What is the primary method for scaling Dynatrace Managed clusters?

The primary method for scaling Dynatrace Managed clusters is to add nodes or increase node resources. This approach allows for improved performance and capacity by distributing the load across multiple nodes within the cluster. By adding additional nodes, you enhance the processing power and storage capabilities of the cluster, which is essential in a managed environment where applications and services are monitored at scale.

Increasing node resources, such as CPU, memory, or storage, also provides a way to ensure that existing nodes can handle increased workloads more efficiently. This flexibility is crucial for adapting to fluctuating demands without compromising the monitoring capabilities or response times of the system.

Adding additional users to the cluster does not contribute to scaling the system's performance; rather, it relates to user management and access within the existing framework. Similarly, increasing server costs does not inherently provide a solution for scaling; it's merely a financial aspect without addressing the structural needs. Changing the data storage solution could impact storage performance but does not directly provide a method for scaling the entire cluster's processing and monitoring capabilities.