Redis provides a wide variety of tools to improve efficient in-memory database usage, but misconfiguration can lead to operational challenges and performance issues. The replication process is particularly prone to issues, with the initial synchronization stage being trickier to complete than the ongoing stage. This can cause the replication timeout to be reached, leading to repeated attempts at synchronization and log messages indicating partial or full resynchronization not possible. To address this, it's essential to estimate the time needed for replication based on factors such as storage speed, dataset size, and network performance, setting a suitable replication timeout value that takes these factors into account. Regular review of the timeout setting is also crucial as databases grow. By understanding and configuring Redis' replication settings effectively, developers can ensure their database remains available and scalable.