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Catching up with OpenTelemetry in 2025

Dynatrace

OpenTelemetry is enhancing GenAI observability : By defining semantic conventions for GenAI and implementing Python-based instrumentation for OpenAI, OpenTel is moving towards addressing GenAI monitoring and performance tuning needs. First, it allows human operators to correctly interpret the data they’re seeing.

Tuning 310
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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

This integration simplifies the process of embedding Dynatrace full-stack observability directly into custom Amazon Machine Images (AMIs). By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics. group of companies.

AWS 298
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New Distributed Tracing app provides effortless trace insights

Dynatrace

Use Distributed Tracing to improve application performance and troubleshoot faster In this scenario, an e-commerce business uses Dynatrace to monitor the performance of its online store. stay tuned for more enhancements and features. To understand the benefits of the Distributed Tracing app, let’s take a look at a typical scenario.

Tuning 299
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Demo: Transform OpenTelemetry data into actionable insights with the Dynatrace Distributed Tracing app

Dynatrace

The Service Level Monitoring section contains the following charts: Top Spans: An overview of the most frequent spans ingested into Dynatrace. So, stay tuned for more enhancements and features. To install the OpenTelemetry Demo application dashboard, upload the JSON file. The file can be downloaded here. This is just the beginning.

Metrics 246
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing.

Latency 147
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Introducing Impressions at Netflix

The Netflix TechBlog

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Tuning 165
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

As Netflix expanded globally and the volume of title launches skyrocketed, the operational challenges of maintaining this manual process became undeniable. Metadata and assets must be correctly configured, data must flow seamlessly, microservices must process titles without error, and algorithms must function as intended.

Traffic 170