2019 Predictions for AIOps
Many enterprises have found that Artificial Intelligence for IT operations (AIOps) platforms help them better manage their hybrid IT environment and improve system availability. Next-generation solutions – call it AIOps+ — now offer advanced capabilities such as automated pattern discovery and prediction, automated it infrastructure entity discovery and application mapping, and data and event correlation across the IT stacks. Based on these advanced features, we predict more firms will adopt AIOps+ in the coming year.
#1 – Enterprises will experiment with AIOps tools but will deploy AIOps+ solutions
While standalone AIOps tools can deliver useful capabilities such as anomaly detection and noise reduction across both legacy and digital environments, organizations may discover the promise of AIOps is difficult to achieve without understanding the business application context. Enter AIOps+ that works across the IT environment, ingesting and correlating massive amounts of data from a variety of sources, from business transactions to applications to it infrastructure. The full-stack data correlation delivered by AIOps+ will increase the accuracy of the machine learning predictions by enabling the ML algorithms to work on real-time, application specific events.
#2 – AIOps+ will help organizations succeed with digital transformations
While traditional IT environments can accept MTTR in the range of hours, modern organizations that are increasing their reliance on digital processes, will not survive unless they can depend on hybrid IT environments with significantly higher uptime performance. Imagine an on-line reservation system, a patient onboarding application, or an eCommerce site – what would be the business impact if they were down for hours or day? AIOps+ solutions provide the advanced real-time/predictive analytics needed for IT teams to make sense of vast sets of event data and drive faster IT incident response. By extracting meaningful insights from business transaction metrics, application flows and incident data, IT can quickly determine the root cause of an issue and even predict when the next outage will occur. Industry analyst Gartner sees an increasing role for artificial intelligence systems in the next few years as IT departments struggle to support their sprawling digital environments with limited staff.
#3 – MSPs will start deploying AIOps+ to increase their revenues and efficiency
Given the pressing need for 24/7 system availability and reliability, AIOps+ is becoming the future of the agile, digital enterprise. Clients depend on their MSPs to meet their service level agreements (SLA’s) and maintain system availability at all time. However, as more mission-critical applications migrate to the cloud, the siloed, fragmented nature of distributed hybrid IT operations can hinder the incident diagnosis/resolution process. Performing root-case analysis and system diagnostics is complicated by several factors such as: where is the problem located and who owns it; is the issue related to an application or infrastructure failure; and how is the problem impacting system performance? AIOps+ can provide the end-to-end visibility of distributed IT environment and real time data analysis that MSP’s need to automate root cause analysis and quickly resolve service performance issues.
#4 – Enterprises will appoint centralized teams to take responsibility for AIOps+ deployments
Today, very few organizations have a centralized team responsible for IT operations. Since today’s tools are siloed, IT organizations have structured themselves in the same manner with compute, network, applications and storage analysts each focused on their niche, each using a disparate tool. They still are not using cross-functional tools that correlate data across each silo. In isolation, it may not look as if there is an issue however when the data is correlated, issues emerge. With AIOps+ solutions, organizations gain access to powerful new capabilities. Building a centralized team ensures that the organizations gets a holistic view of the entire hybrid IT environment.
#5 – Consolidation in the AIOps market will start to occur, with those offering AIOps+ gaining ground
Many AIOps vendors have emerged in the market – and not all are worth the hype. Today, there are big and small AIOps providers with varying capabilities. As the AIOps market matures, we foresee a supplier shakeout, with those offering limited AIOps capabilities not surviving. Rather, we think successful vendors will be those offering robust AIOps+ solutions with advanced features such full stack correlation, agentless auto-discovery, automated remediation/restoration, data anomaly detection, and seamless integration with ITSM tools.
#6 – Traditional siloed ITOM/ITOA budgets will freeze and be reallocated to AIOps+
To keep up with the demands of digital business, organizations need to rethink their approach to managing silo hybrid IT environments and system maintenance. As the pain of operational volume, value, variety and velocity of big data analytics grows, organizations need an effective alternative to disparate application monitoring tools and siloed solutions. We predict forward-thinking organizations will reallocate budgets to AIOps+ solutions to better manage, plan, and troubleshoot issues across the entire IT infrastructure monitoring in real-time.
#7 – An ecosystem of solutions (built by SI/VAR/MSPs) will emerge to enrich existing AIOps+ platforms
The best AIOps solutions can seamlessly integrate with other IT assets, ERP applications, and multiple data sources. For example, FixStream’s new release integrates with ServiceNow and Cherwell ITSM/CMDB platforms, New Relic APM, SolarWinds and ManageEngine monitoring tools, etc. delivering functions such as auto-ticketing and change management, and creating an integrated solution greater than the sum of its parts. Taking it a step forward, we see a community of value-added resellers (VARs), system integrators (SI’s) and MSP’s emerging to create customized solutions for AIOps+ platforms that enhance its capabilities, perhaps to meet the needs of a specific industry or to incorporate advanced security features.
In 2019, we think more IT organizations will recognize how AIOps+ solutions can detect, predict and resolve business issues across an enterprise’s entire hybrid IT environment. For example, the latest AIOps+ offering from FixStream enables customers to detect patterns with 90%+ probability and reduce MTTR to just minutes, so IT operations can achieve appropriate service levels and meet customer expectations.
For more information on how FixStream AIOps+ can help you modernize IT ops this year, view our video.