Beyond error detection, towards self-healing Consider this all-too-familiar challenge: An anomaly in a large microservice application triggers a storm of alerts as services around the globe are impacted. As your application contains literally millions of dependencies, how do you find the original error? Conventional monitoring tools are not much help. They collect metrics and raise alerts, but they provide few answers as to what went wrong in the first place. In contrast, envision an intelligent system that accurately provides the answers—in this case, the technical root cause of the anomaly and how to fix it. Such intelligence, if accurate and reliable, can be trusted to trigger autoremediation procedures before most users even notice a glitch. AI and automation are poised to radically change the game in operations. And even more, it's about collecting and applying intelligence along the entire digital value chain, from software development through service delivery all the way to customer interactions. Smart integration and automation will drive the next innovation cycle in enterprise software. AIOps Done Right: Automating the Next Generation of Enterprise Software The Promise of AI Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. AIOps Replace a storm of noisy anomaly alerts with accurate and reliable root cause analysis. Intelligent DevOps Increase the speed of innovation and software quality through intelligent performance and regression testing. Auto-remediation Automate anomaly remediation and performance optimization based on system health and real user demands. Smart customer engagement Use business intelligence data to improve customer experience, including automatic remediation of breakdowns and complaints. ©2019 Dynatrace 3 A proven record in AIOps “Dynatrace is the first I’ve seen where the AI really shines. Incredible.” Ariel Molina, Sr. Dir., Software Engineering & Enterprise Architecture at Carnival Cruise Line Dynatrace helps the world’s most recognized brands to simplify cloud complexity and accelerate digital transformation. Davis—our deterministic, causation-based AI engine—was built into the fabric of the Dynatrace software intelligence platform four years ago, at a time when cloud computing became mainstream and conventional monitoring tools hit a wall. Since then, many leading global brands have relied on Dynatrace to accurately and reliably identify the root cause of performance problems while automating Ops, DevOps, and business processes. “Dynatrace, within two minutes came back and said 'you have a problem in your cloud instance', and we spun up extra resources. So we avoided having to close down supermarkets and disappoint customers waiting in line.” How to avoid closing down 500 supermarkets on a busy Saturday: “We fire up Dynatrace, and immediately the AI goes to work and identifies problems. There's no digging—it’s bubbling to the top. It’s right there in your face. It just does it for you; it’s amazing.” Coop, Denmark’s largest food retail group, celebrated its 150th anniversary by digitizing its business and moving 80% of their core apps into the cloud. Steve Strout, Director, Platform Engineering Assurant In 2016, Coop launched their new customer loyalty solution and an updated point-ofsale software. Despite extensive testing, a problem developed soon after the launch in production—checkout registers froze when trying to print out receipts. Suddenly, Coop was facing the prospect of having to close 500 of its stores on a busy Saturday morning because its payment systems were down. Jeppe Hedesgaard Lindberg, Application Performance Manager at Coop Denmark “The AI paves the way for autonomous operations, enabling us to create auto-remediation workflows that remove the need for human intervention in the resolution of recurring problems.” David Shepherd, Service Delivery Manager, Global IT Service Excellence at Experian However, two minutes after the first problems occurred in a couple of stores, the Dynatrace monitoring software was able to pinpoint the root cause, a lack of CPU power in the Azure cloud. A major breakdown was avoided by simply spinning up additional resources on the fly. AIOps Done Right: Automating the Next Generation of Enterprise Software ©2019 Dynatrace 4