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PRODUCTION PROFILING,
MADE EASY

An open-source, continuous profiler for production – across any environment, at
any scale.


Free installation
How it works


THE MUST-HAVE TOOL FOR PERFORMANCE AND COST OPTIMIZATION

gProfiler enables any team to leverage cluster-wide profiling to investigate
performance with minimal overhead.

By continuously analyzing code performance across your entire environment, you
can optimize the most resource-consuming parts of your code, improve application
performance, and reduce costs.

Within minutes of installing gProfiler, we gained system-wide visibility into
production that helped us identify a bottleneck that was hogging 20% of our CPU.
Oleg Rabin Core Team leader
Perception Point


PRODUCTION PROFILING,


MADE EASY

Start Profiling Now


WHAT IS PRODUCTION PROFILING?

Production profiling is a way to view and understand code-level performance to
identify bottlenecks and map optimization opportunities. Profiling unveils
inefficient hotspots in your code that hog critical resources, such as memory
and CPU, resulting in higher infrastructure costs and sub-optimal performance.

Tech giants like Netflix and Google use production profiling to optimize
performance and infrastructure costs.




PROFILE. INVESTIGATE. OPTIMIZE.

It takes minutes to deploy gProfiler cluster-wide, with no code changes or
deployment modifications.

Works for distributed environments, like Kubernetes, big data, and stream
processing workloads

Our out-of-the-box broad language support provides a system-wide view into any
environment.

From native stacks to proprietary code, we have you covered. All the
Languages-Clojure, Scala, C/C++, Ruby, Java, Python, JS, PHP, Go

Gain complete visibility without SLA performance degradation.

Based on eBPF technology to assure less than 1% utilization penalty


PRODUCTION PROFILING,


MADE EASY

Start Profiling Now


CERTIFIED SOC 2 COMPLIANT

We adhere to the highest standards of software security compliance, so you can
rest assured that your organization’s data remains fully protected.


3 STEP PROCESS


01 INSTALLATION

Install gProfiler with a single command line and zero code changes


02 PROFILING

Continuously profile your production code down to the last line of code, in any
environment, to get the complete picture.


03 OPTIMIZATION

Optimize performance by fixing, rolling back, or rewriting methods impacting
performance to improve CPU utilization and reduce cluster size.




01 INSTALLATION

Install gProfiler with a single command line and zero code changes


02 PROFILING

Continuously profile your production code down to the last line of code, in any
environment, to get the complete picture.


03 OPTIMIZATION

Optimize performance by fixing, rolling back, or rewriting methods impacting
performance to improve CPU utilization and reduce cluster size.









WHY GPROFILER?


ALWAYS-ON, CONTINUOUS PROFILING

With our always-on approach, gProfiler continuously samples the CPU, allowing
you to investigate performance at any given time to
 * See the impact of version releases
 * Understand the performance impact of new features
 * Compare deployments and isolate performance issues


CLOUD-BASED INTERFACE

gProfiler includes a SAAS offering, displaying the profiling data in a variety
of views.

Profile any timeframe at any granularity to get the most accurate view of your
environment, pinpoint optimization opportunities, and improve application
performance.


GPROFILER IS OPEN SOURCE AND FREE

Commoditizing performance for all developers is fundamental to our mission;
that’s why we’re committed to supporting and expanding the open-source
repository over time.


PROFILING IS BETTER TOGETHER

gProfiler was built as a collaboration tool to allow your entire team to
investigate together.

 


LOW OVERHEAD PYTHON APPLICATION PROFILING USING EBPF

Walk with us through CPython internals and PyPerf. Get a comparison to
traditional profiling methods and learn about the benefits of basing on eBPF vs.
user-land, system-calls-based profilers, and how eBPF provides unique
seamlessness and full transparency for Python applications.

Read more

 * Blog
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Menu
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Start Profiling Now



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