How I Automated Financial Processes with Rundeck and Python: A Real Open Source Transformation Case

In an increasingly data-driven world, the response time of a financial system can mean not only monetary losses but also reputational damage. Automating processes that were previously done manually is no longer a luxury — it has become a matter of survival.

Working with monitoring and infrastructure, I faced a real challenge: a payments department with numerous operational processes, constant manual restarts, and an excessive dependency on human actions in critical systems. The solution? Open source with intelligence: Rundeck + Python.

The Problem

Our scenario was familiar to many:

• Unstable payment applications during specific peak hours;
• Operational teams wasting hours on restarts and manual checks;
• Lack of objective data to explain failures or justify delays;
• DevOps team overload.

It was time to do things differently.

The Solution: Rundeck + Python Scripts

The first step was adopting Rundeck, an open-source tool for task orchestration. Through it, I was able to:

• Create secure jobs to restart critical applications;
• Schedule automated tasks;
• Standardize routines with logs and permissions;
• Drastically reduce the need for manual commands.

But I went further. I also developed Python scripts focused on:

• Monitoring payment APIs;
• Collecting indicators such as response times and error rates per endpoint;
• Automated alerts and reports sent via email;
• A simple dashboard for the finance team to visualize failures and flows.

The Results

After 3 months of implementation:

• 🔁 80% reduction in manual actions related to failures;
• ⏱ 10x faster reaction to production incidents;
• 🧠 DevOps team with more time for innovation and strategy;
• 📊 Development team with access to technical data in an understandable format.

All of this was achieved without spending on expensive licenses — simply by leveraging accessible and powerful tools.

Final Reflection

This experience proved one thing: the combination of automation and business intelligence is capable of transforming an entire sector. Automating is not just about saving time — it’s about increasing predictability, avoiding losses, and giving the team the freedom to think about the future.

If you are still fighting fires every day, maybe it’s time to start from the foundation: automate. And if possible, do it with tools that give you freedom, like open source.