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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.

Metrics 185
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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

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

Dynatrace

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to help software developers and operations teams understand what their software is doing and where it’s running into snags. We also introduced our demo app and explained how to define the metrics and traces it uses.

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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 182
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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. But there is a lack of time for DevOps , SRE , and developers to analyze all this data to identify whether there’s a user impacting problem and if so – what the root cause is to fix it fast. Dynatrace news.

Metrics 222
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Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. By using JavaScript and DQL, these dashboards can help generate reports on the current DORA metrics. What’s next?

DevOps 208
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DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

Agentless RUM, OpenKit, and Metric ingest to the rescue! This also, unfortunately, alerts our product developers instead of me if the app causes an error on the dashboard. What insights can we gain from usage metrics that we can feed-back to our product management teams? App architecture. Agentless RUM. How can I segment them?

Analytics 137