Redis is a popular and opensource in-memory database that supports multiple data structures like strings, hashes, lists, and sets. But similar to other tools, we can scale standalone redis to a particular extent and not beyond that. That’s why we have a cluster mode setup in which we can scale Redis nodes horizontally and then distribute data among those nodes.
Since Kubernetes is becoming buzz technology and people are using it to manage their applications, databases, and middlewares at a single place. So in this blog, we will see how we can deploy the Redis cluster in production mode in the Kubernetes cluster and test failover.
Recently I started working on a microservices project, as a DevOps engineer my responsibility was to ensure smooth build and release of the project. One of the challenges that I was facing was the image building process of the projects was painfully slow. Following true Opstree spirit of continuous improvement I started exploring how I can fix this problem and finally got a decent success, I was able to reduce docker image build time from 4 minutes to 20 seconds. In this blog, I would like to showcase various ways through which image building can be reduced drastically.
In this lock-down, everyone has to maintain a social distance and in this trying time, we can learn from docker to isolate ourselves. So before that, we need to learn how docker does it? The best approach to learn is to simulate it. For that, we’ll be creating our own container tool for the application to isolate itself.