
Prediction of Device Failure Using AIOps

In this digital age, business organizations depend on software systems to provide services to customers. The number of software systems used by business organizations has increased over the decades. Also, the complexity of software systems has increased over the decades. If business organizations do not look after the performance of their software systems, there is a chance of low service availability.
Critical business operations depend on the software systems connected with the IT infrastructure. If any one of the critical software systems stops working, it will degrade the service reliability and availability. Read on to know how AIOps can help in predicting device failure and ensuring high service availability.
Due to the increasing complexity of business apps and software systems, it is hard to predict device failures with legacy tools. Performance monitoring tools developed in the past are no longer applicable for new-age software systems. It is why business organizations are moving towards new-age technologies for device performance monitoring. Application performance monitoring with AIOps is the new trend in the industry. Some of the challenges faced by business organizations for application performance monitoring with legacy tools are as follows:
AI-based tools use predictive analytics models to forecast device failures and performance hassles. The best AIOps tools and products can collect data from several sources and bring them to one place. AIOps is a centralized monitoring solution for your business. It studies the relationships between data sets to identify anomalies. Whenever an anomaly occurs, it informs the system administrator by generating an alert. AIOps makes sure that crucial software systems in your IT setup never stop working. Based on the performance metrics, AIOps can predict device failures. A business organization can take proactive steps to ensure device failures never occur.
AIOps collects data from digital channels and software systems. It then brings the data together in one place for analysis and reporting. AIOps can know about the internal state of business apps and software systems by studying the external factors. With high observability, you can know about performance degradation beforehand. You will have ample time to work on the performance issues and avoid device failures. A business organization can scale its software systems and digital channels according to the demands of the customer. Your crucial business apps and software systems will be up and running all the time. When the uptime of your software system increases, service availability also increases.
When a performance issue occurs, an alarm is raised by the monitoring system. IT teams associate a ticket with each IT incident to identify it uniquely. Sometimes, several tickets are raised for the same performance issue. For example, consider a scenario where the feedback option of your business app/website is not working. Multiple users have reported the same issue and, unique tickets have been generated every time. IT teams will waste their time in identifying redundant tickets thus, hampering the service reliability. It is where AIOps steps in and removes redundant tickets for the same performance issue. How AIOps enhances incident management is as follows:
During the recent COVID pandemic, many business organizations invested in AIOps for better remote IT infrastructures. The global revenue of the AIOps industry will be more than USD 500 billion by 2030. You can also enhance the uptime of your software systems via AIOps. Fix performance issues and improve service availability with AIOps!
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