-

Elastic Introduces Distributions of OpenTelemetry

SREs and developers can now access a portfolio of OpenTelemetry components and out-of-the-box configurations designed to improve infrastructure and application monitoring with Elastic Observability

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced Elastic Distributions of OpenTelemetry (EDOT), a portfolio of OpenTelemetry (OTel) components designed to improve infrastructure and application monitoring in standard OTel distributions and functions. EDOT provides deeper insights and troubleshooting capabilities to users, including fixes outside of OTel release cycles and enterprise-grade support from Elastic.

“As organizations’ use of technology evolves, so do their needs for application and stack observability,” said Ken Exner, chief product officer at Elastic. “Building on our decision to adopt and recommend OTel for observing applications, Elastic is committed to contributing EDOT features or components upstream into the OTel community, fostering a collaborative environment and enhancing the overall OTel ecosystem.”

EDOT includes the following components: Elastic Distribution of OpenTelemetry Collector (EDOT Collector) and Elastic Distributions of Language Software Development Kits (SDKs), supporting Java, Python, NodeJS, .NET, and iOS and Android, with support for more languages to be rolled out.

The Elastic Distributions of SDKs bring additional application performance monitoring (APM) capabilities from Elastic's APM agents into OTel language SDKs, while maintaining seamless integration with Elastic Observability. Elastic will release OTel versions of its APM agents and continue to add additional language SDKs mirroring OTel.

EDOT users can still use native OTel components in conjunction with Elastic. Details and documentation for all EDOT components are available in Elastic’s public OpenTelemetry GitHub repository.

EDOT is available now in tech preview. For more information, read the Elastic blog.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

Contacts

Elastic PR
PR-team@elastic.co

Elastic N.V.

NYSE:ESTC

Release Versions

Contacts

Elastic PR
PR-team@elastic.co

More News From Elastic N.V.

Elastic Introduces Jina v5 Omni Family: Two Models to Power Text, Image, Video, and Audio Search

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced jina-embeddings-v5-omni, a new family of multimodal embedding models with the ability to represent text, images, video, and audio as vectors. Developers can now perform search, classification, clustering, and deduplication across different media types, giving users powerful new ways to understand and organize multimodal data. Available in two sizes, small and nano, the new omni models share the exact sa...

Elastic Jina Embeddings v3 Now Available in Gemini Enterprise Agent Platform Model Garden

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced that Jina Embeddings v3 is now available as a self-deployable partner model in Gemini Enterprise Agent Platform Model Garden. As the first Jina model available on the platform, it enables organizations to deploy high-performance retrieval models directly within their own cloud environments. With Jina Embeddings v3 deployed directly inside their Google Cloud projects and Virtual Private Clouds (VPCs), enterpri...

Elastic Adds Native Prometheus and PromQL Support to Elastic Observability

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced native Prometheus support, including direct ingestion via Remote Write and full PromQL support in Kibana. These additions enable Site Reliability Engineers (SREs) to analyze Prometheus metrics alongside logs and traces in a single platform, without rewriting queries or rebuilding pipelines. As organizations scale Kubernetes, Prometheus telemetry cardinality and volumes surge, forcing SREs to juggle mult...
Back to Newsroom