AIOps is being used globally by organizations of all types, industries, and sizes, and for a variety of scenarios.
Enterprises with Large, Complex Environments
AIOps adopters include companies with extensive IT environments, and spanning multiple technology types, which are facing issues of complexity and scale. When those are compounded by a business model that is heavily dependent on IT, AIOps can make a huge difference to the success of the company. Though these organizations may be in many different industries, they share a common scale, and a rapid and accelerating rate of change, as the need for business agility, in turn, creates more and more demand for IT agility.
AIOps is also being embraced by small and medium-size enterprises (SMEs), particularly those that were born in the cloud, and that need to develop and release software continuously and quickly. AIOps allows the SRE teams in these SMEs to continually sharpen their digital services while preventing glitches, malfunctions, and outages.
DevOps Teams in Organizations of All Sizes
Companies with a DevOps model can struggle to maintain alignment between the different roles involved. Direct integration of Dev and Ops systems into an overall AIOps model smooths away much of the potential friction. AIOps gives Dev teams a better understanding of the state of the environment and grants Ops teams full visibility of when and how developers are making changes and deployments into production. This holistic view ensures that CI/CD cycles run uninterrupted and that apps are created and delivered quickly and seamlessly.
In addition, DevOps pipelines generate massive amounts of data. To maintain the stability and speed of application delivery, DevOps leaders must analyze it quickly and continuously. While DevOps teams have automated most of their functions, many still have a manual decision-making process, which creates bottlenecks and leads to ill-informed actions. AIOps, with its ability to analyze data and recommend actions, is the key to making precise data-driven decisions and automating actions for rapid application delivery.
As Gartner states in its “Augment Decision Making in DevOps Using AI Techniques” report: “AI-driven approaches leverage the continuous data streams to enable pattern recognition, anomaly detection, and prediction and causality.” Gartner forecasts that “by 2022, DevOps teams that leverage AIOps platforms to deploy, monitor and support applications will increase delivery cadence by 20%.”
Organizations with Hybrid Cloud and On-Prem Environments
Moving workloads to a public cloud platform have well-known benefits, but there are also good reasons to keep certain applications and infrastructure on-premises. For this reason, many organizations find themselves with hybrid environments, and this brings its own set of IT operations challenges. By delivering a holistic, comprehensive view across all infrastructure types, and helping operators to understand relationships that change too quickly to be documented, AIOps helps Ops teams maintain control over these environments and provide service assurance.
Businesses Undergoing Digital Transformation
Digital transformation is the digitization of business processes in order to make the organization more efficient, agile, and competitive. At the heart of digital transformation initiatives is IT, which needs to operate at the speed that the business requires if it is not to become a bottleneck, preventing the achievement of the wider goals. By automating IT operations and preventing glitches that disrupt these digitized processes, AIOps helps IT deliver the level of technical support that successful digital transformation projects require.