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Running the Astronomy Shop OpenTelemetry demo application with Dynatrace

Dynatrace

OpenTelemetry Astronomy Shop is a demo application created by the OpenTelemetry community to showcase the features and capabilities of the popular open-source OpenTelemetry observability standard. OpenTelemetry Astronomy Shop demo application architecture diagram. To set up the demo using Docker , follow the steps below.

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OpenTelemetry histograms reveal patterns, outliers, and trends

Dynatrace

Imagine you’re using a lot of OpenTelemetry and Prometheus metrics on a crucial platform. A histogram is a specific type of metric that allows users to understand the distribution of data points over a period of time. You’re gathering a lot of data, but you can’t make sense of it. What are histograms, and why use them?

Metrics 240
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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 245
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Running the OpenTelemetry demo application with Dynatrace

Dynatrace

OpenTelemetry is an exciting open source observability standard that provides a common collection of tools, APIs, and SDKs to help collect observability signals. The demo has been in active development since the summer of 2022 with Dynatrace as one of its leading contributors. OpenTelemetry demo application architecture diagram.

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Dynatrace loves OpenTelemetry

Dynatrace

OpenTelemetry (OTel) is an open source framework for generating, ingesting, transforming, and exporting telemetry data. Backed by most of the industrys major observability vendors, OpenTelemetry has become one of the CNCF s most active open source projects, second only to Kubernetes. And why shouldnt we? Whats next?

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Introducing Configurable Metaflow

The Netflix TechBlog

Imagine a ML practitioner on the Netflix Content ML team, sourcing features from hundreds of columns in our data warehouse, and creating a multitude of models against a growing suite of metrics. Metaboost is an example of an opinionated framework developed by a team already using Metaflow. ' "scikit-learn": '1.4.0'

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Performance Testing with Open Source Tools – Myths and Reality

Alex Podelko

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. Otherwise we wouldn’t see so many commercial tools built on the top of open source including BlazeMeter (it is ironic that the article is posted on the BlazeMeter site), Flood, and OctoPerf.