Google Cloud Profiler vs Polar Signals Cloud

Google Cloud Profiler is a free sampling profiler for examining resource use in production applications. Its profiling agent gathers CPU usage and memory allocation data and attributes that information to source code. A Google Cloud console displays and analyzes the collected profiles. Supported languages are Go, Java, Node.js, and Python, with profile types varying by language. Available types include CPU time, heap, allocated heap, contention, threads, and wall time. Deployment options include Compute Engine, Google Kubernetes Engine, App Engine, Managed Service for Apache Spark, Dataflow, and some environments outside Google Cloud, depending on language. The listed operating systems are Linux with glibc and, for some configurations, Linux with musl. Google states that CPU and heap collection overhead is under 5%, commonly under 0.5% when averaged across execution time and service replicas. Profiles are retained for 30 days and can be downloaded for longer storage. Cloud Profiler supports VPC Service Controls; quotas and limits apply.

Polar Signals Cloud has no write-up on Specifiction yet; its figures are above.