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. It’s the catch-up your stack needs.
Top stories
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Solutions
Search
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Catching invisible errors: How I built a duplicate detection agent for Kenya's HIV program
A multi-agent duplicate detection system built with Elastic Agent Builder addresses the 56% failure rate of manual duplicate detection in Kenya's HIV patient records. It uses tiered risk scoring and specific recs to provide $195K annual savings.
Observability
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From noise to knowledge: How GenAI is revolutionizing log management and analytics
Logs have returned to center stage for observability with new insights and information for your SRE team. Driving efficiency in your day to day operations is possible with GenAI applied to the richest telemetry signal available: your logs.
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Elastic Stack + Cloud
Elastic Security is now a native, embedded security layer for GDC air-gapped environments — bringing its agentic SecOps platform to government, defense, finance, and telecom teams running workloads disconnected from the public internet.
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CISA has awarded Elastic a contract to provide SIEM as a Service (SIEMaaS) to US federal civilian agencies in an effort to standardize threat hunting, cybersecurity monitoring, and incident response across the government.
Customers
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Elastic sponsored UNIHACK 2026, where over 50 teams used Elasticsearch and vector databases to move beyond basic LLMs into professional AI workflows. Projects used hybrid search and geospatial data to deliver scalable solutions for complex problems.
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KPMG Technology consulting deploys Elastic Security to cut storage costs, increase visibility, and reduce false positives
KPMG Technology consulting helps clients migrate from legacy SIEM platforms to Elastic Security, delivering 75% cost savings, 10x storage increase, and enhanced threat detection with AI-powered analytics and real-time monitoring capabilities.
Culture
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Sean Handley, senior engineering manager on the Search team, spends his days working with his team on machine learning and large language models (LLMs), shaping the future of search as we know it. Learn how Sean gets ready to build.
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