Which technology is utilized by Dynatrace cluster nodes for metrics storage?

Dynatrace uses Cassandra as the technology for metrics storage within its cluster nodes. Cassandra is a highly scalable NoSQL database designed to handle large amounts of data across many servers, ensuring high availability and fault tolerance. This makes it particularly suitable for the kind of extensive metrics data that Dynatrace collects from performance monitoring across varied environments.

Cassandra's distributed nature allows Dynatrace to manage vast quantities of time-series data efficiently, enabling quick read and write operations essential for real-time monitoring and analytics. Moreover, its ability to handle multiple data center deployments aligns well with Dynatrace's architecture, thus supporting seamless transitions and scalability as user needs grow.

Other options such as MySQL, MongoDB, and PostgreSQL might be used in different contexts or applications, but they are not the core technology selected by Dynatrace for this specific purpose. While MySQL and PostgreSQL are relational databases that deal well with structured data, they may not provide the same level of scalability and performance for time-series data as Cassandra does. MongoDB, while a powerful NoSQL option, is not the database chosen by Dynatrace for metrics storage.