To avoid lock issues in a highly complex implementation, what should be considered regarding lookup skew?

In the context of avoiding lock issues in complex Salesforce implementations, taking proactive measures in architecture is essential. Proactive architectural measures involve planning the design and structure of your data model to minimize the risks associated with lookup skew. Lookup skew refers to a scenario where a large number of child records are associated with a single parent record, leading to potential locking and performance issues when these records are frequently edited or updated.

By adopting proactive strategies such as segmenting data into more manageable structures, ensuring proper record associations, and maintaining a balanced number of child records related to each parent, the overall system becomes more resilient to lock scenarios. This approach allows for smoother operations, reduces contention among records, and can enhance overall performance and user experience.

While managing the number of lookup fields and creating more parent records can contribute positively to the structure, they do not inherently address the systemic design issues that proactive architecture can resolve. Carelessness in record associations, while a concern, can be mitigated through careful architectural planning, reinforcing the importance of a well-thought-out design to prevent issues before they arise.