🧐 Find out here 👉 https://t.co/PA4CGvxAgv

Discover how to integrate Vertex AI with Elasticsearch to create a RAG application! Follow this tutorial to configure a Gemini model and use it in Kibana's Playground: https://t.co/Qr0LDt2dl7 #ElasticSearchLabs

Gonna replace all my MySQL, Postgres, Mongodb, Elasticsearch, Redis and Spark installations with SQLite 💪💪💪