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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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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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Open-Sourcing a Monitoring GUI for Metaflow

The Netflix TechBlog

Open-Sourcing a Monitoring GUI for Metaflow, Netflix’s ML Platform tl;dr Today, we are open-sourcing a long-awaited GUI for Metaflow. link] Metaflow is a full-stack framework for data science that we started developing at Netflix over four years ago and which we open-sourced in 2019.

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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.

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

Dynatrace

OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable. OpenTelemetry is a free and open source take on observability. Especially if you have custom applications that rely on APIs to integrate with other services.

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Infrastructure Monitoring tools: 3 steps to evolve ITOps into AIOps

Dynatrace

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

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Introducing Configurable Metaflow

The Netflix TechBlog

Scaling experiments with Metaboost bindingsbacked by MetaflowConfig Consider a Metaboost ML project named `demo` that creates and loads data to custom tables (ETL managed by Maestro), and then trains a simple model on this data (ML Pipeline managed by Metaflow). This has been a guiding design principle with Metaflow since its inception.