Table of contents
Redis high-availability deployment can adopt master-slave replication and sentinel architecture or Redis cluster architecture. The architecture diagrams, advantages and disadvantages, and specific application scenarios of the two architectures will be introduced below.
1. Master-slave replication and sentinel architecture:
Architecture diagram:
+----------+
| Client |
+----+-----+
|
+-------v-------+
| Sentinel |
+-------+-------+
|
+-------------+------------+
| Redis Master |
| |
| |
+-------------+------------+
|
+---------+---------+
| Redis Slave 1 |
| |
| |
+---------------------+
advantage:
- Simple and easy to understand: Compared with the Redis cluster, the configuration of the master-slave replication and sentinel architecture is relatively simple.
- Failover: Sentinel can automatically monitor the status of the master node and perform automatic failover when the master node fails, improving the availability of the system.
- Data redundancy: Through master-slave replication, the slave node can replicate the data of the master node, providing data redundancy, thereby enhancing data reliability.
shortcoming:
- Limited horizontal expansion capability: The master-slave replication architecture has limited horizontal expansion capability for large-scale data and high concurrent loads.
- Sentinel as a single point of failure: Sentinel itself can also be a single point of failure and needs to be deployed with due consideration and fault tolerance.
Application scenario:
- For small-scale data and relatively simple application scenarios, the master-slave replication and sentinel architecture is a viable choice.
- Scenarios that require rapid deployment and configuration, and do not require massive scale-out.
2. Redis cluster architecture:
Architecture diagram:
+-------------+ +-------------+
| Redis Node 1|----->| Redis Node 2|
+-------------+ +-------------+
| |
| +-------------+
+----->| Redis Node 3|
+-------------+
advantage:
- Horizontal expansion: Redis cluster can be expanded horizontally by adding new nodes to meet the needs of large-scale data and high concurrent load.
- High availability: Redis cluster automatically performs data fragmentation and data migration, providing high availability and load balancing.
- Decentralization: There is no single central node in the Redis cluster, which reduces the risk of single point of failure.
shortcoming:
- Complexity: Compared with master-slave replication and sentinel architecture, the configuration and management of Redis cluster architecture is more complicated.
- Data consistency: During data migration or node failure recovery, transient data inconsistencies may occur.
Application scenario:
- Application scenarios that need to handle large-scale data and high concurrent loads, such as high-traffic web applications and social networks.
- Scenarios that require horizontal scalability and high availability.
Summary:
Choosing an appropriate Redis high-availability deployment architecture depends on your application requirements and scenarios. If you need simple deployment and configuration, and the application scale is small, the master-slave replication and sentinel architecture may be a good choice. If horizontal scalability and high availability are required to handle large-scale data and high concurrent loads, the Redis cluster architecture is a better choice. No matter which architecture you choose, factors such as data backup, monitoring, and fault handling should be fully considered to ensure the stability and reliability of Redis high availability deployment.