Google Cloud Profiler vs Grafana Cloud Application Observability

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.

Grafana Cloud Application Observability monitors applications and brings OpenTelemetry and Prometheus data together to help software engineers investigate anomalies and their causes. Its knowledge graph discovers services and relationships from telemetry, while the service catalog displays latency, error ratio, and request rate for each service. The RCA workbench and Entity Graph help investigate correlated problems across a stack. Metrics, logs, traces, and profiles share a unified view, with drill-down from a service into its signals. Grafana identifies Alloy as a collector with native pipelines for OpenTelemetry and Prometheus. The free plan includes up to 2,232 host hours per month and community support. Pro is listed at $0.03 a month, with a $19 monthly platform fee and $0.025 per host hour; host hours and application telemetry are billed at standard Grafana Cloud rates. Serverless usage is billed on telemetry ingested instead of host hours. The cloud service runs on Linux, macOS, Windows, and the web.