Universal Profiling
Profile everything. Everywhere. All at once. Get whole system visibility into complex, cloud-native environments with frictionless, always-on profiling based on eBPF technology. Optimize performance at all levels of your application, services, and infrastructure with no instrumentation needed.
Dive into the details in the Universal Profiling launch blog.
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Learn why Elastic was named a Visionary in the 2022 Gartner Magic Quadrant for Application Performance Monitoring.
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Get unprecedented visibility at all levels with 24x7 whole system profiling. Build stack traces that go from the kernel, through userspace native code, into code running in higher level runtimes with no noticeable impact on profiled systems (less than 1% CPU overhead). No intrusive application source code changes or instrumentation is needed.
Responsive and easy to use flame-graphs help you explore the performance of your entire system in one dashboard. Identify the most expensive lines of code, increase CPU resource efficiency, debug performance regressions, and reduce cloud spend quickly and easily for your cloud-native applications.
Profiling does not require any application source code change, instrumentation, or other intrusive operations. Just deploy the agent and receive profiling data a few minutes later. The agent can be manually run as a native binary or as a privileged Docker container. Or have it automatically deployed using your cluster's orchestration framework.
Profiling support includes mixed language traces across almost all popular language runtimes including: PHP, Python, Java (or any JVM language), Go, Rust, C/C++, Node.js/V8, Ruby, and Perl. Plus first-class support for all the major containerization and orchestration frameworks, whether running on premises or on top of a managed platform, such as GKE, AKS, or EKS.
Spin up a fully loaded deployment on the cloud provider you choose. As the company behind Elasticsearch, we bring our features and support to your Elastic clusters in the cloud.