As your business continues to grow, IT infrastructure will experience a massive change in scale. If your company is on a growth trajectory, it’s time to start thinking about how intelligent automation with AIOps can play a crucial role in your IT operations. If you are new to AIOps, this article is a perfect place to start. Know what AIOps is, why you should use it, and how it will help your business.
Coined by Gartner, AIOps or Algorithmic IT Operations platform is a solution that uses smart algorithms (powered by AI and ML), where machines solve known IT issues and intelligently automate repetitive and mundane jobs. It refers to a multi-layered technology platform that automates and enhances IT operations.
AIOps uses analytics and machine learning in order to analyze Big Data from various IT operation tools and devices. As a result, it is able to automatically spot and more importantly react to issues in real time.
Think of AIOps as a continuous integration and continuous deployment for core IT functions. It is important to understand that AIOps has two main components: Big Data and Machine Learning.
AIOps requires a move away from siloed IT data. It uses a comprehensive analytics and machine learning strategy against the combined data. The resulting outcomes are intelligent insights that use automation to provide continuous improvements and fixes. It’s as simple as that!
AIOps is not just an option anymore but a necessity for businesses with dynamic and complex IT environments. With the rise of cloud, distributed architectures, containers, and microservices, a rise in data overload is visible. With growing amounts of DevOps processes; alerts, repeated mundane jobs etc. are bound to induce fatigue into your work. It’s only a matter of time when you’ll need AIOps. Here are some reasons why:
Through digital transformation, you can add more business value by saving tons of time and effort, and spend more time in innovation. AIOps adoption can help your organization to get end-to-end visibility into infrastructure and applications. Get better MTTD and MTTR as a bonus.
As a DevOps engineer, for every CI/CD you build today, you will eventually need to deploy an automated trigger as a part of your CI/CD pipeline. With smart automation of codes, you can monitor the deployment for health metrics and invoke issue detection rollbacks quickly.
Almost half of the organizations dealing with IT monitoring issues, spend on an average 1 hour repairing performance issues per incident. With AIOps, you can deploy automated actions (response mechanisms) for known events with embedded business logic. AIOps makes life easier for you.
