24/07/2024 | Press release | Distributed by Public on 24/07/2024 17:18
Observability is fundamental when working with hybrid workloads. It serves as the foundation for informed decision-making and efficient operations. Observability provides valuable insights into system performance, resource utilization, and application health. However, achieving the end-to-end observability required to ensure the smooth operation of your systems and applications and, thus, business continuity, is challenging.
As we did with IBM Power, we're delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x). IBM Z and LinuxONE mainframes running the Linux operating system enable you to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.
Dynatrace enhances software quality and operational efficiency, which drives innovation by unifying application, operation, and platform engineering teams on a single platform. Dynatrace with Red Hat OpenShift monitoring stands out for the following reasons:
The new Dynatrace Kubernetes experience also marks a groundbreaking advancement for platform engineering teams by enabling you to pull critical observability and security information into a centralized Kubernetes management console. In particular, it allows you to explore cluster health, resource utilization, security, and the performance of applications built and deployed on a Kubernetes-centric platform. This is significant when coupled with the OpenShift platform.
Dynatrace Operator leverages Kubernetes' native capabilities to automate the rollout, configuration, and lifecycle management of Dynatrace components within Kubernetes environments. It simplifies setting up and maintaining Dynatrace observability by encapsulating the necessary configuration and operational logic into a single entity.
Dynatrace Operator acts as an intelligent controller that understands the desired state of your Dynatrace monitoring environment and takes actions to achieve it. It automates tasks such as provisioning and scaling Dynatrace monitoring components, updating configurations, and ensuring the health and availability of your monitoring infrastructure.
Dynatrace Operator consumes DynaKubes with cloud-native full-stack configuration and deploys the following resources:
With this approach: