Modifying shared entities (templates, item/trigger prototypes) forces the Zabbix frontend to propagate changes to all inherited or discovered entities within a single, monolithic database transaction.

On large-scale environments, updating a widely assigned template or a heavy prototype triggers a massive cascading database operation. For example, if a template generates 500 items via LLD and is linked to 100 hosts, updating one prototype pushes a huge UPDATE statement in one operation block. 

This architecture causes several critical operational issues:

• Frontend: Pushes PHP past max_execution_time thresholds and triggers PHP timeouts
• DB Limits: Exceeds database transaction size limits, WAL capacity, or maximum memory allocation per transaction.
• Locking: Long-running updates lock core configuration tables, which blocks the Zabbix server configuration syncer and creates replication lag.

It should be really nice to implement a chunking/batching mechanism within the frontend and API engine for configuration updates:

• Split mass entity updates into distinct chunks.

• Execute and commit each chunk in its own separate database transaction.

• Implement error handling to manage partial failures safely without locking or corrupting the remaining configuration.