Elastic Universal Profiling agent, a continuous profiling solution, is now open source
Elastic Universal Profiling? Agent goes open source under Apache 2
At Elastic, open source is more than just a philosophy — it's our DNA. We believe the benefits of whole-system continuous profiling extend far beyond performance optimization. It's a win for businesses and the planet alike. For instance, since launching Elastic Universal Profiling in general availability (GA), we've observed a wide variety of use cases from customers.?
These range from customers relying fully on Universal Profiling's differential flame graphs and topN functions for insights during release management to utilizing AI assistants for quickly optimizing expensive functions. This includes using profiling data to identify the optimal energy-efficient cloud region to run certain workloads. Additionally, customers are using insights that Universal Profiling provides to build evidence to challenge cloud provider bills. As it turns out, cloud providers' in-VM agents can consume a significant portion of the CPU time, which customers are billed for.?
In a move that will empower the community to take advantage of continuous profiling's benefits, we're thrilled to announce that the Elastic Universal Profiling agent, a pioneering eBPF-based continuous profiling agent, is now open source under the Apache 2 license!
This move democratizes hyper-scaler efficiency for everyone, opening exciting new possibilities for the future of continuous profiling, as well as its role in observability and OpenTelemetry.
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Implementation of the OpenTelemetry (OTel) Profiling protocol
Our commitment to open source goes beyond just the agent itself. We recently announced our intent to donate the agent to OpenTelemetry and have further solidified this goal by implementing the experimental OTel Profiling data model. This allows the open-sourced eBPF-based continuous profiling agent to communicate seamlessly with OpenTelemetry backends.?
But that's not all! We've also launched an innovative feature that correlates profiling data with OpenTelemetry distributed traces. This powerful capability offers a deeper level of insight into application performance, enabling the identification of bottlenecks with greater precision. Upon donating the Profiling agent to OTel, Elastic will also contribute critical components that enable distributed trace correlation within the Elastic distribution of the OTel Java agent to the upstream OTel Java SDK. This underscores Elastic Observability's commitment to both open source and the support of open standards like OpenTelemetry while pushing the boundaries of what is possible in observability.