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Trevor Sullivan covers the Redis cache service: what it is, what it does, and how it helps. It's an open source tool that runs as a service in the background that allows you to store data in memory for high-performance data retrieval and storage. That's the technical explanation, but watch on to hear about how useful it is for all manner of use cases.
Imagine you have a web application that's running inside a Docker container or directly on a server. If that web application needs to retrieve some data from a database like MySQL, PostgreSQL or MS SQL, that query could take anywhere between 15 and 60 seconds.
If you have a user waiting up to a minute for the performance of that report data or whatever data the user is trying to receive, you're going to have an unhappy user. A redis cache speeds all that up.
It's possible to store data inside of a Redis cache instance and make the retrieval of that data occur directly from memory (RAM) from a server that's running the Redis service - rather than making the application go all the way back to the database. Instead, the web server can check with Redis if it has the data it wants.
Redis isn't particularly valuable when it's standing in-between one web server and a database. But, what if you're running a large scale fleet of hundreds of webservers? One Redis cache can pool the requests and answers for all those webservers so that they don't have to individually go all the way to the database each time.
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#redis #docker #mysql #ittraining #cbtnuggets
30 сен 2024
