Always-on CPU Profiling, without the overhead
Get detailed CPU profiles and stacktraces automatically for all containers. Function-level visibility with zero setup.
Out-of-the-box
97Hz Sampling
•Multi-Language
•Stacktraces
•Always-On
•Zero Overhead
Visualize CPU usage with flame graphs
Understand exactly where your CPU time is spent with interactive flame graphs showing function-level detail.
- •Interactive flame graphs for visual analysis
- •Aggregate profiles across all pods and time periods
- •Drill down to specific functions and call stacks
Multi-Language Support
Native profiling for all major languages
Zero Setup Required
Install once, profile everything. No code changes, no restarts, no configuration.
- •Automatic profiling for all containers in cluster
- •No SDK integration or code changes needed
- •Works with containers you don't control
- •1 minute install via Helm chart
AI-Powered Performance Analysis
AI automatically analyzes your CPU profiles to identify bottlenecks and optimization opportunities.
- •Automatic bottleneck detection in your code
- •AI-generated optimization suggestions
- •97Hz always-on sampling with 0.5% overhead
- •Investigate past issues retroactively
- •Compare performance across releases
Cost Effective
Save on Your Observability Costs
Metoro gives you profiling for free as part of APM. No additional cost for CPU profiling.
Example monthly cost comparison - APM + CPU Profiling
Based on typical start-up usage
Hosts
Containers
Profiles
* Approximate cost. Precise costs depend on the specific use case and any discounts.
** Updated July 2025. Datadog Enterprise APM required for profiling. Assumes monthly billing.
Ready to optimize performance?
Start profiling your Kubernetes applications immediately with zero configuration.
SUPPORT
Frequently Asked Questions About K8s CPU Profiling
Everything you need to know about the product and billing. Can't find the answer you're looking for? Ask us on our Slack Community.
What are CPU profiles?
A CPU profile is a list of stacktraces and time spent at each stack trace. Metoro aggregates these lists together to show you exactly which functions your program is spending time in.
How does the CPU profiling work?
Metoro runs a sampling profiler at 97Hz to understand exactly which container is running on each CPU on a host. This allows us to collect stacktraces of any program currently on the CPU, giving you detailed insights into where CPU time is being spent.
What programming languages are supported for CPU profiling?
Metoro currently supports CPU profiling for C, C++, Rust, Golang, and Python. For other languages, we show their native runtime methods, though CPU time won't be attributed to the interpreted function itself.
What is the performance impact of CPU profiling?
Running the sampling profiler has minimal overhead, typically less than 0.5% of total CPU usage. This ensures that our profiling solution doesn't significantly impact your application's performance.
How can I view the CPU profiles in Metoro?
You can view CPU profiles for each service in its respective service page under the Profiling tab. This provides an aggregated view of all profiles taken across all pods associated with the service in your selected time period. You can filter by specific container in the pod or by cluster.
What is the difference between CPU profiling and other types of profiling?
CPU profiling focuses on understanding how CPU time is spent in your application, whereas other types of profiling, such as memory profiling, focus on understanding how memory is allocated and used. CPU profiling is particularly useful for identifying performance bottlenecks and optimizing application performance.