Stretched thin and relying on legacy IT Ops tools, IT Ops, NOC and DevOps teams are unable to effectively support today’s highly complex, dynamic IT stack. With new technologies and services emerging on a monthly basis, it has become virtually impossible for them to be ahead of the curve. They’re constantly struggling to keep up and fighting fires instead of looking forward and focusing on innovation.
How can IT Ops find the root cause of problems quickly and easily, when the infrastructure is a mix of containers, serverless environments, orchestration tools and microservice architectures operating in parallel with legacy tools and infrastructure? More often than not – they can’t, and they’re left with a rising tide of outages, poor performance and service disruptions.
But all is not lost… AI and ML driven IT automation is here, and getting better by the day.
By correlating and enriching the information collected by the IT stack’s monitoring tools, AI and ML can help teams embrace automation and shorten the time it takes to solve problems. And over time, as users and enterprises experience the benefits of automation, IT Operations will be able to move from automating single tasks and use cases – to an overall autonomous mode of operation.
In a new whitepaper, noted industry analyst Nancy Gohring of 451 Research delivers an in-depth look into the future of AI & ML-enabled IT Ops and helps you understand:
- How AI and ML help drive automation in IT Ops,
- Why IT operations will move from automation to autonomous over time, and
- Key considerations for IT leaders as they embrace automation and autonomous operations.
Download it here. You don’t want to miss what Nancy has to say.