PostgreSQL common issues include as A DBA

1. Performance tuning:

• Inefficient queries
• Poorly designed schema
• Inappropriate indexing
• Suboptimal configuration settings

2. Backup and recovery:

• Ensuring consistent and reliable backups
• Point-in-time recovery
• Managing backup storage and retention

3. High availability and replication:

• Setting up and managing replication solutions (e.g., streaming replication, logical replication)
• Failover and switchover processes
• Load balancing and connection pooling

4. Security:

• Authentication and authorization
• Data encryption (both at rest and in transit)
• Regular security patches and updates
• Auditing and monitoring access

5. Database migration:

• Migrating from other databases (e.g., MySQL, Oracle) to PostgreSQL
• Version upgrades (major and minor)
• Data consistency and integrity during migration

6. Storage management:

• Managing disk space and tablespace allocation
• Handling large objects (BLOBs and CLOBs)
• Vacuum and autovacuum processes

8. Monitoring and troubleshooting:

• Identifying and diagnosing performance bottlenecks
• Monitoring database health and usage
• Log analysis and management
• Handling deadlocks and lock contention

9. Scalability and capacity planning:

• Horizontal and vertical scaling
• Resource management (CPU, memory, I/O)
• Forecasting and planning for growth

11. Integration with other tools and technologies:

• Working with external data sources (e.g., foreign data wrappers)
• Integration with third-party tools and platforms
• Supporting different programming languages and frameworks

12. Keeping up with new PostgreSQL features and best practices:

• Staying current with PostgreSQL updates and improvements
• Adapting to new technologies and methodologies
• Ongoing learning and skills development

Remember that this list is not exhaustive, and there might be other issues that PostgreSQL DBAs face.

Thanks for reading this.