⏱️ Reading Time: 10–12 minutes

Top-10 Wait Events Query (Universal Database Performance Tuning)

It’s a peak business hour. Users complain the application is “slow,” dashboards look normal, CPU is not maxed out, and storage graphs look fine. Someone asks the classic question:

“The database is up… so why is everything waiting?”

This is the exact moment where strong DBAs look at wait events instead of guessing. Understanding the top-10 wait events is not just a tuning skill —it’s a career-defining mindset.

GitHub Actions for DBAs: Automating Oracle Database Scripts and Deployments

CI/CD Pipelines for Database Professionals - Real Production Workflows

📅 February 23, 2026

👤 Chetan Yadav - Senior Oracle & Cloud DBA

⏱️ 13-14 min read

⏱️ Estimated Reading Time: 13–14 minutes

🔄 From Manual SQL Scripts to Automated CI/CD - GitHub Actions for Database Teams

The schema deployment failed at 2 AM. Again. The junior DBA forgot to run the prerequisite script before the main DDL. The application team was furious. Rollback took three hours because we had to manually trace which changes had been applied.

That's when I realized: developers have been using CI/CD for years. Why are DBAs still running scripts manually?

GitHub Actions isn't just for application developers. DBAs can automate schema deployments, backup validation, monitoring scripts, and database testing using the same CI/CD principles—with workflows triggered automatically on git push, pull request, or schedule.

This guide covers production-tested GitHub Actions workflows for Oracle DBAs. If you're tired of manual script execution, inconsistent deployments, and "it worked on my machine" problems, these patterns will transform your database operations.

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Oracle to PostgreSQL SQL Conversion Guide: Real-World Examples for DBAs

Complete Syntax Mapping, Function Conversion, and PL/SQL to PL/pgSQL Migration

📅 February 06, 2026

👤 Chetan Yadav - Senior Oracle & PostgreSQL DBA

⏱️ 22-24 min read

⏱️ Estimated Reading Time: 22–24 minutes

🔄 Oracle → PostgreSQL - Real Production SQL Conversions with Before/After Examples

We had 847 stored procedures written in Oracle PL/SQL. The CTO announced we were moving to PostgreSQL to cut licensing costs by $200,000 annually. The migration deadline was three months away.

I spent the first week manually converting procedures. At that pace, I'd finish in 18 months. That's when I realized: most Oracle-to-PostgreSQL conversions follow predictable patterns. Once you know these patterns, conversion becomes systematic, not guesswork.

Oracle to PostgreSQL migration isn't about rewriting everything from scratch. 70-80% of SQL works with minor syntax adjustments. The remaining 20-30% requires understanding key differences in how each database handles data types, functions, and procedural logic.

This guide covers real production SQL conversions from Oracle to PostgreSQL. If you're an Oracle DBA planning a PostgreSQL migration, these are the patterns, gotchas, and solutions that actually work.