Elastic, the Search AI Company, today announced new capabilities that bring the same scale, performance, and operational simplicity that have made Elastic a trusted platform for logs to metrics. With native Prometheus and PromQL support, out-of-the-box Kubernetes investigation workflows, and automated migration from Datadog and Grafana, Elastic now delivers a unified platform for metrics and logs. Built on Elasticsearch's columnar metrics engine, the platform can query metrics up to 30x faster than Prometheus and store data up to 2.5x more efficiently.
Metrics queries up to 30x faster than Prometheus, storage 2.5x more efficient.
Native PromQL and Prometheus Remote Write for existing dashboards and alerts.
Out-of-the-box Kubernetes workflows with ML anomaly detection and pre-built dashboards.
Observability MCP App brings investigations to Claude, Cursor, and VS Code.
Automated migration from Datadog and Grafana for dashboards and alert rules.
Columnar metrics engine with no cardinality limits or custom metric penalties.
The metrics landscape has changed dramatically. Kubernetes and microservices have already pushed observability systems from thousands to millions of time series. Now AI workloads are accelerating that growth, making metrics not only a scale challenge but also a strategic cost and reliability problem. Elastic Observability addresses both problems in a single platform that stores OpenTelemetry, Prometheus-native, and application-defined metrics at full resolution alongside logs and traces, with no separate backends and no retention trade-offs.
PromQL queries run natively in Kibana and Prometheus metrics arrive via Remote Write, so existing dashboards, alert rules, and scrape configs work without modification. Out-of-the-box Kubernetes workflows and content mean SREs now go straight from an alert to the root cause through out-of-the-box agentic workflows, alert templates, ML anomaly detection jobs, and pre-built dashboards that activate at ingest for Kubernetes. When an alert fires, Elastic correlates metrics, logs, and traces that already share a single backend, using workflows with ML anomaly detection to surface what changed and how severe the deviation is before anyone is paged.
The Observability Migration Platform converts dashboards, alert rules, and PromQL queries into Kibana equivalents automatically, so teams move what they've already built rather than rebuilding it. The Observability MCP App and agent skills bring the same investigation capabilities to Claude, Cursor, VS Code, and any MCP-compatible tool. All capabilities run across Elastic Cloud, serverless, and self-managed deployments.
Baha Azarmi, general manager, Observability at Elastic, stated: "Elastic was already the platform many SREs trusted for logs at scale. Now we're bringing that same impressive scale, performance, and operational simplicity to metrics, delivering up to 30x faster metric queries than Prometheus, native Prometheus compatibility, and a more predictable cost model for high-cardinality metrics. With a single backend for every signal, SREs get complete context at the moment they need it most."
Jeff Beagley, manager of DevOps, SRE, and Cloud Engineering at Bass Pro Shops, added: "Elastic's new metrics capabilities let us handle that volume and surface the insights we need. Coupled with Elastic's OpenTelemetry support, we get visibility into an increasingly complex architecture — all while keeping performance up and costs down."
Iosif Tournas, Cyber Security & Elastic Platform Lead at Eurowings Aviation, commented: "The improved metrics performance, native Prometheus support, logsdb and incident-handling workflows in Elasticsearch have helped our teams achieve faster incident response times and a more unified view across signals without jumping between systems."
About Elastic
Elastic, the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500.
