Production Performance Profiler

Optimize, troubleshoot and monitor Go, Node.js and Python applications.

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From the Hub

Profiling Most Relevant Sections of the Application
- November 18, 2017
- CPU Profiling, Golang, Memory profiling, Node.js
Long-running applications are not always busy doing work. In case of, for instance, web, serverless or microservice applications, the work is done on every request and the processes are idle the rest of the time. Similarly, if the program is processing messages from the queue, it may be idle when it is waiting for messages. […]

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Go Profiler Internals
- November 11, 2017
- CPU Profiling, Golang, Memory profiling, pprof
Profilers provide application developers with critical execution insights that enable resolving performance issues, locating memory leaks, thread contention, and more. Although hot code stack traces and call graphs generated by the profilers are usually self-explanatory, it is sometimes necessary to understand how profilers work underneath to infer even greater details about applications from the generated […]

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Understanding Application Footprint on Infrastructure with Code-Level Detail
- October 29, 2017
- Golang, Infrastructure, Node.js, Python
Understanding application resource consumption The nature of the application defines its resource impact on infrastructure. An application, which stores a lot of session data, will have big memory footprint. An application that processes data may have more CPU footprint. Depending on the traffic or the number of data being processed, an application will be scaled […]

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AWS Lambda CPU and Memory Profiling (Node.js)
- October 13, 2017
- AWS Lambda, Node.js, Serverless
Profiling cloud applications Performance profiling is essential for optimizing and fixing application’s resource consumption, response time and failures. A performance issue without an execution profile is like an error without a stack trace. It will lead to a lot of manual work to get to the root cause. Profiling cloud applications and functions such as […]

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AWS Lambda CPU and Memory Profiling (Python)
- October 7, 2017
- AWS Lambda, Python
Profiling cloud applications Performance profiling is essential for optimizing and fixing application’s resource consumption, response time and failures. A performance issue without an execution profile is like an error without a stack trace. It will lead to a lot of manual work to get to the root cause. Profiling cloud applications and functions such as […]

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Continuous Performance Profiling
- October 3, 2017
- CPU Profiling, Golang, Memory profiling, Node.js, Python
Computational complexity requirements The difference between exponential, linear, logarithmic and constant execution time of a program is critical for various use cases. Even if an algorithm is purposely designed to satisfy a certain complexity class, there are multiple reasons why it might not. An underlying library, OS or even hardware can be the root cause […]

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Continuous CPU Profiling for Python Applications
- July 21, 2017
- CPU Profiling, Python
There are multiple reasons a program will consume more CPU resources than excepted. In case of high computational complexity of an algorithm, the amount of data it operates on will drive the CPU usage. For I/O intensive programs, data processing may be the bottleneck. Garbage collection activity is another usual suspect. To optimize or troubleshoot […]

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Detecting and Locating Memory Leaks in Production Python Applications
- July 1, 2017
- Memory profiling, Python
A reference to an object, if not properly managed, may be left assigned even if unused. This usually happens on an application logic level, but can also be an issue inside of an imported package. If memory leak appears in production environment, it is very hard to detect and fix it in development or staging […]

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StackImpact Golang Agent 2.0
- June 19, 2017
- Golang
The main focus in development of the version 2.0 of the Go agent was to improve reliability and reduce agent overhead by upgrading and tuning the profiling capabilities. Here is the summary of main changes: Some of the profiles in version 1.x were relying on Go’s tracer, which records every blocking event. It has high […]

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Profiling Most Relevant Sections of the Application

November 18, 2017
Go Profiler Internals

November 11, 2017
Understanding Application Footprint on Infrastructure with Code-Level Detail

October 29, 2017
AWS Lambda CPU and Memory Profiling (Node.js)

October 13, 2017
AWS Lambda CPU and Memory Profiling (Python)

October 7, 2017
Continuous Performance Profiling

October 3, 2017
Continuous CPU Profiling for Python Applications

July 21, 2017
Detecting and Locating Memory Leaks in Production Python Applications

July 1, 2017
StackImpact Golang Agent 2.0

June 19, 2017

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2. CONFIGURE
Add the StackImpact agent to you application in minutes. See documentation for setup instructions.

3. ANALYZE
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Continuous Performance Profiling

Learn more about StackImpact’s features.

Improve Application Performance

Application downtime and bad performance are proven to have a profoundly negative impact on customer retention, conversion rates and other business metrics. The ability to instantly identify and remove application bottlenecks is critical. Continuous profiling of Golang, Node.js and Python applications enables resolution of high CPU load, memory leaks and other issues before they impact customers.

Optimize Server Infrastructure

Most of the computing resources are consumed in just a few places in the code. Continuous visibility and optimization of execution hot spots results in significantly less infrastructure and better capacity planning. StackImpact enables this with automatic, low-overhead production profiling of Golang, Node.js and Python applications and visualization of the impact on infrastructure with line-of-code precision.

StackImpact

Production performance profiler

Production Performance Profiler

From the Hub

Profiling Most Relevant Sections of the Application

Go Profiler Internals

Understanding Application Footprint on Infrastructure with Code-Level Detail

AWS Lambda CPU and Memory Profiling (Node.js)

AWS Lambda CPU and Memory Profiling (Python)

Continuous Performance Profiling

Continuous CPU Profiling for Python Applications

Detecting and Locating Memory Leaks in Production Python Applications

StackImpact Golang Agent 2.0

Continuous Performance Profiling

Improve Application Performance

Optimize Server Infrastructure

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