A Detailed Guide to Key Metrics of MongoDB Monitoring

In the current era, organizations demand high-quality working data, and management systems that can scale, deploy quickly, robustly, are highly available, and highly secure for any unfortunate incidents. Traditionally, applications used relational databases as the primary data stores but in today’s need for data-driven applications, developers lean towards alternative databases like NoSQL(Not Only Structured Query Language).

NoSQL databases enable speed, flexibility, and scalability in this era of growing development in the cloud. Moreover, NoSQL databases also support JSON-like documents which are commonly used formats to share data in modern web applications.

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MongoDB Setup on Kubernetes using MongoDB Operator

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:-

  • 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.
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