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Get the most from Network Availability Monitoring on Dynatrace Managed

Dynatrace

The market demands a robust solution that can monitor applications and the underlying network infrastructure to ensure end-to-end availability and performance. The Dynatrace approach Dynatrace addresses these challenges by extending its synthetic monitoring capabilities to include Network Availability Monitoring.

Network 130
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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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Dynatrace extends Synthetic Monitoring capabilities with Network Availability Monitors to validate the availability of infrastructure and services

Dynatrace

As HTTP and browser monitors cover the application level of the ISO /OSI model , successful executions of synthetic tests indicate that availability and performance meet the expected thresholds of your entire technological stack. Our script, available on GitHub , provides details. into NAM test definitions.

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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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Demo: Transform OpenTelemetry data into actionable insights with the Dynatrace Distributed Tracing app

Dynatrace

A Dynatrace API token with the following permissions: Ingest OpenTelemetry traces ( openTelemetryTrace.ingest ) Ingest metrics ( metrics.ingest ) Ingest logs ( logs.ingest ) To set up the token, see Dynatrace API – Tokens and authentication in Dynatrace documentation. You can even walk through the same example above.

Metrics 246
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Tailored access management, Part 3: Simplified setup for enterprise-scale access management

Dynatrace

Access policies for Dynatrace Grail™ data lakehouse are still available as service-related policies; they allow you to control access to the monitoring data on a per-data-source level, for example, logs and metrics. For more information, go to our IAM policy boundaries documentation.

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Level up your strategic IT management with fully cost-transparent, fine-grained Dynatrace Cost Allocation

Dynatrace

Sometimes, introducing new IT solutions is delayed or canceled because a single business unit can’t manage the operating costs alone, and per-department cost insights that could facilitate cost sharing aren’t available. Head over to Dynatrace Documentation to learn more about how to set up cost allocation in your environment.