ClickHouse Cloud provides a set of system tables that can be used to monitor and diagnose issues with INSERT statements, such as asynchronous inserts, synchronous inserts, and parts/partitions. The blog post shares some common SQL queries to benefit the self-managed community, including monitoring insert bulk requests, total written rows, memory and CPU usage for inserts, and parts/partition metrics. These queries can help identify potential issues early on, allowing users to deliver a better ClickHouse experience. By using these queries, users can also gain insights into resource consumption, partitioning, and part creation, which can inform tuning strategies and improve overall performance.