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AIOps is that platform that has garnered attention from all across the globe as a result of leveraging the big data. It collects data from everywhere possible to automatically spot and react to issues in real-time. However, this does not imply that the history isn't being addressed to. AIOps provides traditional historical analytics as well.
Over the years we have seen a shift from traditional methods to advanced ways of handling things. Cloud, data centre-bound systems, virtualization, etc. made into the field of technology. But, what continues to grab attention is that today, we are at a stage wherein there's a limited number of networking staff to deal with the desired parameters. This is exactly where Artificial intelligence for IT operations (AIOps) comes into play. With every passing day, more and more firms are showing inclination towards AIOps.
AIOps is a platform that Gartner has brought into existence. Gartner calls AIOps a platform that combines big data and machine learning. On doing so, it holds the potential to automate operations like event correlation, anomaly detection and causality determination among others.It is possible for the platform to achieve this because of better communication.
Consider an example of issues being addressed without AIOps in place. Whenever there's an issue that pops up, IT staff will have to employ their tools to examine their own silos. Well, that isn't a problem for the real challenge is here – To link a cause in one silo with an effect in another. Naturally, this calls for an excellent communication within themselves to establish a link. Needless to say, in goes a lot of time to complete the process. Well, AIOps platform to the rescue it is. It breaks down the communication barrier between silos.
This platform brings in as much relevant data as possible from all the different silos. This data is put it into one large data lake. The real task begins now. The AIOps solutions analyse this information to identify a problem when it occurs. The best part is that the platform analyses the data even when the problem is about to occur. It works to find out what is the cause of the problem and how can one go about fixing it.
Today AIOps is at a stage that promises to spot networking problems and also their causes as well way quickly than you can imagine. All this further improves the overall efficiency.
• Since the platform solely relies on data, how good the data is plays a critical role. Many organizations realize that the data is either limited, showcases a poor quality, and may be missing or incomplete, or just inconsistent. All of these issues make it difficult for the AIOps platform.
• As AIOps caters to optimizing IT operations automatically, attention needs to be paid here as well. The challenge here is that having good data alone will not serve the purpose. A high degree of "domain knowledge" is expected. Simply put, knowledge about business patterns and how those impact IT decisions has a lot to do with how AIOps functions. Possessing domain knowledge is hard and hence a challenge which organizations tend to face.
• Yet another challenge which the firms face is that AIOps detects anomalies which the firms themselves aren't ready for at a given point in time. This is because the systems of these organizations are relatively old and AIOps is a new concept altogether. Thus, the solutions may detect the minor problems very quickly.
Firms are turning towards AIOps for quick ways to solve existing problems. One key issues that's addressed is reducing their fault finding times. But what's important as of now is to think of ways how AIOps can be used strategically. How AIOps can help in fundamentally reengineering the operations is to be paid attention to.
With AIOps in place, it is possible to reach higher levels of automation in network management. The solutions would be able to identify the problem areas, match a problem with a solution and finally choose a solution on the basis of successful probabilities. It is even possible to monitor the results and evaluate the outcome. All this paves the way for a better decision.
