From the course: Cloud Observability and Operations: Considerations for Security, Governance, Monitoring, and Cost Control

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Leveraging automation for CloudOps and observability

Leveraging automation for CloudOps and observability

From the course: Cloud Observability and Operations: Considerations for Security, Governance, Monitoring, and Cost Control

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Leveraging automation for CloudOps and observability

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- [Instructor] Automation is key to leveraging observability for CloudOps. Automation is defined as an approach that creates an apparatus, process, or system that operates automatically, typically without human intervention. You can think of a thermostat on your wall as an example of this. When the temperature becomes too hot or cold, the thermostat activates the heating or cooling system using automation. While this is a simple example, the idea is to automate as much as possible as long as it can be done reliably. Automation is supported within observability tools and technology that we leverage, such as AIOps tools. In that case, AI is able to adapt and learn as the tool monitors cloud resources, and learns through trial and error, how to operate them most effectively. But other tools support automation as well. Automation is important to CloudOps and observability for a few reasons. First, it reduces the number of humans or any humans for that matter that are required to get…

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