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Telemetry is a process of automated collecting and transmitting of measured data to gain insights, monitor and optimize performance. By gathering and analyzing data from network devices, platforms or services, it helps businesses make informed decisions and proactively address occurring issues.

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OBSERVABILITY

Explainer on instrumentation with OpenTelemetry

By leveraging OpenTelemetry for instrumentation, you can address observability concerns in your application while keeping the implementation vendor neutral and choose monitoring or distributed tracing systems later.
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OBSERVABILITY

The crucial role of machine learning metadata and its influence on content embeddings

Explore the realm of content embeddings, a crucial concept in machine learning that transforms complex data into a format that machines can efficiently process. Through improving data quality, providing contextual relevance, and enabling feature engineering, metadata is shown to be a crucial element in the development of advanced AI systems.
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OBSERVABILITY

OpenTelemetry for reliability and control: Aperture

With the rise of cloud computing it became easier to create complicated distributed systems based on microservices. With this came the need to monitor the statuses of the deployed services and many tools and technologies were created to do that.
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OBSERVABILITY
NETWORKS

Introduction to network telemetry

You may have already heard about network telemetry, but you are not sure you understand well enough what exactly is behind it. If that's the case, you'll find the right explanation in this article. The term "network telemetry" can be understood in different ways. Over the years, it was not completely clear for everyone. Following the RFC 9232, you will come across the following understanding of the terms "network telemetry" and "telemetry data"- “Network telemetry is a technology for gaining network insight and facilitating efficient and automated network management.

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