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Running the OpenTelemetry demo application with Dynatrace

Dynatrace

The demo has been in active development since the summer of 2022 with Dynatrace as one of its leading contributors. The demo application is a cloud-native e-commerce application made up of multiple microservices. OpenTelemetry demo application architecture diagram. By default, the demo comes with?Jaeger OpenTelemetry?community

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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

For that, we focused on OpenTelemetry as the underlying technology and showed how you can use the available SDKs and libraries to instrument applications across different languages and platforms. We also introduced our demo app and explained how to define the metrics and traces it uses. What is OneAgent?

Metrics 163
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Unlock log analytics: Seamless insights without writing queries

Dynatrace

Kubernetes delivers comprehensive monitoring and management capabilities for Kubernetes environments, enabling organizations to ensure the performance, availability, and scalability of their containerized workloads. See for yourself Watch a demo of logs in context within various Dynatrace Apps in this Dynatrace University course.

Analytics 182
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Prevent potential problems quickly and efficiently with Davis exploratory analysis

Dynatrace

To ensure continuous availability, it‘s essential to proactively analyze potential problems and optimize the environment in advance to minimize the negative impact on users and improve user experience. The proper focus and best optimization level must be chosen wisely to get the most out of the available time.

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Dynatrace adds OpenTelemetry trace ingest for open, automatic, and intelligent observability

Dynatrace

Say you’re running the Online Boutique , a cloud-native microservices demo application, that allows users to browse items, add them to a shopping cart, and purchase them. Beginning with Dynatrace version 1.216, trace ingest is available in a Preview release (registration required). Detailed use case. How to get started.

Cloud 264
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Efficient SLO event integration powers successful AIOps

Dynatrace

For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information. Let’s assume we created a service-availability SLO, monitoring the request failure count against the overall request counts.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. The Collector is a highly flexible platform and provides many more types of processors and receivers than we would possibly demo here. Please stay tuned!

Metrics 169