1. Rapid Performance

Catalyst cache can reduce the data access time and latency, speeding up the I/O operations by a considerable amount. This increases the throughput of data transmission, and serves read and write requests with exceedingly fast response times.

  1. Auto-Scaling

Catalyst cache can auto-scale to provide the required space and resources when the load increases. It maintains the consistency of its performance and scales up the data tiers based on the application’s fluctuating needs. Auto-scaling ensures that your application stays reliable, and reduces app failures significantly.

  1. Fully-Managed Backend

You can implement the Catalyst cache in your serverless application without having to directly manage or handle its architecture. This also prevents the need for you to implement the services of a cache provider in your application by yourself.

This helps you avoid handling the scalability, setting up and configuring the environment, or partitioning the server to your requirements manually. Catalyst handles all the back-end functionalities of Redis, ensuring a faster application development.

  1. Fail-Safe and Automatic Failure Handling

Redis accommodates both in-memory and on-disk persistence features. The in-memory storage enables faster access of data, and the on-disk persistence ensures that the data is stored in a non-volatile memory and is available at any point of time.

Catalyst also provides automatic failure handling, which helps you avoid monitoring or performing failure recovery tasks manually.

  1. Ease of Access

You can work with Catalyst cache from the Catalyst console and implement it in your application using the APIs.

In the Catalyst console, you can create a cache segment, rename a segment, delete a segment, create a cache item, edit a cache item, and delete a cache item using the Catalyst console.

  1. Usage Reports

You can find reports of your Catalyst cache usage from the Catalyst console. Metrics displays the following usage information of cache: Number of Segments, Number of Keys in a Segment, Number of Keys about to Expire, and Total Size of each Segment.

Last Updated 2023-09-05 20:06:31 +0530 +0530