Whole-system Continuous Profiling Platform
Profile everything: All systems, all code, all the time. Improve efficiency. Debug performance regressions. Reduce cloud spend.
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Prodfiler eliminates performance blind spots and helped me reduce CPU usage of some workloads by more than 80%. The whole-system visibility helped me track performance issues that would otherwise be hidden.
Aviram Hassan
Backend Team Leader at Biocatch
See Prodfiler's key features in action
Prodfiler provides fleet-wide full-system continuous profiling. Understand what lines of code are consuming CPU resources, at all times, and across your entire infrastructure. Identify performance regressions, wasteful computation and other issues.
Frictionless Deployment
It just works.
Prodfiler does not require any application source code change, instrumentation, on-host debug symbols or other intrusive operation. Just deploy the agent and receive profiling data a few minutes later.
All the Languages
C/C++, Rust, Go, PHP, Python, Java, Scala, Ruby, Perl (with .NET and Node.js coming soon!)
Prodfiler supports almost all popular language runtimes. We support native C/C++, Rust and Go code, even without debug symbols, as well PHP, Python, Java, Scala, Ruby and Perl. Support for NodeJS and .NET are coming soon. Prodfiler even supports mixed-language stack traces - Python or Java code calling native code and then calling into the kernel? No problem!
Containerised Environments
Kubernetes, Nomad, Docker Swarm, or individual Docker containers.
Prodfiler has first-class support for all the major containerisation and orchestration frameworks, whether you are running them on your own platform or on top of a managed Kubernetes platform, such as GKE, AKS or EKS. Of course we also support non-containerised environments!.
Whole-System Visibility
Unwind from kernel space through userspace libraries into high-level code.
Prodfiler builds stack traces that go from the kernel, through userspace native code, all the way into code running in higher level runtimes, enabling unprecedented insight into your system’s behaviour at all levels.
Extremely Low Overhead
Always-on profiling, in production, with negligible overhead for most workloads.
Prodfiler aims to stay within a budget of 1% of CPU usage and less than 250MB of RAM, meaning that for most workloads it can run 24/7 with no noticeable impact on the profiled systems. For workloads where even this CPU budget is too high, Prodfiler can run at randomly selected time intervals to gain insights with an even lower impact on performance.
Powerful UI
Identify your most expensive lines of code and explore the performance of your entire fleet.
The Prodfiler UI identifies your most expensive lines of code and functions, providing estimates of their dollar cost and CO2 usage. Featuring responsive and easy to use flame-graphs and call-graphs, you can explore the performance of your entire fleet in one location.
Frictionless Deployment
It just works.
All the Languages
C/C++, Rust, Go, PHP, Python, Java, Scala, Ruby, Perl (with .NET and Node.js coming soon!)
Containerised Environments
Kubernetes, Nomad, Docker Swarm, or individual Docker containers.
Whole-System Visibility
Unwind from kernel space through userspace libraries into high-level code.
Extremely Low Overhead
Always-on profiling, in production, with negligible overhead for most workloads.
Powerful UI
Identify your most expensive lines of code and explore the performance of your entire fleet.
Prodfiler does not require any application source code change, instrumentation, on-host debug symbols or other intrusive operation. Just deploy the agent and receive profiling data a few minutes later.
Prodfiler supports almost all popular language runtimes. We support native C/C++, Rust and Go code, even without debug symbols, as well PHP, Python, Java, Scala, Ruby and Perl. Support for NodeJS and .NET are coming soon. Prodfiler even supports mixed-language stack traces - Python or Java code calling native code and then calling into the kernel? No problem!
Prodfiler has first-class support for all the major containerisation and orchestration frameworks, whether you are running them on your own platform or on top of a managed Kubernetes platform, such as GKE, AKS or EKS. Of course we also support non-containerised environments!.
Prodfiler builds stack traces that go from the kernel, through userspace native code, all the way into code running in higher level runtimes, enabling unprecedented insight into your system’s behaviour at all levels.
Prodfiler aims to stay within a budget of 1% of CPU usage and less than 250MB of RAM, meaning that for most workloads it can run 24/7 with no noticeable impact on the profiled systems. For workloads where even this CPU budget is too high, Prodfiler can run at randomly selected time intervals to gain insights with an even lower impact on performance.
The Prodfiler UI identifies your most expensive lines of code and functions, providing estimates of their dollar cost and CO2 usage. Featuring responsive and easy to use flame-graphs and call-graphs, you can explore the performance of your entire fleet in one location.
How it works
Get started with Prodfiler by following these easy steps.
Sign up with Prodfiler
Register for an account and create your first project.
Deploy the agent
Deploy the Prodfiler agent to individual machines, or to your entire cluster.
Optimize!
Using the Prodfiler UI, explore the most expensive lines of code and functions across your entire fleet. Identify performance bottlenecks and cost-saving opportunities.
Supported Languages & Platforms
Prodfiler currently supports C/C++, Rust, Go, PHP, Python, Java, Scala, Ruby and Perl, with support for .NET and Node.js coming soon. Prodfiler works in both containerised and non-containerised environments, so whether you’re deploying individual Docker containers, or running large Kubernetes clusters on a managed platform we’ve got you covered!
Resources
Learn more about continuous in-production profiling and it's impact on performance and cost!
- Read our performance blog 06 Aug 2021
- Subscribe to our newsletter 06 Aug 2021