Dynatrace Delivers Software Intelligence for Red Hat OpenShift 4 by Leveraging AI
Dynatrace announced immediate support for Red Hat OpenShift 4, the next level Red Hat project to help in containerizing software systems. The collaboration with Red Hat permits more time to enterprises to focus on innovation instead of spending it on managing operations or infrastructure. Essentially, the company will deliver software intelligence for Red Hat’s Kubernotes platform — the tools have been recently revamped to better cater to complex production issues that happen during container orchestration.
“Red Hat OpenShift 4 is all about enabling enterprises to more quickly develop, deploy and scale cloud-native applications by delivering a smarter Kubernetes platform,” said Steve Tack, SVP of Products at Dynatrace. “Through Dynatrace’s native compatibility with OpenShift and Kubernetes, Dynatrace accelerates this digital transformation by providing automatic, AI-powered answers about degradations in service, anomalies in behavior, and precise user impact where other solutions go blind.”
As enterprises transform from legacy to hyper-streamlined digital applications, PaaS development methodologies with Microservices architectures and containerization help large corporations in focusing on designing value for their digital assets rather than investing time and attention on looking at the nitty-gritty of the transformational process. The specialty of Red Hat OpenShift 4 is that it is fantastic in automating every aspect of Kubernotes across container layers, from the operating system until the application.
“Red Hat OpenShift 4 aims to make the day-to-day of software operations effortless for both operations teams and for developers,” explains Julio Tapia, director, Cloud Platforms Partner Ecosystem, Red Hat. “Dynatrace supports this goal by offering automatic, AI-powered monitoring of the entire OpenShift stack, including applications and containers. Our ongoing collaboration enables customers to benefit from full visibility into application workloads and cluster components, helping them deploy a cloud-native world with greater speed and confidence.”
What Dynatrace is doing is automatically monitor and, subsequently, analyze this aforementioned environment without missing a spot. Traditionally, automatic monitoring is done at pre-selected components in the Information Technology Infrastructure and it requires manual efforts for IT professionals to stitch together and audit data coming from myriad sources. Dynatrace combines the automatic monitoring capability with its AI-engine, Davis, delivering real-time incident management and actionable insights.