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How to collect Prometheus metrics in Dynatrace

Dynatrace

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 206
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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces. See CloudFormation template documentation for details.

Cloud 257
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Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 216
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Get the insights you need for your F5 BIG-IP LTM

Dynatrace

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. By analyzing metric anomalies between hosts and load balancers, Davis AI can quickly resolve problems, thus expediting the process. What’s next?

Traffic 200
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Citrix monitoring with Dynatrace: Easily observe your entire Citrix ecosystem

Dynatrace

Effortlessly monitor your Citrix environment with Dynatrace The Citrix monitoring process now employs two methods to collect metrics and provide complete Citrix performance observability. The VDA extension, which focuses on users and sessions, was upgraded to enable the gathering of metrics for landscape health.

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Automate predictive capacity management with Davis AI for Workflows

Dynatrace

The forecast operation is selected within the Davis action, and a DQL query is used to specify the set of disks and the capacity indicator metric that should be predicted. Tip: Download the TypeScript template from our documentation. In this example, two parallel actions are defined. Create an alarm event for predicted shortages.

Metrics 209
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Dynatrace OTel Collector distribution amplifies OpenTelemetry integration for scalable, production-ready observability

Dynatrace

Sample configurations and documentation. Dynatrace Documentation includes example configurations for the key use cases, as well as for non-Dynatrace customers. Users can run the Dynatrace OTel Collector to mask sensitive data next to applications and ensure that no sensitive data leaves the internal network.