Introduction

Apache Cassandra™ is a massively scalable open source NoSQL database. Cassandra is perfect for managing large amounts of structured, semi-structured, and unstructured data across multiple datacenters and the cloud. Cassandra delivers continuous availability, linear scalability, and operational simplicity across many commodity servers with no single point of failure, along with a powerful dynamic data model designed for maximum flexibility and fast response times.

Cassandra’s built-for-scale architecture means that it is capable of handling petabytes of information and thousands of concurrent users/operations per second. Cassandra is designed from the ground up as a distributed database with peer-to-peer communication.

For ensuring high availability, performance, and security, a database server includes a wealth of data storage, caching, and retrieval functions. To ensure peak performance, a database server needs to be continuously monitored and tuned. Sometimes, there may be a sudden change in workload to the database, resulting in an increase in the number of simultaneously processed transactions. This scenario could result in a performance bottleneck at the database server. Continuous monitoring and optimization of the database server is essential for ensuring that the database server operates at its peak.

The eG Enterprise is programmed with a variety of tests that are designed to monitor the critical parameters of the Cassandra Database servers. This document describes how the eG Enterprise monitors the Cassandra Database servers.