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Redis Streams, a data structure available since Redis 5.0 enables you to use Redis Enterprise as a high-speed, in-memory, streaming database. Redis Streams can be used to collect and distribute data in many solutions in AI, IoT, fraud detection, messaging, and so on.
In this tutorial, you will learn not only how Redis Streams works, but also how to build a sample application that uses Redis Streams. The tutorial is organized into three chapters.
In this chapter, you’ll explore how you can add data to a stream, and how you can read that data (all at once, asynchronously, as it arrives, etc.) to satisfy different consumer use cases.
A consumer group is a way to split a stream of messages among multiple clients to speed up processing or lighten the load for slower consumers; its aim is to scale out your data consumption process. In this chapter, you will learn how to use consumer groups to distribute your data load, and how to recover from
In this chapter, you will read about the design components of a Redis Streams application. The chapter also explains how to run and test your application and how to verify your data.
Collect large volumes of data arriving in high velocity (the only bottleneck is your network I/O);
Create a data channel between many producers and many consumers
Effectively manage your consumption of data even when producers and consumers don’t operate at the same rate
Persist data when your consumers are offline or disconnected
Communicate between producers and consumers asynchronously
Scale your number of consumers
Implement transaction-like data safety when consumers fail in the midst of consuming data
Use your main memory efficiently
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