Scaling up with AI and out to the edge with Red Hat and Dynatrace

As we covered in previous installments in this series about proactively resolving issues before they impact customers, using Red Hat and Dynatrace solutions together can help organizations pinpoint the root cause of issues in real time and remediate them without having to track problems down manually and expend IT labor addressing them when they come up. With automation, organizations can minimize the time to resolution and remove the manual approval step that was previously required between identifying a problem and fixing it, freeing operations resources to bring more innovation to IT rather than dedicate that time to remediating incidents.

Self-service provisioning reduces administrative effort and delivers resources to developers faster. Where provisioning a new cluster could have taken several months without automation, self-service through Red Hat OpenShift reduces setup time to weeks or days. When the Dynatrace solution detects potential issues, operations teams can use the self-healing capabilities of OpenShift to proactively resolve them before customers are impacted.

Using Red Hat and Dynatrace solutions together, organizations can:

• Address cloud-native and infrastructure automation challenges before they disrupt the end customer experience
• Shorten time to value, free developers to be more productive, and increase the speed of innovation in the environment
• Simplify cloud complexity and accelerate digital transformation

With Red Hat Developer Hub, developers can become more productive with a comprehensive view that streamlines application onboarding and that pairs well with Dynatrace solutions. At the other end of the spectrum, Red Hat Device Edge lets you simplify the deployment and lifecycle management of traditional and containerized workloads in small form-factor edge devices so you can flexibly meet the needs of end users.

Red Hat OpenShift AI provides an integrated MLOps platform for building, training, tuning, deploying and monitoring AI-enabled applications and predictive and foundation models at scale across hybrid cloud environments. Dynatrace can provide unified observability for AI workloads on OpenShift and help optimize the operation of business-critical AI/ML applications. Observability and self-healing capabilities at the edge create the potential for streamlining and significant cost savings for organizations. The ability to integrate Dynatrace observability into the developer experience holds promise for reducing time to market for development teams.

With the help of Red Hat and Dynatrace, organizations can discover issues faster before they impact customers and detect root causes more quickly, react to exceptions right away with automation and AI, reduce operational costs and enable faster delivery. Together, Red Hat and Dynatrace can help you manage the inherent complexity of multicloud and hybrid cloud environments and automate infrastructure while reducing time to resolving incidents and reducing time to value.

Check out the Red Hat catalog to learn more about observability solutions from Red Hat and Dynatrace.