• DevRel newsletter - February 2026 Share on TwitterShare on Twitter Share on Twitter Share on LinkedInShare on LinkedIn Share on LinkedIn Share on FacebookShare on Facebook Share on Facebook Share by EmailShare by Email Share by Email Print this pagePrint Print Hello from the Elastic DevRel team!In this newsletter, we cover version 9.3 of Elasticsearch and the Elastic Stack, the latest blogs and videos, and upcoming events, including the Agent Builder hackathon. • Several features that were introduced in earlier releases are nowgenerally availablein version 9.3 of Elasticsearch and the Elastic Stack, including: Elastic Agent Builder, for building AI agents that reason over Elasticsearch data Elastic Agent Builder, for building AI agents that reason over Elasticsearch data Pattern-based log compression (pattern_text), reducing log storage costs Pattern-based log compression (pattern_text), reducing log storage costs Entity AI Summaryin Elastic Security Entity AI Summaryin Elastic Security ExpandedElastic Inference Service (EIS)model availability, includingJina models ExpandedElastic Inference Service (EIS)model availability, includingJina models 9.3 also introduces improvements in vector storage, GPU acceleration, and analytics performance. • Elastic Workflows to build automation within the Elastic Stack Elastic Workflowsis an automation engine built into Kibana. • You define workflows in YAML - what triggers (starts) them, what steps they take, and what actions they perform - and the platform handles execution. • A workflow can query Elasticsearch, transform data, branch based on conditions, call external APIs, and integrate with services like Slack, Jira, PagerDuty, and more through connectors you’ve already configured. • A workflow is composed of a few key parts: triggers, inputs, and steps.
Article Summaries:
- Elastic DevRel Newsletter - February 2026
Elastic released version 9.3 of Elasticsearch and the Elastic Stack, bringing several new features to general availability. Key additions include Elastic Agent Builder for AI agents that query Elasticsearch data, pattern‑based log compression to cut storage costs, and Entity AI Summary in Elastic Security. The Elastic Inference Service now supports more models, including Jina. Performance gains cover vector storage (bfloat16 support halves dense‑vector size), GPU acceleration, and analytics. Elastic Workflows, a YAML‑driven automation engine in Kibana, lets users build triggers, steps, and connectors to external services. The newsletter also highlights upcoming events, notably the Agent Builder hackathon.
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