In this special guest feature, Matt Chotin, Vice President of Product Management at CloudBees, discusses how the visibility AIOps provides combined with automation capabilities allows businesses to be more proactive in changes they make to be more efficient. Matt is responsible for the company’s software as a service product strategy and execution globally. Prior to CloudBees, Matt served as senior director of developer initiatives at AppDynamics. Prior to AppDynamics, Matt held product leadership roles at Chegg and Adobe and co-founded his own startup.
AIOps is increasingly popular as organizations look to become more resilient and agile. In fact, Gartner predicts that AIOps service usage will rise from 5% in 2018 to 30% in 2023, highlighting a sharp rise in the implementation of the technology over the next few years. Enterprises are becoming more complex as they support new business models and functional models, undergoing digital transformation and incorporating new software into their day-to-day operations. The increase in workforce distribution only accelerates these changes. While not all organizations are ready for AIOps, it can be beneficial for organizations that have the culture, systems, and technology in place to take full advantage of it.
Benefits of AIOps
Businesses now run on software, and the more automation and intelligence businesses build around software complexity, the faster they’ll be able to anticipate problems and react to potential challenges before they even arise. With AI-based automation, enterprises are better equipped to handle the unexpected. In incident management situations, systems will quickly identify when something abnormal is happening and alert for quicker awareness. AIOps systems can also take steps to automatically resolve issues to avoid the enterprise losing significant business capabilities while waiting for human intervention, something becoming more important as the ratio of systems to caretakers only increases.
But more than mitigating failure, AIOps can also proactively identify areas for opportunity and improvement, allowing enterprises to be more agile and make proactive changes to their business. While AIOps often is thought to focus on system information, the same analysis capabilities are useful over business data, and can identify business trends or deviations from those trends. Ultimately, the goal for AIOps is to give organizations the opportunity to spend time on important things like innovation and growth.
Key Indicators of AIOps Preparedness and Best Practices
While the promise of AIOps sounds great – not all organizations are at a point in their digital transformation journey to start implementing. A successful and meaningful rollout of AIOps requires organizations to have a culture of automation already in place. Automation can range from the simple process of having software compiled and tested, all the way to code deployment and resource scaling. While the data and visibility provided by AIOps systems is key, it can’t be leveraged without the ability to quickly react, and that requires automation.
Additionally, organizations that implement AIOps need to be able to make changes to their software infrastructure quickly. AIOps can reduce burden and move ideas faster, but to do so organizations need to have systems in place that allow them to quickly make updates in real-time. The more manual an organization is, the less they are able to take advantage of insights provided by AIOps.
The insights and agility enabled by AIOps can help propel an enterprise into the next stage of its development, if it’s ready for it. Enterprises should look to leverage the proactive analysis afforded by this technology and take advantage of the opportunities AIOps enables. The visibility AIOps provides combined with automation capabilities allows businesses to be more proactive in changes they make to be more efficient. Ultimately, AIOps should make an organization’s leaders feel empowered to make changes and move ideas faster.
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