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system-design-101/data/guides/how-redis-architecture-evolve.md
Kamran Ahmed ee4b7305a2 Adds ByteByteGo guides and links (#106)
This PR adds all the guides from [Visual
Guides](https://bytebytego.com/guides/) section on bytebytego to the
repository with proper links.

- [x] Markdown files for guides and categories are placed inside
`data/guides` and `data/categories`
- [x] Guide links in readme are auto-generated using
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and populate the table of content in the readme. This ensures that any
future guides and categories will automatically get added to the readme.
- [x] Sorting inside the readme matches the actual category and guides
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2025-03-31 22:16:44 -07:00

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How Redis Architecture Evolved Explore the evolution of Redis architecture, from standalone to cluster. https://assets.bytebytego.com/diagrams/0223-how-redis-architecture-evolve.png 2024-03-04 false
caching-performance
Redis
Architecture

Redis Architecture Evolution

Redis is a popular in-memory cache. How did it evolve to the architecture it is today?

2010 - Standalone Redis

When Redis 1.0 was released in 2010, the architecture was quite simple. It is usually used as a cache to the business application.

However, Redis stores data in memory. When we restart Redis, we will lose all the data and the traffic directly hits the database.

2013 - Persistence

When Redis 2.8 was released in 2013, it addressed the previous restrictions. Redis introduced RDB in-memory snapshots to persist data. It also supports AOF (Append-Only-File), where each write command is written to an AOF file.

2013 - Replication

Redis 2.8 also added replication to increase availability. The primary instance handles real-time read and write requests, while replica synchronizes the primary's data.

2013 - Sentinel

Redis 2.8 introduced Sentinel to monitor the Redis instances in real time. is a system designed to help managing Redis instances. It performs the following four tasks: monitoring, notification, automatic failover and configuration provider.

2015 - Cluster

In 2015, Redis 3.0 was released. It added Redis clusters.

A Redis cluster is a distributed database solution that manages data through sharding. The data is divided into 16384 slots, and each node is responsible for a portion of the slot.

Looking Ahead

Redis is popular because of its high performance and rich data structures that dramatically reduce the complexity of developing a business application.

In 2017, Redis 5.0 was released, adding the stream data type.

In 2020, Redis 6.0 was released, introducing the multi-threaded I/O in the network module. Redis model is divided into the network module and the main processing module. The Redis developers the network module tends to become a bottleneck in the system.