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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. So, stay tuned for more enhancements and features.

Metrics 246
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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. A look to the future.

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Power Dashboarding, Part I: Start your exploration journey with Dashboards

Dynatrace

Whether you’re a seasoned IT expert or a marketing professional looking to improve business performance, understanding the data available to you is essential. As you went through these steps, you likely noticed some of the chart options available. For more information, you can always check our documentation.

Metrics 243
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Running the Astronomy Shop OpenTelemetry demo application with Dynatrace

Dynatrace

You can find additional deployment options in the OpenTelemetry demo documentation. All the needed components are available out of the box in the OpenTelemetry collector contrib distribution, which is included in the demo application. For details, see Dynatrace API – Tokens and authentication in theDynatrace documentation.

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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Both categories share common requirements, such as high throughput and high availability. It allows users to choose between different counting modes, such as Best-Effort or Eventually Consistent , while considering the documented trade-offs of each option. Let’s take a closer look at the structure and functionality of the API.

Latency 248
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Privacy Spotlight: Easily comply with data subject rights in Dynatrace

Dynatrace

This step lets you fine-tune your query to identify all matching data points, ensuring a thorough and accurate retrieval process. Check out the documentation for the Privacy Rights app. What’s next We’re working on making privacy rights handling even easier by making log deletion in Grail available in the Privacy Rights app.

Tuning 278
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing. It follows a push-based approach, ensuring messages are distributed to consumers as soon as they become available.

Latency 147