Chapter 8. Scaling Redis (Beyond a Single Instance)
This chapter will show alternative ways to scale Redis horizontally (using multiple instances rather than adding resources to a single instance) using concepts such as persistence, replication, and partitioning. Understanding these concepts is crucial to scale Redis beyond a single instance. By the end of this chapter, you should be able to work with multiple Redis instances and understand the trade-offs of each approach.
Persistence
Since the beginning of this book, we have talked a lot about storing your data in memory using Redis. Memory is transient. Therefore, if a Redis instance is shut down, crashes, or needs to be rebooted, all of the stored data will be lost. To solve this problem, Redis ...
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