In this article, we'll explore the use of Redis to build scalable and performant services. We'll look at how Redis can be used to manage data in a variety of ways, including caching, session management, and pub/sub. We'll also discuss some of the challenges that come with using Redis and how to overcome them.
Rack attack redis services is a cloud-based service that provides a scalable, high-performance redis service. It is designed to handle large amounts of data and traffic.
Redis is an open source, in-memory data structure store, used as a database, cache, and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, and geospatial indexes with radius queries. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. In this article, we looked at how to deploy and manage a Redis service using the Rack Attack gem. We also looked at how to use Rack Attack to protect our Redis service from bad requests.