Throughout the past few years, large companies have gravitated toward using AIOps tools to monitor and manage complex infrastructure and applications. Among the core tasks of Information, Technology operators are vast data collection, pattern identification, and resolving performance-related issues. But the increasing use of hybrid and multi-cloud is increasing the complexity. How to face the complexity? AIOps is here to bring digital transformation to the organization and handle all the complex tasks.
What is AIOps? Why Do Businesses Need It?
AIOps is the use of Artificial Intelligence and Machine Learning in IT operations. IT environments can be different types, including hybrid, distributed, dynamic, etc. AIOps can monitor and handle all types of modern IT environments. The top benefits of suing AIOPs are:
1. Eliminate unnecessary alerts.
2. Enhancing experiences of the end-users.
3. Error-free data analysis.
4. Increase efficiency and decrease complexity.
More importantly, AIOps is leading digital transformation in corporations. How? Let’s take a look.
Steps towards Digital Transformation with AIOps
Here are four steps to successful AIOps for increasing the value of IT operations:
1. Focus on Initial Use Cases
Understanding the outcome of digital transformation and the present situation is the first step. Businesses need to focus on initial use cases. These cases include application performance monitoring, behavioral learning, predictive event management, and event-driven automation. IT operators need to ensure to process data, identify problems, solve them and increase user experience. Some of the alerts are not important. So they need to identify the actual problem. They need to solve it before it goes into customers’ hands.
2. Successful Implementation of AIOps
A successful AIOps requires cultural changes, modern strategies, and processes. Employees need to understand the importance of AIOps and digital transformation and accept the changes. The changes include restructuring, automation, changing management processes, and adopting communities of practices.
3. Improve Core Capabilities for Digital Transformation Solutions
AIOps develops core capabilities, including ML, open data source, flexibility, volatility, speed, and many more. AI works with ML instead of using human agents. ML learns from pattern changing. All processes, even human behavior, have a pattern. ML can read these patterns and provide valuable insights to use in the IT system. AIOps gives access to the open data source. Analyzing a variety of data from multiple sources makes machine learning more efficient to provide error-free results.
4. Continuously Monitor the Value Delivered to the Business
To ensure steps towards the digital transformation are providing value as expected, operators need to monitor the delivered value continuously. They need to monitor Mean Time to Repair and Key Performance Indicators with the previous results. Positive feedback means the success of AIOps in digital transformation.
Modern businesses require Digital Transformation to survive in a complex IT environment. Businesses can take advantage of the AIOps offering to take their software and services to a whole new level. That is why IT organizations are becoming significantly interested in AIOps.