
Explore Redis fundamentals, caching concepts, and how to install and use Redis across Windows, macOS, and Linux. Learn about client-server architecture, persistence, and clustering to build scalable back-end applications.
Redis is an in-memory key-value storage system that keeps data in RAM rather than a file system, enabling fast access and simple key-value operations.
Compare Redis in-memory storage with a DBMS file system, noting memory limits and data types such as textual data, and why Redis excels as a fast caching solution.
Explore how replication uses a master with multiple slaves to keep identical data across computers, boost read performance, and provide fault-tolerant disaster recovery through failover and backups.
Redis clustering distributes data across multiple computers to form a single, expandable data store without a fixed node count or master/slave setup; the next video covers replication and node-failure drawbacks.
In this course we’re going to take a look at Redis. Redis isn’t exactly a database: it’s not relational or document-oriented. Instead, it’s a key-value store—every “record” is just label and a piece of data. That might sound boring, but I think you’ll find that Redis has a lot to offer.
Key-Value store is a storage system where data is stored in form of key and value pairs. When we say in-memory key-value store, by that we mean that the key-value pairs are stored in primary memory(RAM). So we can say that Redis stored data in RAM in form of key-value pairs.
Redis is used by many large websites to inplement caching on their backend.