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Demo: Monitoring the OpenTelemetry demo app Astronomy Shop with Dynatrace Dashboards

Dynatrace

But as most developers know, its the observability backend that reveals the value of your data and instrumentation strategy. The OpenTelemetry community created its demo application, Astronomy Shop, to help developers test the value of OpenTelemetry and the backends they send their data to.

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Kubernetes workload troubleshooting with metrics, logs, and traces

Dynatrace

There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. Dynatrace Davis , our deterministic AI, recently notified our teams about a problem in one of our Keptn instances we just recently spun up to demo our automated performance analysis capabilities orchestrated by Keptn. Dynatrace news.

Metrics 246
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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 245
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Deliver secure, safe, and trustworthy GenAI applications with Amazon Bedrock and Dynatrace

Dynatrace

Dynatrace helps enhance your AI strategy with practical, actionable knowledge to maximize benefits while managing costs effectively. Dynatrace is an all-in-one observability platform that automatically collects production insights, traces, logs, metrics, and real-time application data at scale.

Metrics 165
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Business observability and customer experience: A competitive edge for financial services

Dynatrace

It’s no surprise, then, that financial services companies have adapted their competitive strategies to emphasize customer experience over product and usability over location through the use of business observability. In fact, more than half of US consumers rely on three or more banking apps, and industry churn rates are at an all-time high.

FinTech 299
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Unlock the power of contextual log analytics

Dynatrace

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. Learn how Dynatrace can address your specific needs with a custom live demo.

Analytics 304
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Observability vs. monitoring: What’s the difference?

Dynatrace

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.