Remove platform open-standards
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Dynatrace OTel Collector distribution amplifies OpenTelemetry integration for scalable, production-ready observability

Dynatrace

OpenTelemetry standardizes how organizations instrument, generate, and collect telemetry data for analysis and provides community-based support. Because of its flexibility, this open source approach to instrumenting and collecting telemetry data is becoming increasingly important in large-size organizations.

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Enhance data collection with Dynatrace OpenTelemetry Collector distribution

Dynatrace

OpenTelemetry is gaining popularity because it’s considered a standard, and that’s why it’s a common choice for creating future-proof solutions for years to come. This collector, fully supported and maintained by Dynatrace, is entirely open source. Why do I need an OpenTelemetry collector?

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Observability Architecture: Financial Calculations Example

DZone

In 2020, I presented a series with insights from real implementations adopting open-source and cloud-native technology to modernize payment services. The architectures presented were based on open-source cloud-native technologies, such as containers, microservices, and a Kubernetes-based container platform.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

OpenTelemetry has become a standard for collecting traces, metrics, and logs. OpenLLMetry, an open source SDK built on OpenTelemetry, offers standardized data collection for AI Model observability. Standardizing the collection of essential model KPIs through OpenTelemetry ensures comprehensive observability.

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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

DZone

This article proposes a technique using Docker, an open-source platform designed to automate application deployment, scaling, and management, as a solution to these challenges. The proposed methodology encapsulates the ML models and their environment into a standardized Docker container unit. What Is Docker?

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The value of open platforms: How an open software intelligence platform accelerates innovation

Dynatrace

What is an open platform, and why do organizations need them? An open platform can address some of the challenges organizations have experienced as they move to the cloud to become more resilient and agile in the face of disruption. Conversely, an open platform can promote interoperability and innovation.