With AIOps for automated IT operations


Enterprise success through better cloud and security experience With AIOps for automated IT operation

Under the catchphrase AIOps, which means Artificial Intelligence for IT Operations, artificial intelligence also becomes relevant for IT operations. What this means for companies and which techniques are used, we clarify here.

Companies on the topic

Artificial intelligence should also help IT operations to identify problems faster and establish automatisms.Artificial intelligence should also help IT operations to identify problems faster and establish automatisms.

(© sdecoret – adobe.stock.com)

Whether in the cloud, on-premises or in a hybrid environment: more and more companies are implementing systems with artificial intelligence (AI). In the future, however, AI will not only take over the day-to-day management of IT systems. The next milestone is the IT industry, which will also benefit from the use of artificial intelligence.

New approaches bring innovations in different industries and areas – from manufacturing and medicine to insurance, banking and finance. This enables companies to reduce their operating and IT costs. In addition, AIOps ensures a better client-to-cloud experience than ever before – for employees as well as customers.

AI can support the IT teams by automating a number of processes. In this way, control systems equipped with AI detect problems that arise and solve them independently before they interfere with operation or the user notices anything at all. Automated AIOps and cloud SaaS are thus turning the model of customer support on its head: artificial intelligence, for example, identifies users with connectivity or experience problems and fixes them (the self-driving network) or opens a ticket for the IT department with proposed solutions.

AI has changed a number of industries in the long term. This includes manufacturing as well as e-commerce. Based on continuous analysis, AI is able to develop a model or behavior profile of how a system should function – the more data that is collected and processed, the more accurate it becomes. If the profile deviates, the artificial intelligence issues a warning.

This model is increasingly applied to IT, with AI systems constantly and automatically analyzing events as they occur. In this way, they build up an understanding of normal behaviors and are able to identify and address deviant values much faster and easier. When an incident occurs that requires attention, the system issues a warning or automatically takes corrective action. This ensures continuity of service and a better user experience.

Techniques that use AI systems to make IT leaner

Full-Stack Observability: Events that could affect IT operations occur at all levels of a network or infrastructure. This includes physical Connections beyond the operating system, as well as the user interface or applications. AI systems collect data across the entire stack and insert the data into the operating model.

Activity analysis in real-time: AI systems continuously analyze the effects of all events. You then evaluate them based on the context of the operation. Since the applications proactively analyze the data, they automatically warn when certain events pose a threat to operation. The data also always indicates how severe the alarm is and whether immediate action is required – or whether the problem can be maintained or ignored. This also solves the problem of false alarms triggered by non-intelligent systems.

Intelligent Automation: While IT staff need to be informed about potential problems, AI systems can be programmed to automatically make corrections in many cases. For example, the AI system finds that a software update has changed a configuration file. This could affect the operation. The application is then able to automatically restore the previous version to ensure operational continuity.

Machine Learning is the heart of intelligent operation: AI systems equipped with machine learning scour all collected data. You continuously refine your model to ensure proper operation. Over time, the systems will be able to provide proactive recommendations for better resource use. This makes operations more efficient and saves the company time and money.

How do companies benefit from AIOps?

IT system resources are increasingly distributed across wide geographical areas. At the same time, the infrastructure consists of a mix of local, cloud and multi – cloud resources. Based on these facts, it becomes clear that AIOps is the only viable method for IT management today.

According to a recent independent survey by Vanson Bourne of 1,000 CIOs and CISOs in nine countries, 87 percent of respondents in the EMEA region said AI-driven companies are more agile and flexible. They also have insight into their digital processes and thus a strong business advantage.

Not only can AIOps improve operations: the use of AI supports higher operational efficiency, but user satisfaction is also improved. According to the same study, respondents in the EMEA region reported that nearly 56 percent of their employees worked in the home office during the pandemic. They expect that almost 38 percent of the workforce will continue to work regularly from home, either partially or all the time, even after the pandemic.

Artificial intelligence not only helps companies to orient themselves better towards business goals and deliver results. It can also support external processes. If the systems run continuously and smoothly via remote access, customers and partners are satisfied, business is running and the company continues to exist successfully in the market.

What does AIOps mean for IT teams?

The integration of AI agents to better manage and administer the IT infrastructure changes the way teams work sustainably. Tasks and responsibilities are assigned for the first time. New skills are also required.

Education and training will be a key factor for the successful introduction of AI: The evaluation and implementation of AI solutions also require investment in the IT team. To ensure their success, smart organizations invest in the training of their IT managers. The result: They understand much better how AI solutions can be effectively evaluated and implemented throughout the company.

AIOps for IT management is still in its “infancy”, but more and more companies are using it. The year 2021 is expected to be the turning point for this technology. The reason for this is that the ongoing pandemic continues to present companies with challenges that can be solved in this way. The advantages of AIOps can therefore no longer be ignored.

David Simon

David Simon (Image: Juniper Networks)

As in many other divisions, teams increasingly rely on AI systems to enable automated, end-to-end management and solve complex user problems. This reduces the burden and workload of the IT teams and also ensures better, more accurate and more proactive IT management-thus ensuring competitiveness and economic success.

* David Simon is a Consulting Engineer at Juniper Networks.


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