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In this chapter, we’ve explored a number of ways to reduce memory use in Redis using short data structures, sharding large structures to make them small again, and by packing data directly into STRINGs.
If there’s one thing that you should take away from this chapter, it’s that by being careful about how you store your data, you can significantly reduce the amount of memory that Redis needs to support your applications.
In the next chapter, we’ll revisit a variety of topics to help Redis scale to larger groups of machines, including read slaves, sharding data across multiple masters, and techniques for scaling a variety of different types of queries.
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