Not Yet Sold on AIOps? Consider These Top 8 AlOps Use Cases
Artificial Intelligence for IT Operations (AIOps) is a term that research firm Gartner coined. It refers to machine learning technology that facilitates IT operations analytics.
According to The Insight Partners, the AIOps platform market size is expected to expand from $2.83 billion in 2021 to a whopping $19.93 billion by 2028. The research firm adds that the market is poised to grow at a compound annual growth rate of 32.2% from 2021 to 2028.
AIOps platforms combine human intelligence with automated algorithms, explains The Insight Partners. This offers users thorough visibility into IT system performance. The adoption of AIOps platforms is primarily driven by the need for companies to achieve agility and speed in the IT environment. And modern artificial intelligence and machine learning algorithms assemble critical and large volumes of data collected in the background and offer actionable insights.
Another noteworthy reason for the increasing adoption of AIOps solutions is the COVID-19 pandemic that resulted in work-from-home orders that required companies to rely more on tech.
But what does this mean for your company’s IT and DevOps teams? Keep reading to learn more about AIOps technology and eight AIOps use cases focusing on crucial benefits you can look forward to in your digital transformation journey.
Table of Content
What Is AIOps?
AIOps involves applying machine learning and analytics to big data to enhance and automate IT operations. AI can automatically assess huge amounts of machine and network data in real-time for anomaly detection and to locate patterns that can, one, perform the root cause analysis of existing issues and, two, predict and block issues in the future. So, AI is a technology your company’s IT department will want to leverage for minimizing incident response time.
Again, Gartner first coined the term AIOps. The research firm described AIOps platforms as software systems that bring together AI or machine learning capabilities with big data to enhance and to a degree replace a wide array of IT operations tasks and processes. This includes performance monitoring, availability monitoring, IT service automation, IT service management, event analysis, and event correlation.
IT operations management (ITOM) has become increasingly challenging in today’s environment where the threat landscape is fierce. And that threat landscape isn’t static–it’s ever-evolving, so IT departments can’t afford to sit still. AIOps is designed to bring the accuracy and speed of AI to IT operations. Using traditional operations management solutions and processes, your IT team will find it a gargantuan task to keep up with the massive volumes of data streaming in from a variety of sources within network environments. AIOps can help in various essential ways:
I. Streamlines Data Analysis
When you get the right AIOps platform for your company, you’ll instantly have a better way to collect the increasing flow of big data from various sources. Because of the power of AI, the platform will then automatically analyze the repository of data to predict and safeguard against future problems and figure out the cause of present problems.
II. Assemble Data from Various Sources
Yesteryear’s processes, solutions, and technologies weren’t designed to deal with the volume and type of data that is part and parcel of today’s digital era. Big data is a concept your company’s current monitoring tools might not be able to handle. Using yesterday’s approaches to deal with today’s big data reality consolidates the data and compromises data fidelity. Enter AIOps. An AIOps captures massive data sets of all types while ensuring data fidelity for thorough analysis.
AIOps Use Cases You Need to Know About
After gaining a better grasp of what AIOps entails, it makes sense to consider the use cases.
1. Eradicates Business Service Impact
In today’s environment, it’s not enough to know whether or not business services are up and running or down and out. Your company needs to understand the degree to which everything is performing or underperforming, and the availability, health, and status of different business and IT services. Obtaining the depth and level of insight needed to provide the answers is expensive and complicated if you rely on legacy monitoring solutions.
These solutions are inadequate because they provide piecemeal coverage. How do you address this issue? Enter AIOps. You can get past the above mentioned challenges by using an AIOps platform.
2. Makes Data Analysis Easier
Is your IT department inundated with massive amounts of data in a dizzying array of formats? It can be challenging to stay on top of things using legacy systems not designed to handle the volume and velocity of data common today. To make informed strategic business decisions, you need access to reliable information. But if you don’t have a way to analyze big data, you’ll be at a disadvantage.
Using an AIOps platform, you’ll be able to rest knowing that the data is automatically analyzed to predict and safeguard against future problems. But that’s not where it ends because an AIOps platform will allow you to determine the cause of existing problems. What good is having access to a lot of information if you cannot derive value from it?
Using an AIOps platform will ensure your IT team won’t find big data to be nothing but a big problem.
3. Get Rid of Application Blind Spots
You’d better hope it’s a planned outage if there’s an application outage. Your company may need to schedule some downtime for routine maintenance, for instance, and your application might not be available for an extended period. In such cases, you’ll want to alert your customers ahead of time so they’re not caught off guard.
The other type of downtime, the unexpected and unplanned kind, is where you will run into problems. An application outage might go undetected for a while if your company’s using legacy tools to monitor such occurrences. This will create application blind spots that you can’t afford to overlook.
Fixing this problem will require your IT team to understand which application components depend on what infrastructure and how all the components or pieces interact. If this scenario is something you’ve encountered at your company, consider an AIOps platform. Such a solution will give you the tool you need to obtain the insight required to avoid blind spots.
4. Get a Handle on the Cloud
As of 2022, north of 60% of all corporate data is stored in the cloud. Reported benefits include, but are not limited to, lower IT costs, scalability, and business continuity. But one of the problems that many companies experience when they enter the cloud is sprawl. In other words, many businesses are working with multiple cloud providers to meet their different requirements.
What this sprawl issue is doing is increasing complexity and costs. If your company faces this problem, you’ll be at a time, productivity, and money disadvantage. One way you can turn things around and get a better handle on your cloud strategy is by using an AIOps platform. It’ll give your company’s IT team the visibility required get all the benefits you want from the cloud.
5. Use Your CMDB Better
Another use case for AIOps is better use of your business’ configuration management database (CMDB). Your company’s CMDB requires accurate information entered in a timely fashion. But it’s not as easy as it appears to update a CMDB properly. And if you don’t have an up-to-date CMDB, automation is a moot point. Using AIOps can make your CMDB more useful.
6. Facilitate Event Correlation
Yet another AIOps use case involves event correlation. Your IT team is bombarded with a tidal wave of alerts, but the reality is that only a small percentage of them are critically important. You can count on an AIOps platform to find the critical alerts, assemble them leveraging inference modes, and figure out the main reasons for the problem. So, your IT team won’t have to sort through an endless stream of alert emails and experience alert fatigue–most of which don’t require their involvement. They’ll instead get the critical alerts that require their quick and decisive action. If you have a small IT team, you’ll be able to maximize their efforts by prioritizing high-level tasks.
IT department teams traditionally comb through infrastructure data to determine and fix problems. But AIOps has the ability to figure out the route cause of issues. It can tap into infrastructure alerts and direct them to the IT team via AP integration pathways. By so doing, AIOps tools facilitate incident auto-remediation by connecting IT operation management solutions with IT service management departments.
7. Threat Detection
Threat detection is a must. Using an AIOps tool, your IT department can fortify your security strategy. The tool will diligently search through the massive amounts of data to find any scripts, botnets, or other online threats that can critically damage your corporate infrastructure. Remember that AIOps platforms use AI and machine learning to uncover patterns that can jeopardize customer experience and business service availability.
8. Capacity Optimization
Another use case for AIOps is capacity optimization. With the right platform, your AIOps will keep track of raw utilization, memory, CPU, bandwidth, and other essential metrics. So, you’ll be able to maximize the use of the capacity you already have.
Are you looking for an AIOps platform for your company? As you can see, such a tool can significantly help your company’s IT department. Before choosing, consider your options. You’ll want the right one for your specific needs. Aisera offers the AIOps function you’re looking for. But don’t take our word for it. Speak to our AI & automation consultants today and request a demo.