The idea of applying artificial intelligence and machine learning to more rapidly and accurately resolve IT incidents and manage alerts has been gaining steam in the past year. While AIOps, as it’s frequently called, has spawned an entirely new market of startups, many enterprise IT leaders are playing a cautious hand so far – and for good reason. There are risks, though. If an AIOps tool goes wrong out of the gates, IT and executive trust diminishes.
The paradigm shift happened fast. Nimble companies leveraged cloud to break down silos between operations and development and embraced agile development for faster cycle times to create strategic advantage. They merged teams of engineers across the application lifecycle from development and test to deployment and operations and created new roles requiring a range of skills not limited to a single function.
Major changes are redefining how IT operations monitoring is done, and impacting tooling, processes and skills. But how exactly can IT Ops leaders ensure continuous service assurance of their critical digital services now and in the future? What’s the key to having the required visibility and control over these modern and complex IT environments that are increasingly hybrid, distributed, dynamic and modular?
Application Performance Monitoring has been my career for 20 years. When our biggest customers have mission-critical production problems, I've been in the war rooms and on the midnight bridge calls, ensuring that teams are able to determine the root cause to fix the problem. I always questioned: why did I have to be on that call? Or get on a redeye to be at the client's doorstep the next morning? The answer is simple, application architectures are complex and only getting more complex overtime.
March 16, 2020 AI Ops is about enabling developers, program managers, service engineers, website reliability engineers etc. to efficiently build as well as run online services or applications at scale with AI & ML techniques. AI Ops is expected to help improve service quality. customer satisfaction, enhance technology productivity, and reduce cost.
What is AIOps? Are you confused by all the different explanations out there? Regardless of the mixed messages, there is a correct definition and approach for AIOps.
AIOps is the trendy cool new kid on the block in the IT operations world. No doubt about it. However, with all the buzz surrounding AIOps, it’s easy to skip over some of the basics. How many IT operations professionals can clearly define what AIOps is? Beyond the baseline definition, why should you care? What about plugging it into your existing automation and analytics ecosystem?