database

The CAP theorem, also known as Brewer’s theorem, is a concept in distributed computing that states that it is impossible for a distributed system to simultaneously provide all three of the following guarantees: Consistency: All nodes in the system see the same data at the same time. Availability: Every request made to the system receives a response, without guarantee that it contains the most recent version of the data. Partition tolerance: The system continues to function despite arbitrary message loss or failure of part of the system....

Introduction Apache Cassandra is a highly scalable and distributed NoSQL database that is designed to handle large volumes of data across multiple commodity servers. One of the key features of Cassandra is its ability to automatically manage data distribution, replication, and consistency across a cluster of nodes, providing high availability and fault tolerance. One important aspect of managing data in Cassandra is compaction. Compaction is the process of merging and removing unnecessary data from SSTables, which are the on-disk storage structures used by Cassandra....

Hi 👋👋 In this article I will explore the topic of sharding a Mongo Database that runs on Kubernetes. Before we get started, if you want to follow along, please install the tools listed in the prerequisites section, and if you want to learn more about sharding, check out this fantastic article Sharding Pattern. Prerequisites Kubernetes Cluster & kubectl mongosh helm Introduction Let’s install a MongoDB instance on the Kubernetes cluster using helm....