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Bringing IT automation to life at Dynatrace Innovate Barcelona

Dynatrace

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. They can be proactive in identifying issues in cloud environments. “It The plattorm can pre-analyze and classify logs.

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code.

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Cloud observability delivers on business value

Dynatrace

Cloud observability can bring business value, said Rick McConnell, CEO at Dynatrace. Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. But without effective cloud observability, they continue to experience challenges in their cloud environments.

Cloud 227
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Accelerating innovation with Kubernetes and Dynatrace

Dynatrace

Beyond its high availability, Kubernetes supports hybrid-infrastructure, allowing these teams to run their workloads on different Kubernetes environments across a variety of clouds and on-premises infrastructure. The post Accelerating innovation with Kubernetes and Dynatrace appeared first on Dynatrace blog. What’s Next.

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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said. This means that our development teams are spending less time fixing defects and more time writing new code.

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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console. Agent logs security.

Google 225
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Discover the power of the Dynatrace platform on Azure with Azure Native Dynatrace Service

Dynatrace

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click.

Azure 221