Leverage AIOps to operate more effectively in the cloud has been saved
Leverage AIOps to operate more effectively in the cloud
Cloud migration & operation
There are a bevy of new technologies in the market to help with IT ops in the cloud–AIOps for example. However, to get the most out of AIOps (or any tech), match the tool to the needs and define the needs–and success metrics–based on your service-level objectives.
Expand your possible: Leverage AIOps to operate more effectively in the cloud
Cloud has changed the landscape for IT operations. Operating models that functioned well in the age of monolithic applications often break down when organizations try to apply them to distributed cloud environments. Fortunately, raft of new operating model theories and technologies has come to the rescue. In this episode of the podcast, Mike Kavis and guest, Splunk’s Josh Atwell, discuss some of the new ways of developing and operating IT in the cloud—especially AIOps—and shed light on how organizations can choose the technology that works best for them. One key is matching tools to needs. Another is defining success metrics based on service-level objectives that, themselves, have been defined vis-à-vis cloud-based operations.
Disclaimer: As referenced in this podcast, “Amazon” refers to AWS (Amazon Web Services) and “Google” refers to GCP (Google Cloud Platform).
The easiest way to outline [AIOps] is putting more trust in machines to do what machines are good at and allowing—and augmenting—the capacity of humans to do what they're uniquely capable of doing when it comes to maintaining and operating the environment.Josh Atwell is Splunk’s senior technology advocate focused on next-generation IT operations and DevOps. He has more than 20 years of experience in IT working with a wide range of technologies.