How to Deploy Redis on Kubernetes: with Real Job Scenario.

What is Redis?

Redis is an in-memory data store often used in Kubernetes environments as a database and caching solution. By caching data in Redis, you can reduce the load on your backend databases, improving application response times. Redis also supports pub/sub messaging, data persistence, horizontal scalability (via Redis Cluster), stateful application support, and more.

In summary, Redis plays a vital role in Kubernetes environments by providing high-performance data storage and caching for scalable, reliable, and responsive applications in containerized and orchestrated setups.

Are you ready to supercharge your application’s performance with in-memory caching? Let’s dive into deploying Redis on Kubernetes, the powerhouse combination for turbocharging your data!

Prerequisites:

1. Access to a Kubernetes cluster.
2. `kubectl` utility configured to work with your cluster.

Objectives:

• Deploy Redis on Kubernetes.
• Utilize Kubernetes features for scaling and reliability.
• Store data in Redis with confidence.

Job Scenario:

The Nautilus application development team observed some performance issues with one of the application that is deployed in Kubernetes cluster. After looking into number of factors, the team has suggested to use some…