Automating root cause analysis is often regarded as the holy grail of IT operations. A solution capable of automatically identifying issues, resolutions and even prevention. Performed correctly, automated root cause analysis accelerates MTTI (Mean Time to Identify) and MTTR (Mean Time to Resolution). But for many platforms, this goal remains elusive: complexity, differences between deployments and different architectures make automating root cause challenging.
That was true for SAP, too, until Avantra 26 and Avantra AIR.
AI Captain!
Traditionally, diagnosing complex systems was the exclusive domain of platform experts. For large SAP estates, the challenge was formidable: hundreds of hostnames, dozens of landscapes, thousands of individual data elements, dependencies on thousands of lines of customized code and dozens of external integrations.
Old-school monitoring solutions just aren’t up to the task. The sheer volume of configuration, settings and upkeep required meant the juice just wasn’t worth the squeeze. So, we continued to lean on SAP experts every time an issue came up.
But with Avantra AIR, much of this is now automatic. Avantra AIR automatically monitors existing checks across the estate, using AI models purpose-built for SAP operations, grounded in Avantra’s proprietary SAP knowledge graph.
When problems do arise, Avantra AIR is ready to diagnose them. Avantra AIR is trained in SAP operations expertise to identify adverse outcomes from regular environmental and configured checks for compliance and operations in the estate. And better yet, Avantra AIR is doing this continuously; in many cases, potential critical conditions are identified long before they result in outages.
Plain English vs. Computerese, Please!
What good is diagnosis without understanding?
Human-readable diagnosis is a hallmark of Avantra AIR. Each diagnosis comes with a complete AIR report including an explanation of the diagnosed error and likely causes of the current status and condition of impacted systems.
The explanation is complete and robust, including the source metrics triggering the alert, technical and business functionality impact reporting, technical background information, likely causes and downstream impact.
The AI-based approach dramatically reduces alert noise, focusing on meaningful exceptions and anomalies, and ending the alert fatigue common in SAP operations using traditional monitoring tools.
The result? An SAP environment that’s stable and supports the business without exhausting your SAP experts performing mundane tasks and repetitive activities.
Taking that Next Best Step
In addition to human-readable root cause diagnosis, Avantra AIR provides a set of next-best-action recommendations for response and issue remediation. Recommended actions are designed for IT professionals, and not just SAP experts, and reports from Avantra beta customers are per-engineer savings of 10-20 hours monthly for senior engineers.
Each recommended action comes from AI models trained in decades of SAP operations expertise, accelerating the response time for organizations while reducing the dependency on specific SAP expertise for every situation.
The right information at the right time gives operations teams what they need to respond to any outage or even potential outage. With Avantra, automation accelerates preventive and corrective actions automatically, often preventing outages entirely with proactive corrective action.
Fresh AIR
Avantra 26 and Avantra AIR bring exciting new capabilities to SAP operations. While automated root cause analysis is a game-changer, it’s only the beginning. Avantra 26 introduces a suite of innovations designed to turn your SAP estate into a well-managed, self-healing environment anywhere you run SAP.
For more information on Avantra 26, be sure to check out the release blog. And if root cause analysis got your attention, or if managing a hybrid SAP estate across on-premises and Cloud ERP deployments is your challenge, schedule a meeting with an Avantra expert to discuss your automation needs.