Caching: This should be the main function of Redis, and it is also an essential mechanism for large websites. Proper use of cache is not only It can speed up data access and effectively reduce the pressure on back-end data sources.
Shared Session: For some services that rely on the session function, if you need to change from a single machine to a cluster, you can choose redis to manage sessions uniformly.
Message queue system: The message queue system can be said to be an essential basic component of a large website because it has the characteristics of business decoupling and non-real-time business peak shaving. Redis provides publish and subscribe functions and blocking queue functions. Although it is not powerful enough compared with professional message queues, it can basically satisfy the general message queue functions. For example, in a distributed crawler system, Redis can be used to coordinate and manage the URL queue.
Distributed lock: in distributed service. Although it may not be commonly used, distributed locks can be written using Redis' setnx functionality.
Of course, functions such as rankings and likes can be implemented using Redis, but Redis cannot do everything. For example, when the amount of data is particularly large, Redis is not suitable. We We know that Redis is based on memory. Although memory is very cheap, if your daily data volume is particularly large, such as hundreds of millions of user behavior log data, the cost of using Redis to store it is quite high.
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