Elastic expands observability platform with native Prometheus support and 30x faster metrics
Elastic 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, without 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. Most platforms make that growth expensive: premium vendors increase costs as cardinality grows, while lower-cost alternatives fragment metrics and logs across separate backends and...
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