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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. Of these open-source observability tools, one stands out. Monitoring begins here. Dynatrace news. What is OpenTelemetry?

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Mastering Prometheus: Unlocking Actionable Insights and Enhanced Monitoring in Kubernetes Environments

DZone

In the dynamic world of cloud-native technologies, monitoring and observability have become indispensable. However, managing its health and performance efficiently necessitates a robust monitoring solution. Kubernetes, the de-facto orchestration platform, offers scalability and agility.

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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. What is Prometheus?

Metrics 176
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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable. What is OpenTelemetry?

Metrics 179
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How to collect Prometheus metrics in Dynatrace

Dynatrace

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 199
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Prometheus AWS Exporter and Grafana

DZone

The main purpose of this article and use case is to scrape AWS CloudWatch metrics into the Prometheus time series and to visualize the metrics data in Grafana. These tools give greater visibility other than collecting the metrics also, where we can set up critical alerts, live views, and custom dashboards.

AWS 256
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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

AI model observability plays a crucial role in achieving this by addressing these key aspects: Model performance and reliability: Evaluating the model’s ability to provide accurate and timely responses, ensuring stability, and assessing domain-specific semantic accuracy.