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Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Browse the latest and most valuable Elastic Search articles handpicked from across the web. Learn from top blogs and industry experts. Share your resource

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How migrating to Elastic Security helped a digital safety software company cut incidents by 85% wit

UnderDefense, an Elastic partner, migrated a two-person security team from a noisy legacy QRadar to Elastic Security on AWS, cutting incident volume 85%, reducing MTTR 61%, and delivering audit-ready retention with 25 purpose-built dashboards.

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Monitor Claude activity in Elastic Security

Elasticâs Anthropic integration ingests Claude Compliance API events into Elastic Security, enabling teams to monitor activity via dashboards, detect risks with automated rules, and investigate threats alongside existing telemetry.

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Compliance work is overdue for a new approach

Elastic Security introduces agentic compliance in Agent Builder, starting with PCI DSS v4.0.1. Ask questions over live telemetry, inspect ES|QL evidence and scope claims, spot data gaps, and automate daily checks with Workflows â beyond dashboards.

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From M-21-31 to M-26-14: What US government agencies need to know now

M-26-14 sets a new compliance baseline for cybersecurity logging, shifting to a risk-based, outcome-driven approach. Agencies operating with distributed, open, and AI-powered platforms like Elastic are better positioned to meet the requirements.

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HNSW vs. LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS â and what it costs

Learn how approximate nearest neighbor search, HNSW, and DiskBBQ quantization work and why Elasticsearch HNSW delivers higher recall@10 than OpenSearch at equivalent QPS for production vector search.

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Onboarding at Elastic: What to expect

As a distributed company, weâre experts in remote onboarding. Learn how we onboard new hires at Elastic, and dive into X-School, our new hire orientation experience.

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5 criteria for choosing a vector database that will survive production

Pick a vector database on the wrong criteria and you'll spend six months rebuilding. Here are the five evaluation criteria that separate production systems from prototypes.

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HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS â and what it costs

Learn how approximate nearest neighbor search, HNSW, and DiskBBQ quantization work and why Elasticsearch HNSW delivers higher recall@10 than OpenSearch at equivalent QPS for production vector search.

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How to overcome data gravity and accelerate AI security in the SOC

Does heavy security data slow your threat detection? You're not alone. Learn four principles to unify your architecture and speed up incident response.

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The platform cycle has turned. Hereâs how partners win it.

AI is changing how people buy, driving them to single platforms. As the unified platform for search, security, and observability, Elastic offers partners major growth. Build your practice today and reap the rewards.

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I Built a Vector Search Engine from Scratch — Here's What I Learned

I Built a Vector Search Engine from Scratch — Here's What I Learned Implementing HNSW...

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Best Log Management Software for DevOps and SRE Teams in 2026: Feature and Cost Breakdown

TL;DR Picking the right log management platform in 2026 comes down to three things: how much operational overhead you can absorb, how much AI automation you need, and what you’re willing to spend. Here’s the short version: ELK Stack / Graylog: Free,

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Protecting critical infrastructure in the AI era: It starts with data

Learn how AI-driven security, Zero Trust, and a unified data foundation help critical infrastructure organizations improve resilience, detect threats faster, and protect essential services.

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How LivePerson optimized Logstash and Kafka performance on GCP through benchmarking

LivePerson reduced Logstash processing cost by over 50% by benchmarking GCP machine types and switching to AMD Milan-based instances while finding that Kafka compression codec selection independently drives meaningful throughput gains.

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The essential Elastic 2026 wrap-up for Microsoft Build attendees and Azure developers

Elastic's 2026 releases included multimodal search via Elastic Inference Service, OpenTelemetry metrics at 3.75 bytes per data point, agent context memory at scale, and open source CI/CD pipeline security. Itâs the catch-up your stack needs.

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