As promised in our previous blog on Redis Performance tunning and Best practices, we have explored more best practices and optimizations in Redis as a cache and database management system. This blog will share some new findings and optimizations we learned in our previous blog’s delta period.
We know that Redis is a high-speed and flexible data storage that can fulfill different cache and database requirements. But if a system is not configured and tested correctly, even a fast and reliable one can quickly become limited. Here we will talk about the different needs of Redis as a system and how we can optimize it further to fully use it.
So while consulting and collaborating with different Redis architects from Redis Labs, I learned different ways of designing a performance-grade, highly available, and secure Redis architecture. Based on my learning, I would like to categorize it into these dimensions:-
- Right-sizing and deployment of Redis setup.
- Proxy and connection pooling.
- Use the correct data type for storing keys.
- Sharding and replication strategy.
