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Elastic Simplifies OpenTelemetry SDK Management

New capabilities in the Elastic Distribution of OpenTelemetry streamline centralized configuration and management at scale

Elastic announced new capabilities in the Elastic Distribution of OpenTelemetry (EDOT) SDK that simplify how SDKs are centrally managed, updated and deployed at scale. 

Elastic also introduced new features to provide OpenTelemetry support for the PHP language.

Managing thousands of OpenTelemetry (OTel) SDKs across distributed systems can quickly become a bottleneck for developers and observability teams. With OTel adoption accelerating, many teams face the operational complexity of keeping SDKs consistent and up to date across sprawling services. Elastic solves this by enabling teams to configure, manage and update instrumentation using EDOT with OTel’s Open Agent Management Protocol (OpAmp) standard.

“OTel users have been waiting for an easy, reliable way to centrally manage their SDKs at scale,” said Baha Azarmi, general manager of Elastic Observability. “By extending OpAmp support through our EDOT SDK, we’re making open observability more accessible and dramatically reducing the operational friction that comes with scaling it.”

The EDOT SDK and collector enable organizations to standardize their approach to collecting traces, metrics and logs, simplifying telemetry pipelines and enabling faster insights.

Demonstrating its deep commitment to the open-source community, Elastic is also contributing key features to the OTel PHP SDK. This brings auto-instrumentation, along with native OS package support for PHP, one of the world's most popular programming languages.

Elastic Observability has delivered multiple innovations in 2025 aimed at solving core ingestion, distribution and management challenges. Earlier this year, Elastic laid the foundation with the general availability of the EDOT, a stable, production-tested OTel ecosystem backed by enterprise-grade support, to provide faster, more reliable infrastructure and application monitoring. Elastic followed with the release of a managed OTLP endpoint, which allows customers to send OTel data directly to Elastic at scale, eliminating the need to manage collectors. This was complemented by the EDOT Cloud Forwarder for simplified data collection from AWS and Azure, giving users an easier on-ramp to open observability in the cloud.

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Elastic Simplifies OpenTelemetry SDK Management

New capabilities in the Elastic Distribution of OpenTelemetry streamline centralized configuration and management at scale

Elastic announced new capabilities in the Elastic Distribution of OpenTelemetry (EDOT) SDK that simplify how SDKs are centrally managed, updated and deployed at scale. 

Elastic also introduced new features to provide OpenTelemetry support for the PHP language.

Managing thousands of OpenTelemetry (OTel) SDKs across distributed systems can quickly become a bottleneck for developers and observability teams. With OTel adoption accelerating, many teams face the operational complexity of keeping SDKs consistent and up to date across sprawling services. Elastic solves this by enabling teams to configure, manage and update instrumentation using EDOT with OTel’s Open Agent Management Protocol (OpAmp) standard.

“OTel users have been waiting for an easy, reliable way to centrally manage their SDKs at scale,” said Baha Azarmi, general manager of Elastic Observability. “By extending OpAmp support through our EDOT SDK, we’re making open observability more accessible and dramatically reducing the operational friction that comes with scaling it.”

The EDOT SDK and collector enable organizations to standardize their approach to collecting traces, metrics and logs, simplifying telemetry pipelines and enabling faster insights.

Demonstrating its deep commitment to the open-source community, Elastic is also contributing key features to the OTel PHP SDK. This brings auto-instrumentation, along with native OS package support for PHP, one of the world's most popular programming languages.

Elastic Observability has delivered multiple innovations in 2025 aimed at solving core ingestion, distribution and management challenges. Earlier this year, Elastic laid the foundation with the general availability of the EDOT, a stable, production-tested OTel ecosystem backed by enterprise-grade support, to provide faster, more reliable infrastructure and application monitoring. Elastic followed with the release of a managed OTLP endpoint, which allows customers to send OTel data directly to Elastic at scale, eliminating the need to manage collectors. This was complemented by the EDOT Cloud Forwarder for simplified data collection from AWS and Azure, giving users an easier on-ramp to open observability in the cloud.

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In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers user experience, digital performance, website performance and ITSM ...

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The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...

IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...

Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

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