Elastic Stack 8.19.15 released

Source: Elastic Blog

Elastic solutions

• Context engineering – Get the most relevant context to agents so that they deliver accurate and trusted outcomes
• Vector database – Efficiently create, store, and search vector embeddings
• Search‑powered applications – The speed, scale, and flexibility to power modern application experiences
• Logs – Collect, search, explore, and act on large volumes of log data
• Threat protection – Detect, investigate, and remediate cyber threats at scale on real‑time data
• Workflows – Combine scripted automation with AI reasoning natively in Elasticsearch

Elasticsearch components

• Elasticsearch – A distributed, RESTful search and analytics engine
• Kibana (Discover, Dashboards) – Explore, visualize, and build dashboards using data stored in Elasticsearch
• Elastic Agent Builder – Build context‑aware agents faster that incorporate all your data and deliver best‑in‑class relevance
• AutoOps – Easy cluster management with performance recommendations, resource utilization, and cost insights
• Piped Query Language – Simplify workflows and accelerate query response for efficient data processing
• Jina AI search models – Jina AI models for embeddings, rerankers, and URL/document extraction

Deployment options

• Elastic Cloud Serverless – Zero operational load so that you can build faster
• Elastic Cloud Hosted – Deploy and scale on any cloud in minutes with ultimate control
• Self‑managed Elasticsearch – Run locally, via Kubernetes, or your own orchestration

Search use cases

• Ecommerce search – Improve customers’ search experience and drive conversion
• Customer support search – Help customers find support information quickly and easily
• Search‑driven apps – Create engaging apps quickly and easily with Elasticsearch

Observability

• Log analytics – Centralize and analyze logs using Search AI to detect, investigate, and remediate incidents
• Infrastructure monitoring – Monitor, visualize, and analyze the health of your on‑premises and cloud infrastructure
• Digital experience monitoring – Improve users’ experience with real‑user monitoring (RUM), synthetic testing, and uptime monitoring
• App performance monitoring – Monitor, visualize, and analyze the performance and availability of your applications
• AIOps – Automatically detect, diagnose, and resolve issues faster with GenAI and ML
• LLM observability – Monitor and optimize LLM performance, cost, safety, and reliability

Security

• Next‑gen SIEM – Detect, investigate, and respond to evolving threats with AI‑driven security analytics
• Workflows for security – Automate alert triage, enrichment, and response natively (no separate SOAR required)
• XDR and endpoint security – Secure your endpoints, clouds, and containers with AI‑driven insights
• AI for security – Automate triage, investigation, and response workflows with Search AI

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Version 8.19.15 of the Elastic Stack was released today. We recommend you upgrade to this latest version. This release fixes a regression where APM’s HTTP/2 connections could fail with strict clients due to framing errors.

For a full list of changes and the issues that have been fixed, see the release notes.