MongoDB is a popular NoSQL database that supports large as well as small size of datasets. Just like any other database standalone setup, MongoDB is straightforward but we have to make a replicated or shared cluster of MongoDB, and there we have certain complications. Especially if we are doing these kinds of setups in orchestration tools like Kubernetes.
There is a lot of complexity in setting up MongoDB on Kubernetes that people(including me) have faced for a long time which I would like to highlight:-
Continue reading “MongoDB Setup on Kubernetes using MongoDB Operator”
- Standalone setup is pretty straightforward but for replicated and sharded clusters additional mongo configurations are required.
- In the replicated scenario, separate configurations need to be managed for the leader and follower.
- Monitoring and access management of MongoDB inside Kubernetes is a little tricky part to handle.
Logging is a critical part of monitoring and there are a lot of tools for logs monitoring like Splunk, Sumologic, and Elasticsearch, etc. Since Kubernetes is becoming so much popular now, and running multiple applications and services on a Kubernetes cluster requires a centralized, cluster-level stack to analyze the logs created by pods.
One of the well-liked centralized logging solutions is the combination of multiple opensource tools i.e. Elasticsearch, Fluentd, and Kibana. In this blog, we will talk about setting up the logging stack on the Kubernetes cluster with our newly developed operator named “Logging Operator”.
Continue reading “Opstree’s Logging (EFK) Operator”
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.
Continue reading “Redis Setup on Kubernetes”