Leverage AIOps to operate more effectively in the cloud has been saved
Leverage AIOps to operate more effectively in the cloud
Part of the Architecting the Cloud podcast series
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.
Cloud machine learning presents an emerging opportunity for organizations to advance their AI strategies, using cloud ML to accelerate innovation, drive efficiencies, and meet customer demands at an unprecedented pay and scale. With a three-pronged promise of efficiencies in time, technology, and talent, organizations are already reaping the benefits.
Despite the strong imperative to digitally transform, many companies still struggle with it. One strategy is to adopt a cloud-native mindset that leverages AIOps and shifts DevOps bottlenecks left.
Put Cloud in context with the future of business and technology
Because cloud is never just about cloud, a podcast about cloud isn’t either. Our two hosts deliver two unique perspectives to help bring you closer to achieving what matters most—your possible.
For Cloud Professionals, hosted by David Linthicum, provides an enterprise-level, strategic look at key issues impacting clients’ businesses. David, ranked as the #1 cloud influencer in a recent Apollo Research report, has published 13 books on computing, written over 5,000 published articles and performed over 500 conference presentations, making his specialization in the power of cloud simply undeniable.
As a pioneer in cloud computing, Mike Kavis leads Architecting the Cloud, which offers insights from the POV of those who’ve had hands-on experience with cloud technology. Mike’s personal cloud journey includes leading the team that built the world's first high-speed transaction network in Amazon's public cloud—a project that ultimately won the 2010 AWS Global Startup Challenge.
With two leaders in your ear, you’ll have the content you need to drive the next conversation around cloud. Check out both talk tracks within the Deloitte On Cloud podcast to get the compelling stories on your schedule to help you understand the topics that are reshaping today’s market.
Contact us at email@example.com for information on this or any other On Cloud podcasts.
Or visit the On Cloud library for the full collection of episodes.