What is GiAPA – and Why Should You Care?

You probably already know that IBM Power i systems are incredibly stable. But stability doesn’t mean efficiency – and it certainly doesn’t guarantee optimal performance.

That’s where GiAPA comes in.

I originally developed GiAPA because I kept seeing the same challenge over and over again: IT teams struggling to understand what their systems were actually doing. Jobs that ran too long. Resources that were tied up without a clear reason. And nobody had the tools to see the full picture.

So, I built one.

GiAPA in a nutshell

GiAPA (Graphical iSeries Performance Analyzer) is a tool designed to help you understand – in detail – how your IBM Power i system is being used.

It collects and analyzes performance data continuously, with minimal impact on your system (typically less than 0.1% CPU). The data is then transformed into visual reports, so you can see exactly where the bottlenecks are, what’s using resources, and what can be improved.

And unlike many other tools, GiAPA doesn’t just monitor – it explains. It gives you the why, not just the what.

Who is it for?

GiAPA is used by:

• IT departments who want to optimize their systems
• Consultants who need deep insight into client environments
• Developers troubleshooting long-running jobs or inefficient SQL
• Managers who want clear documentation of system use and performance

Whether you run a small business or a large global enterprise, GiAPA helps you make smarter decisions – backed by real data.

What makes GiAPA different?

• ✅ Low impact data collection – You can run it 24/7 without affecting performance.
• ✅ Automated analysis – Assistance from external performance experts not needed.”.
• ✅ Visual output – Graphs and tables that make it easier to explain findings to colleagues or clients.
• ✅ Designed for IBM Power i – No generic tooling here. GiAPA is built specifically for this platform.

Want to see it in action?

Get in touch, and we’ll be happy to give you a walk-through – or send you a sample report. GiAPA speaks for itself.