Using metrics data to trigger systems can allow reactions to events at all layers of a cloud deployment. What is the process called?

The process of using metrics data to trigger systems and enable reactions to events throughout all layers of a cloud deployment is known as orchestration. Orchestration involves coordinating various services and resources in a cloud environment to automate workflows and processes based on conditions and metrics.

In a dynamic cloud environment, orchestration allows for the seamless interaction of multiple automated tasks that are informed by real-time data, including scaling applications, managing workloads, and configuring networks. This capability is essential for optimizing resources and maintaining efficiency, as it allows the cloud infrastructure to respond to different operational demands without manual intervention.

While automation relates to using technologies to perform tasks automatically, orchestration takes it a step further by managing these automated tasks and ensuring they work together cohesively. Integration typically refers to combining different systems or functionalities to work as a unified entity, while configuration pertains to setting up systems and applications for specific use cases. Orchestration integrates and automates those configurations, making it a critical component of effective cloud management.