🔥 HOT TAKE: AI will replace security analysts.🧊 COLD FACT: Sandiya Ramamoorthy, product marketing engineer at Elastic, shares how Elastic Security is different. Applying transparent AI to help analysts, not replace them. ⬇️

Learn how to set up an Elasticsearch deployment on a Google Compute Engine VM instance with Kibana for search capabilities: #ElasticSearchLabs

Join millions who have switched to Grok.

Accelerate detection, reduce manual effort, and gain deeper insight into your security data! Dive into this blog to learn more from @jamesspi about the recent updates to Attack Discovery and Elastic AI Assistant:

Quick question — what exactly is a vector database? Kathleen DeRusso, principal software engineer at Elastic breaks it down for you in our latest video. Watch now:

Build custom detection rules in Elastic Security with ES|QL and the Elastic AI Assistant. Refine detection logic, add crucial context, and preview, test, and enhance rules to strengthen your security operations in our latest blog:

From Bengaluru to New York City, San Francisco to Singapore—Elastic{ON} is coming to a city near you. Connect with the Elasticsearch community, hear from expert speakers, and get an inside look at new features and product innovations. Register here:

Didn’t make it to Black Hat this year? No problem. Check out the highlights from @hmikenichols and @jamesspi speaking session on a practical approach to applying AI in the SOC. Interested in learning more? Join us for a webinar on Aug 26:

We’re excited to announce the managed OTLP endpoint for Elastic Observability Serverless! Developers can now send logs, metrics, and traces directly from @OpenTelemetry SDKs or Collectors into Elastic Cloud—stored natively with full fidelity. Learn more:

Learn how @opentelemetry and Elastic Common Schema (ECS) help users simplify and normalize #GenAI monitoring across different Gen AI vendors and data sources in our latest blog:

Context engineering is here, and it's reshaping how enterprises scale apps. Join Elastic's @JordiMonPMM and @ContextualAI's @NinaLopatina on Aug 26 to learn how they're building context-aware systems that support millions of docs using Elasticsearch:

Start faster — without the need to configure, manage, or scale infrastructure. Elastic Cloud Serverless is our fully managed, cloud-native solution that auto-scales to meet your data, usage, and performance needs. Manage less and build more with Elastic Cloud Serverless.

Learn why the RAG strategy is still relevant and gives the most efficient and better results: #ElasticSearchLabs.

We just wrapped our first Elastic Coding Session! See how ELSER powers semantic and hybrid search in Elasticsearch—making search smarter by understanding meaning, not just keywords. Watch the full video now and keep building with Elasticsearch and AI:

Build an agentic RAG assistant that provides tailored recs for your fantasy team using JavaScript, Mastra and Elasticsearch: #ElasticSearchLabs.

Check out how we combine cost-efficient storage, @opentelemetry standardization, and full-signal correlation with AI/ML to cut through noise, accelerate root cause analysis, and keep MTTR low:

RT @xeraa: I recently joined Time4AI for a 20min chat, discussing how @elastic's #elasticsearch and #kibana are transforming information re….

Check out this step-by-step guide on how to build an MCP server using FastMCP and Elasticsearch to manage and search data: #ElasticSearchLabs.

Elastic has won the 2025 @googlecloud DORA Award for Architecting for the Future with AI. This award recognizes Elastic’s significant advancements to improve software delivery and operational performance by applying DORA principles with Google Cloud:

The Elastic{ON} Tour is back! We’re hitting the road to bring the Elasticsearch community together. Expert speakers, technical deep dives, customer and community features, and so much more. Find your nearest city and register here: #ElasticON #SearchAI

We’re excited to collaborate with @Dell & @nvidia to power the Dell AI Data Platform. See how Elasticsearch vector database works as the unstructured data engine to deliver fast, flexible semantic search for media teams working across terabytes of content: