How GiAPA Collects and Analyzes Performance Data – Without Slowing Down Your System

You might think that monitoring system performance means adding more load to your system. That’s a reasonable concern – and a common reason why performance tools are often used only in emergencies.

But that’s exactly what I wanted to avoid when developing GiAPA.

GiAPA is designed to run continuously in the background, quietly collecting performance data without disturbing the system it monitors. In most environments, the CPU load from GiAPA stays below 0.1%. That means you can keep it running around the clock – and still sleep soundly.

What kind of data does GiAPA collect?

GiAPA gathers a wide range of performance metrics:

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22 types of resource usage, plus call stack data and open file information when a job uses any significant CPU. This data is sufficient to a wide range of analyses of the workload, reasons for delays, trends, and more.

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All of this happens without the need for complex configuration or constant tuning. You install it, start the collection – and GiAPA takes care of the rest.

How often is data collected?

By default, GiAPA collects data every 15 seconds. It’s frequent enough to catch short-term spikes, and long enough to keep resource usage negligible.

If you need more granularity for troubleshooting, the interval can be shortened temporarily for a given job.

And what about security?

That’s another thing I took seriously from the start. GiAPA collects performance data – not business data. It doesn't read the contents of files, user input, or anything confidential. No data is sent outside your system unless you export it.

In other words: you get deep insight without compromising data security or privacy.

Why does this matter?

Because performance issues don’t always shout. Sometimes, they creep in slowly.

By collecting data continuously – without slowing anything down – GiAPA helps you spot those patterns early, long before they become real problems.