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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. The file can be downloaded here.

Metrics 246
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Monitoring GitHub-hosted runners with Dynatrace

Dynatrace

/actions/runners/downloads Fetches runner software download information. This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics. This customization ensures that only the relevant metrics are extracted, tailored to the users needs.

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Digital first, and always: Five critical metrics for measuring customer experience at federal agencies

Dynatrace

The five key metrics to improve customer satisfaction To help turn this around, Dynatrace makes available its unified observability platform, which captures all CX interactions and transactions in an automated, intelligent manner – including user session replays. When combined, key metrics will generate an accurate CX index score.

Metrics 246
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Best practices and key metrics for improving mobile app performance

Dynatrace

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. There are many common mobile app performance metrics that are used to measure key performance indicators (KPIs) related to user experience and satisfaction.

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Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Dynatrace

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations. Dynatrace news.

Metrics 246
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Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Dynatrace

While histograms look much like time-series bar charts, they’re different in that each bar represents a count (often termed frequency) of metric values. That way, you can compare multiple charts more easily, regardless of the metric or time span. These bars are called bins or buckets; their width represents a value range.

Latency 246
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Running the Astronomy Shop OpenTelemetry demo application with Dynatrace

Dynatrace

Download and configure Astronomy Shop First, get and run the Astronomy Shop app from its GitHub repository. The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.) metrics from span data. metrics from span data.