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Dynatrace Observability for Developers saves time with real-time data

Dynatrace

What developers want Developers want to own their code in a distributed, ephemeral, cloud, microservices-based environment. This ownership starts with understanding how their code behaves in all environments, resolving issues, and writing and optimizing code in a high-quality, secure, and timely manner.

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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

Dynatrace released Cloud Native Full Stack injection with a short list of temporary limitations — referenced in our documentation — which don’t apply to Classic Full Stack injection. The application consists of several microservices that are available as pod-backed services. Monitoring such an application is easy.

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Create simple workflows to automate alerts during development

Dynatrace

You can select any trigger thats available for standard workflows, including schedules, problem triggers, customer event triggers, or on-demand triggers. You can learn more about event triggers in Dynatrace Documentation. Check out the Simple Workflows documentation to explore more use cases. Ready to try Simple Workflows?

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Log filtering made easy: Data segmentation and advanced filters in Dynatrace Logs

Dynatrace

While selecting a Kubernetes segment, the selector provides a dynamic list of available resources. Segments can implement variables to dynamically provide, for example, a list of entities to users, such as available Kubernetes clusters, for unmatched flexibility and dynamic segmentation. What are Dynatrace Segments?

AWS 217
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Dynatrace observability now available for Red Hat OpenShift on IBM Z and LinuxONE mainframes

Dynatrace

It automates tasks such as provisioning and scaling Dynatrace monitoring components, updating configurations, and ensuring the health and availability of your monitoring infrastructure. Dynatrace code modules, enabled via Dynatrace webhook, provide distributed tracing and code-level visibility for applications deployed on Kubernetes.

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Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Dynatrace

To achieve the best visual outcome, we recommend experimenting with the available customization options. Use color coding to tell a story. Go to our documentation to learn more about implementing honeycomb visualizations on your dashboards or notebooks. Try different cell shapes.

Latency 246
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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.