Elastic has introduced native support for Prometheus within its observability platform, marking a significant step forward for Site Reliability Engineers (SREs). Specifically, the company now enables direct ingestion through Remote Write and full PromQL compatibility in Kibana. As a result, teams can seamlessly analyze Prometheus metrics alongside logs and traces without modifying queries or rebuilding pipelines.

As organizations increasingly adopt Kubernetes environments, they face a rapid surge in telemetry data volume and cardinality. Consequently, SREs often rely on multiple tools, duplicate pipelines, and complex query rewrites to manage observability. This fragmented approach not only slows down incident response but also increases operational costs. However, Elastic aims to solve these challenges by consolidating observability workflows into a unified platform.

With this latest update, Elastic allows users to ingest, store, and analyze native Prometheus data alongside other telemetry sources while maintaining existing workflows. Therefore, instead of switching between tools, SREs can detect, investigate, and resolve incidents more efficiently across cloud-native and AI-driven environments. This unified approach significantly reduces operational overhead and accelerates troubleshooting processes.

“Modern incident response is slowed down by tool sprawl and disconnected data, and SREs shouldn’t have to pivot between tools or rewrite queries just to understand what’s happening in production,” said Bahaaldine Azarmi, general manager, Observability at Elastic. “With native Prometheus ingestion and PromQL in Kibana, teams get a single platform that dramatically reduces time to root cause.”

In addition, Elastic’s native Prometheus ingestion—currently available as a tech preview—eliminates the need for adapters, schema transformations, or format conversions. By streaming metrics directly into Elasticsearch, organizations can preserve the original structure and semantics of their data. This approach ensures a single source of truth while removing duplicate storage and pipeline complexity. Furthermore, it maintains high-fidelity metrics, including high-cardinality datasets, and enables unified analysis across logs, metrics, and traces.

Moreover, Elastic now supports running PromQL queries directly within Kibana dashboards and alerts. This capability allows teams to reuse their existing queries without any modifications, significantly lowering adoption barriers. As a result, SREs can retain their established dashboards, alerts, and workflows while benefiting from deeper, cross-signal analysis.

Ultimately, this innovation bridges the gap between metrics and observability, enabling faster root cause analysis and more efficient incident management without unnecessary manual intervention.

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