Home About Contact Privacy Policy Disclaimer

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)

Home About Contact Privacy Policy Disclaimer

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)

Home About Contact Privacy Policy Disclaimer

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.