Operations | Monitoring | ITSM | DevOps | Cloud

Modern digital businesses adopt AIOps tools to enable continuous insights across an IT stack. These insights tell the full story of what’s happening behind systems, allowing IT teams to achieve the operational efficiencies and high availability that lead to customer satisfaction. Old siloed monitoring disciplines provide data specific to performance of the digital experience, IT infrastructure, application or network.

A lot of things have changed in recent years. From the way of working to executing IT operations, the business strategies have changed overnight with arising advances like Machine Learning, Automation, and Artificial intelligence. The technologies have changed present-day applications and IT operations, and with AI and ML on board, IT industries operate more perplexing undertakings and resolve issues across complex infrastructures.

Gartner introduced the word ‘AIOps’ back in 2017, and ever since, the enterprises have been adapting to the various strategies to streamline their IT operations. AIOps is a successful venture because it meets the challenges and tackles the amount of data created in the tech infrastructures amid complex architectures.

Making IT operations simpler – which AIOps does by helping teams to make smarter, more informed decisions about complex monitoring and APM problems – is great. But what would be even greater is eliminating the need for IT teams to make decisions at all – a prospect known as NoOps. By automating application management to the point that human involvement is no longer necessary, NoOps offers tantalizing possibilities for the IT operations teams of the future.

To date, AIOps has been a solution first and foremost for IT operations teams. In other words, AIOps has been used primarily to help IT teams manage what happens in the post-deployment part of a CI/CD pipeline, when they need to detect and remediate issues in production environments. That doesn’t mean, however, that AIOps leaves developers out of the picture. Although the conversation surrounding AIOps hasn’t paid a lot of heed to developers so far, it’s perhaps time to change that.