Visualizing reqstat

The reqstat tool was written to provide a vmstat like output of total web requests happening in real time. This really lightweight monitoring leverages memcached and has a trivial impact for immediate benefit.

$ ./reqstat 5 5
  epoch,time,rps,avg_req,last,%comp,---,threshold,exceed,last_excess
  1307723122,162522,25,125.92,75.25,48,---,150,9,175.55
  1307723127,162527,24,107.33,6.97,48,---,150,6,188.45
  1307723132,162532,25,118.39,97.63,50,---,150,8,151.37
  1307723137,162537,22,120.51,88.62,42,---,150,5,168.56
  1307723142,162542,26,106.62,6.12,51,---,150,6,167.81

While this is useful, I can see 22-26 requests per second, averaging 106-120 ms, visualizing this gives more information immediately available like:

It is easy to look at an average and lose site of the larger picture. What are the outliers, how many are there? Visualizing of larger samples (a later example which will show 10,000 rps across multiple servers) shows that the granularity is also critical.

This graphic is produced with Flot . A very simply javascript library. You can also use gnuplot , an example script is included in github .

This output is the result of benchmarking, this being generated from reqstat output with a script in my monitor git repository.

Tagged with: Data Visualization

Related Posts

DataEngBytes Sydney Overview

I have just returned from my first DataEngBytes conference in Sydney. Here is a quick summary on my thoughts for the event. I plan to go into more detail on great points from presentations in later posts.

Read more

MITRE ATLAS - A 2025 Review

The MITRE ATLAS Matrix provides a working knowledge base of adversary tactics, techniques, and real-world case studies specifically for Artificial Intelligence (AI) and Machine Learning (ML) systems. It adapts the established MITRE ATT&CK adversary tactics and techniques matrix which is the standard reference for traditional IT cybersecurity.

Read more

Foundational Frameworks for GenAI Security Analysis

Three frameworks form the analytical foundation of this series’ threat analysis, selected for their complementary coverage of the GenAI security landscape and their broad adoption across enterprise security practices. The MITRE Adversarial Threat Landscape for AI Systems (MITRE ATLAS) maps tactics and techniques specific to AI systems.

Read more