How to Automate Java Stack Trace Extraction with Python
Learn how to use Python to parse complex Java application logs, extract unique stack traces, and convert them to structured JSON for faster debugging.
Welcome to my personal workbench. Here, I share practical, ultra-simple recipes designed to turn repetitive manual work into one-click “superpower unlocks”. From cleaning up messy folders to automating your inbox, these are the real-world hacks I’ve used throughout my career as a Senior Principal Engineer to reclaim my time. Let’s stop doing the “boring stuff” and start building together.
Learn how to use Python to parse complex Java application logs, extract unique stack traces, and convert them to structured JSON for faster debugging.
Learn how to use Python to automate the migration of legacy javax namespaces to the new jakarta namespaces in your Jakarta EE projects.
Automate sentiment analysis and ticket categorization using Python and OpenAI Structured Outputs. Process unstructured data into clean JSON reports.
Learn how to use Python and the oracledb driver to automate SQL query exports and database health monitoring into timestamped JSON files.
Learn how to automate the conversion of PyTorch models to production-ready TorchScript binaries using Python for seamless MLOps integration.
Build a professional-grade Python automation script to organize messy directories into categorized folders using pathlib and shutil.
Automate PHP error tracking. Use this Python script to monitor php-fpm logs in real-time and send instant alerts to your team.
Learn how to build a Python script using the Docker SDK to automatically remove stale containers, images, and volumes to save disk space.
Learn how to build a production-ready Python script to automate file organization using pathlib and shutil for cleaner workflows.
Learn how to automate long-running file processing tasks using FastAPI BackgroundTasks for a scalable fire-and-forget professional workflow.