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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. What is OpenTelemetry?

Metrics 177
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The road to observability with OpenTelemetry demo part 2: OpenTelemetry configuration and instrumenting applications

Dynatrace

As applications transform to be more distributed across multiple cloud environments, it becomes more important—and more difficult—to make them observable. We also introduced our demo app and explained how to define the metrics and traces it uses. api/v2/otlp/v1/traces'; $metricsURL = $baseURL. '/api/v2/otlp/v1/metrics';

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

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 175
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 168
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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Metrics, logs , and traces make up three vital prongs of modern observability. Distributed cloud systems are complex, dynamic, and difficult to manage without the proper tools.

Systems 183
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Simplify cloud operations with automated observability into your Azure Automation service

Dynatrace

Azure Automation provides an extremely powerful set of tools for automating operations within enterprises on hybrid cloud. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. What is Azure Automation?

Azure 258