When considering table partitioning in PostgreSQL, it's essential to evaluate factors such as table size, ingestion rate, query performance degradation, and maintenance overhead before deciding if partitioning is beneficial for your use case. Partitioning can offer significant advantages like improved query performance, optimized index sizes, and more efficient data maintenance operations, but it may not be suitable for every situation, especially when dealing with uniform data access patterns or frequent full scans. To implement partitioning effectively, choose the right partition size, keep partitions relatively uniform in size, select a consistent partitioning key, create partitions in advance, utilize data retention policies, and optimize queries. Common pitfalls to avoid include over-partitioning, inefficient indexing, unoptimized query patterns, running out of partitions, and monitoring disk usage. By considering these factors and following best practices, you can harness the power of table partitioning to improve your PostgreSQL database's performance and scalability.