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SAN FRANCISCO - Elastic (NYSE:ESTC) announced new capabilities in its Elastic Distribution of OpenTelemetry (EDOT) SDK that allow centralized management of SDKs across distributed systems, according to a press release statement. The cloud software company, currently valued at over $10 billion, has shown strong momentum with a 6.71% return in the past week.
The new features utilize OpenTelemetry's Open Agent Management Protocol (OpAmp) standard to enable teams to configure, manage and update instrumentation at scale, addressing challenges organizations face when managing thousands of OpenTelemetry SDKs across distributed environments.
"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.
Additionally, Elastic is contributing to the OpenTelemetry PHP SDK, bringing auto-instrumentation and native OS package support to PHP developers.
These updates follow several other OpenTelemetry-related releases from Elastic in 2025, including the general availability of EDOT, a managed OTLP endpoint for direct data transmission to Elastic, and the EDOT Cloud Forwarder for simplified data collection from AWS and Azure cloud environments.
The EDOT SDK and collector are designed to standardize the collection of traces, metrics and logs, which can simplify telemetry pipelines for organizations.
Elastic will showcase these capabilities at KubeCon North America at booth 931.
In other recent news, Elastic has received a positive outlook revision from S&P Global Ratings, which affirmed the company's current ratings. This change is based on Elastic's strong earnings and expected reduction in leverage by the end of fiscal year 2026. Additionally, Elastic has announced a new integration with Microsoft's Azure AI Foundry, enhancing observability for AI applications and large language models. This integration offers real-time insights into AI workloads, which are currently available in tech preview on Elastic Observability.
The company has also introduced DiskBBQ, a new disk-friendly vector search algorithm in Elasticsearch 9.2, aiming for more efficient vector search at scale. This algorithm eliminates the need to keep entire vector indexes in memory, reducing costs and delivering predictable performance. Furthermore, Elastic has launched AI-powered Streams to simplify log analysis, which automatically partitions and parses raw logs to extract significant events. These developments highlight Elastic's ongoing innovation and adaptation in the tech industry.
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