Do you know what AIOps is and how this technology is capable of revolutionizing your business? The constant increase in the data volume and the complexity of the environments demand from the IT team tools that make the anomaly identification processes more efficient and predictive.

Therefore, it’s necessary to analyze a set of factors in order to anticipate situations that will happen and may lead to productive stops in your IT, which will consequently affect business operations. It’s precisely for this type of situation that AIOps – Artificial Intelligence applied in the analysis and prediction of IT operations arose.

Nowadays, it’s an excellent alternative to maintain environments with high availability and continuity. If you want to understand more about the topic, follow the post, that we will present the main information about AIOps and its importance for a company. Check out all the details!

How did AIOps come about?

AIOps (Artificial Intelligence for IT Operations) is a term that emerged in 2015 and was created by Gartner with the aim of naming the application of artificial intelligence resources in the IT operation. It was developed due to a growing market trend, in which traditional tools and processes were no longer adequate to deal with the challenges of digital business.

What is AIOps?

It is, in reality, a new way of IT management, which combines techniques of Data Science and Artificial Intelligence (such as Machine Learning). The objective is to automate IT tasks, based on the data generated by the operation itself.

This tool provides intelligent insights that promote automation and collaboration to deliver continuous improvement. It also allows a departure from isolated operations management.

How does AIOps work?

The AIOps operation can occur in isolation, in cases where the company purchases only the technology and, later, integrates it with different data sources and tools.

Another possibility is to find it already integrated with analytical interfaces and alarm systems, data intake and storage resources, etc. In this case, they are more complete AIOps platforms.

In general, this type of solution is able to ingest, store and analyze data from the digital environment with specialized Machine Learning algorithms and turn them into useful actions or insights for the IT operation. They also allow the processing of historical records (such as logs), generated in real time (such as wire data) or both.

What are its main applications?

Now that you know what AIOps is and how it works, here’s what its main applications are!

Dysfunction detection

One of its main applications is the ability to detect dysfunctions, identifying problems and deviations from standards, in addition to understanding trends in infrastructure and applications. In order to detect a dysfunction, it’s necessary to define a pattern.

In this case, as the metrics can change dramatically over the course of a single day, the AIOPS tool is able to set dynamic, rather than fixed, patterns. Thus, it is possible to create a metric based on different circumstances.

The tool is able to detect dysfunctions both in the simplest way, involving a single metric at a time, and using multiple metrics together and making the necessary correlations, with the aim of obtaining more accurate results.

Trend identification

Another of the most common applications in AIOps is the prediction and identification of trends – a factor that can help in several challenges of an IT team. This is the case, for example, of forecasting infrastructure in the future to optimize resources (right-sizing), in order to reduce costs and improve a company’s environment resilience.

A relevant aspect is the possibility of identifying the evolution of metrics and possible infrastructure bottlenecks. In this way, it is possible to use AIOps as a partner in the organization’s strategies, to identify planning and reorganization demands, including those of the IT teams themselves.

Events Correlation

Nowadays, it’s increasingly evident that trying to solve problems with tools from the past isn’t usually effective. In particular, because of the increase in the data volume, which makes the sources from which they are generated increasingly diverse.

With this, the complexity of the analyzes is increased, a factor that makes it difficult to correlate events in a certain way. However, AIOps is able to solve this type of situation, due to its ability to quickly and accurately analyze monitoring events, which allows incidents to be responded to more quickly.

What are AIOps main advantages?

Finally, to make it possible to understand, in fact, about the topic, the time has come for you to know what are the main advantages of AIOPs!

Staff reduction

AIOPs must allow personnel costs to be reduced in NOCs and SOCs, as these teams can be reduced. That’s because the machine is able to identify anomalies more quickly than a human, including sequences of attempted invasions by hackers and other events that are invisible to people.

AIOps is also able to perform event correlation more precisely, being able to tell when an invasion attempt is occurring and how many minutes / hours it should take, if no action is taken.

Business security

Another relevant point is that many of the AIOps solutions are focused on information security, especially since including ML in the analysis and security correlation events is proven to be very efficient.

In this way, it becomes possible to respond quickly to security incidents and avoid problems such as information leakage – factors that make the business much more controlled.

Performance optimization

By using the right tools for AIOps, it’s possible to accomplish more with less work, improving the entire performance of applications and structures. This is the case, for example, of application monitoring, which, when optimized, decreases the response time and, consequently, improves the user experience.

Now that you know all the details about AIOps, you must have realized that it is a tool that’s able to mitigate risks, increase the availability of environments, and promote greater business continuity. Consequently, it increases efficiency in the management of a company’s IT infrastructure.

If you want to know more about AIOps, get to know Simon, AIOps component of the 4Biz platform. Contact us and request a demo!

Reference:
https://www.gartner.com/smarterwithgartner/how-to-get-started-with-aiops/