Dynatrace announced immediate support for Red Hat OpenShift 4, the next generation of Red Hat’s enterprise Kubernetes platform, reengineered to address the complex realities of container orchestration in production systems.
“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 behaviour, and precise user impact where other solutions go blind.”
As enterprises continue to digitally transform their businesses, PaaS application development environments, including container and microservices architectures, enable enterprises to focus more on creating and improving value-add application features and less on managing underlying operating systems and infrastructure. Red Hat OpenShift 4 is designed to make this easier for Kubernetes environments through automated installation, patching, and upgrades for every layer of the container stack from the operating system through application services.
Dynatrace’s Software Intelligence platform automatically monitors and analyzes containers and the microservices running inside of them across the entire Red Hat OpenShift 4 Kubernetes environment and underlying multi-cloud infrastructure with no blind spots. Dynatrace provides automatic visibility into the full cloud native stack. Combined with Dynatrace’s deterministic AI-engine, Davis, this delivers real-time problem identification and end-to-end, actionable insights 24x7 across the full dynamic cloud stack from applications to containers to infrastructure.
“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.”
The Latest
Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers cloud, the edge and IT outages ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers user experience, Digital Experience Management (DEM) and the hybrid workforce ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...
Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...