Elastic Stack 9.3.4 released
Published: (April 29, 2026 at 08:00 PM EDT)
3 min read
Source: Elastic Blog
Source: Elastic Blog
Elastic Stack 9.3.4 Release
Version 9.3.4 of the Elastic Stack was released on April 30, 2026.
We recommend you upgrade to this latest version, which supersedes 9.3.3.
Fixed Issues
- Resolved a regression where APM’s HTTP/2 connections could fail with strict clients due to framing errors.
For a complete list of fixes and changes per product, see the release notes.
Elastic Stack Components & Solutions
Core Products
- 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, incorporating all your data for best‑in‑class relevance.
- AutoOps – Automated 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 – Embeddings, rerankers, and URL/doc extraction models from Jina AI, now part of Elastic.
Specialized Solutions
- Context Engineering – Deliver accurate, trusted outcomes by providing the most relevant context to agents.
- Vector Database – Efficiently create, store, and search vector embeddings.
- Search‑Powered Applications – Speed, scale, and flexibility for 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.
Deployment Options
- Elastic Cloud Serverless – Zero operational load for faster development.
Start free trial - Elastic Cloud Hosted – Deploy and scale on any cloud in minutes with full control.
Start free trial - Self‑managed Elasticsearch – Run locally, via Kubernetes, or your own orchestration.
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Search Use Cases
- E‑commerce Search – Improve customers’ search experience and drive conversion.
- Customer Support Search – Help customers find support information quickly and easily.
- Search‑Driven Apps – Create engaging applications rapidly with Elasticsearch.
Explore more at the Enterprise Search Overview.
Observability Suite
- Log Analytics – Centralize and analyze logs with Search AI for incident detection and remediation.
- Infrastructure Monitoring – Monitor, visualize, and analyze health of on‑premises and cloud infrastructure.
- Digital Experience Monitoring – Real‑user monitoring (RUM), synthetic testing, and uptime monitoring.
- Application Performance Monitoring – Track performance and availability of applications.
- AIOps – Automatic detection, diagnosis, and resolution of issues with GenAI and ML.
- LLM Observability – Monitor and optimize LLM performance, cost, safety, and reliability.
More details at the Observability Overview.
Security Suite
- Next‑Gen SIEM – AI‑driven security analytics for threat detection, investigation, and response.
- Workflows for Security – Automate alert triage, enrichment, and response natively (no separate SOAR required).
- XDR & Endpoint Security – Protect endpoints, clouds, and containers with AI‑driven insights.
- AI for Security – Automate triage, investigation, and response workflows with Search AI.
See the Security Overview.