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What exactly is AIOps?


As everything becomes digitally connected, more alerts and information are flowing through the IT department than ever before. The problem is that many IT departments don’t have the resources or tools to stay on top of all these alerts and notifications. And the global Great Resignation is magnifying the shortage of IT talent. As a result, critical information may be missed that could help them resolve issues faster or prevent future problems from occurring.


Artificial Intelligence for Operations (AIOps) is the answer, specifically AIOps built for IT. That sounds like an oxymoron, I hear you say. But it's a framework that really makes sense when the combination helps you stay ahead of the game. You don’t want your valuable IT talent to be swamped with routine tasks!


From latency to efficiency, AIOps provides IT with a clear view of the entire infrastructure, helping to maintain high performance and ensuring uptime. AIOps creates a 360-degree view of the IT environment to better understand how it’s performing. This ensures that problems can be identified before they happen - and costly downtime can be avoided. IT pros can also gain a better understanding of user behaviour and identify where resources are being used inefficiently.


Drivers of AIOps


The drivers of AIOps are many and varied. Some are internal, such as the need for better business insights. Others are external, like compliance regulations and security concerns. And still others have to do with the proliferation of data coming from all corners of the business world, and how IT has a role in keeping up with a growing number of applications and data sources – and making sense of it all.

As demand for new services like mobile or cloud computing grows, so does the attention required from IT teams. Finally, organisations are shifting their focus from cost reduction to innovation and revenue generation.


Limitations

There are some limitations. First, AIOps requires analysis of data which is not always easy to obtain from legacy systems and cloud platforms. It also requires time, effort and a structured roadmap.


AIOps can’t make every type of software monitoring or management task happen in real time. There are situations where humans need to become involved in the process, and those situations probably entail delays.


Remediating relatively simple and straightforward problems that arise in the context of monitoring and management is a breeze with AIOps and it excels at workflows that can be scripted ahead of time. When you get into more complex issues, however, real-time remediation isn’t always possible. A complex cyber attack, or physical hardware failure, for instance, would probably require intervention.


If you’re keen to get to grips with the pros and cons of AIOps and understand the metrics that matter, use cases that give top results and how to make the best of the IT talent in your organisation, watch this webinar presented by ScienceLogic.

Then give us a call at AppCentrix and let’s talk about how we can partner with you to ensure that AIOps provides your business with a competitive edge.

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