What is AIOps and Why Should You Care?
Joey Compeer· 6 min read
Today’s applications and infrastructure are constantly evolving and continue to span multiple environments. As the complexity of these dynamic environments increases, getting full-stack visibility becomes more challenging. The complexity is increased by innovations such as Cloud and Microservices. However, it is still possible to get this full-stack visibility by applying Artificial Intelligence for IT Operations (AIOps). In this blog, I will give you an introduction into what AIOps is and why you should care about this new movement.
What is AIOps?
Artificial Intelligence for IT operation platforms represent the evolving and expanded use of technologies previously categorised as IT operations analytics (ITOA). It is so innovative that it does not even have its own Wikipedia page. According to Gartner, by 2022, 40% of large enterprises will use artificial intelligence for IT operations tools to support or replace monitoring and service desk tasks, up from 5% today.
Gartner defines AIOps as follows:
"AIOps platforms combine big data and machine learning functionality to support all primary IT operations functions through the scalable ingestion and analysis of the ever-increasing volume, variety and velocity of data generated by IT. The platform enables the concurrent use of multiple data sources, data collection methods, and analytical and presentation technologies."
Why Should You Care?
So, the real question is: why should you care about AIOps? You should care, if you’re facing one of the following challenges:
How do I monitor the health of my dynamic IT landscape with zero blind spots?
How can I get visibility across private clouds, public clouds and on-premise environments?
How can I provide more efficient and stable infrastructure?
According to a survey by Enterprise Management Associates (EMA), most enterprises are struggling to find the right tools to manage their environments. In an attempt to gain full stack visibility, enterprises often invest into the use multiple monitoring tools. Over 65% of these enterprises have more than 10 monitoring tools. Despite these investments, it is still left to the end user to generate the insights to find the root-cause of incidents. This is often done in the so called war rooms, where teams, processes and tools come together to manually unite the siloed data fragments. AIOps enables this approach to become a thing of the past.
With AIOps platforms, enterprises will be able to centralise all their data in one place and make sense of it instantaneously. You will gain full stack visibility and be able to understand how the business, applications and all underlying infrastructure are related to each other. This real-time visibility will make IT Operations teams more efficient, solve problems faster and become proactive.
How is StackState Delivering AIOps?
StackState accelerates your IT operations by breaking down silos across teams and tools. From on-prem to Cloud. From legacy to Microservices. Proactive or reactive. We have got you covered. StackState is able to automatically discover, map and monitor your entire IT landscape across teams and tools. Use StackState to find the root cause of your problem within seconds and proactively prevent issues from impacting your business. Say goodbye to ‘finger pointing’, break down silos and collaborate with only the right people to solve an issue quick and easy. Our AIOps technology is built for today and ready for tomorrow. It gives you the confidence to reduce operational costs, drive speed of delivery and boost your current IT management investments. Interested to learn more about StackState? Visit our website or download our Guide to AIOps.
Download our Guide to AIOps
In this guide, you'll learn:
The essentials and benefits of AIOps
The different data sources and tools that can be analysed
Modern AIOps features & requirements you should look for
How to help IT Operations & DevOps deliver efficient and high quality services - with zero blind spots.
Joey Compeer· 6 min read