Alternatives to Elastic Universal Profiling

It suits software engineers who need to detect application anomalies and investigate root causes using service health and telemetry signals.

Middleware

Middleware suits organizations looking for observability across infrastructure, applications, and real-user activity.

Metoro suits teams profiling Kubernetes workloads that want to connect performance data with traces, logs, metrics, and deployment context.

Amazon CodeGuru Profiler

It suits teams running supported Java, JVM-language, or Python applications that want continuous profiling, performance recommendations, or anomaly alerts.

Parca

Parca suits teams that want to profile production systems and query profiles across processes or code versions.

OneUptime

OneUptime may suit teams that need monitoring, incident response, and observability together.

Cloud Profiler suits teams analyzing CPU, memory, thread, and related resource consumption in production services.

Pixie

Pixie suits developers who need observability and debugging for supported Kubernetes environments and can run Linux nodes.

Zymtrace suits teams profiling AI workloads on Linux that need both CPU and GPU visibility.

It suits development teams investigating backend performance in Node.js or Python, and teams working on frontend or mobile user experience.

Pyroscope may suit developers and teams profiling applications written in its listed languages, across CPU, memory, and thread use.