⏱️ 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.

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Automating Backup and Restore in Oracle 19c and 23ai: Complete DBA Guide

Production-Tested RMAN Automation Scripts and Recovery Strategies

📅 February 05, 2026

👤 Chetan Yadav - Senior Oracle & Cloud DBA

⏱️ 18-20 min read

⏱️ Estimated Reading Time: 18–20 minutes

💾 Oracle RMAN Automation - From Manual Backups to Fully Automated Recovery

At 3 AM on a Tuesday, our production Oracle 19c database crashed. Corrupted datafile. The application team was screaming. The CTO was on the call. Everyone looked at me.

I typed one command: ./restore_prod.sh PRODDB 2026-02-04_23:00. Twenty-three minutes later, the database was back online with zero data loss. The automated backup and restore framework I'd built six months earlier just saved our jobs.

Manual backup and restore processes are where Oracle DBAs lose the most time. Automating RMAN backups isn't about convenience—it's about reliability, consistency, and being able to restore in minutes instead of hours when production is down.

This guide covers production-tested automation frameworks for Oracle 19c and 23ai. If you're still running manual RMAN scripts or struggling with backup consistency, these patterns will save you hours every week and make disaster recovery predictable.

Multi-Cloud Database Architecture: Oracle, AWS, Azure, GCP Reference Guide (2026)

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Multi-Cloud Database Architecture: Oracle, AWS, Azure, GCP Reference Guide

Production-Proven Reference Architectures for Enterprise DBAs

📅 February 04, 2026

👤 Chetan Yadav - Senior Oracle & Cloud DBA

⏱️ 20-22 min read

⏱️ Estimated Reading Time: 20–22 minutes

☁️ Multi-Cloud Database Architecture - Oracle, AWS RDS, Azure SQL, GCP AlloyDB

Six months ago, our CTO announced we were moving to a "multi-cloud strategy." The board wanted vendor independence. Engineering wanted best-of-breed services. Finance wanted competitive pricing.

I was the DBA who had to make it actually work.

Designing multi-cloud database architecture isn't about running the same database everywhere. It's about knowing which workload belongs on which platform, how to synchronize data across clouds, and when vendor lock-in is actually acceptable.

This guide covers reference architectures from production systems running across Oracle on-premises, AWS RDS, Azure SQL Managed Instance, and GCP AlloyDB. If you're a DBA planning or managing multi-cloud databases, these are the patterns that work.

GCP AlloyDB Performance Tuning Guide: Oracle 19c Comparison for DBAs (2026)

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GCP AlloyDB Performance Tuning Guide: Oracle 19c DBAs' Complete Migration Handbook

What Works, What Doesn't, and What Performance Surprises to Expect

📅 February 03, 2026

👤 Chetan Yadav - Senior Oracle & Cloud DBA

⏱️ 18-20 min read

⏱️ Estimated Reading Time: 18–20 minutes

🚀 GCP AlloyDB vs Oracle 19c - Performance Tuning from a Veteran DBA's Perspective

Three months after our team moved a critical Oracle 19c OLTP system to GCP AlloyDB, the CFO asked in the quarterly review, "Are we seeing the 4x performance improvement Google promised?"

I had the AWR reports from Oracle and the performance metrics from AlloyDB. Same queries, same data volume, same transaction load. The answer was more nuanced than a simple yes or no.

Some queries ran 6x faster in AlloyDB. Others ran slower. The difference wasn't the database—it was understanding which PostgreSQL-based optimizations AlloyDB uses and how they compare to Oracle's approach.

This guide is what I learned comparing Oracle 19c performance tuning to GCP AlloyDB in production. If you're an Oracle DBA evaluating AlloyDB, this covers the performance differences that actually matter.

Azure Managed Instance Migration Checklist: Oracle DBA's Step-by-Step Guide 2026

Azure Managed Instance Migration Checklist for Oracle DBAs

Your Complete Pre-Migration, Migration, and Post-Migration Validation Guide

📅 February 02, 2026

👤 Chetan Yadav - Senior Oracle & Cloud DBA

⏱️ 16-18 min read

⏱️ Estimated Reading Time: 16–18 minutes

☁️ Azure Managed Instance Migration - Enterprise-Grade Oracle to Cloud Migration

Two weeks before our planned Azure migration cutover, the project manager asked me, "We've tested the migration three times in dev. What could possibly go wrong in production?"

I showed him my checklist. Sixty-three items. He thought I was being overcautious. Until we hit production and discovered our application connection strings were hardcoded with Oracle-specific syntax that Azure SQL Managed Instance didn't support. The migration succeeded, but the application couldn't connect.

That's when he understood: migration isn't just moving data. It's validating every assumption about how your application interacts with the database.

This checklist represents lessons from five Azure Managed Instance migrations, including two that required emergency rollbacks. If you're an Oracle DBA planning an Azure migration, this is the checklist I wish I had on my first project.