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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 182
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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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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 173
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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 180
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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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Transparent and confident software delivery with Dynatrace Release Analysis

Dynatrace

This is the question that drives many of us who work along the software-product lifecycle. Answering this question requires careful management of release risk and analysis of lots of data related to each release version of your software. Services and metrics that show version information will be added.

Software 240
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Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

Both SREs and application teams invest substantial time and effort in locating and rectifying software glitches within their local environments. By using JavaScript and DQL, these dashboards can help generate reports on the current DORA metrics. Addressing such failures can lead to improvements and further enhance the DORA metrics.

DevOps 205