KeyBank on the path to autonomous cloud operations
One of the biggest benefits of working with Dynatrace is that they really get it.
Prior to Dynatrace, KeyBank relied on multiple monitoring solutions to gain visibility into its complex hybrid cloud environment, built on a mix of in-house technologies and third-party platforms such as Kubernetes and Red Hat OpenShift. But different tools meant different data sets, teams working in silos, a lack of visibility into customer-facing problems and an inefficiency in operations.
With Dynatrace, KeyBank was able to consolidate multiple monitoring tools to obtain a single view, eliminating siloes and ensuring everyone is working to a common vision.
Dynatrace has been purpose-built for the cloud, enabling KeyBank to make sense of its complex hybrid cloud environment and providing end-to-end visibility across the full stack – from infrastructure performance to end-user experience.
With its end-to-end monitoring and advanced automation capabilities, Dynatrace is helping to speed up KeyBank’s deployment cycle, providing visibility into how new services and features perform and enabling it to roll them back instantly if problems are identified.
Our team is constantly chasing that one little problem that’s out there, and to be able to dive into a customer session and see what they were experiencing is going to really help us resolve problems for our broader customer base.
With AI at its core, Dynatrace is helping KeyBank get on the path to autonomous cloud operations, allowing DevOps teams to create an unbreakable software delivery pipeline that enables faster innovation and improved product quality that enhances customer experience.
One of the areas that autonomous cloud management is going to make my life better is product quality. Already we’re starting to realize how we can get automation in place to get even faster at our deployments.