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Catching up with OpenTelemetry in 2025

Dynatrace

In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. 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.

Tuning 310
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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

Metis has built an AI-driven database observability platform designed for developers and SREs. Stay tuned for updates, and as always, thank you for being part of the Dynatrace community. That’s why I’m thrilled to welcome Metis to Dynatrace.

Database 306
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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. Stay tuned for more exciting updates as we continue to expand our collaboration with AWS and help our customers unlock new possibilities in the cloud.

AWS 298
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

It facilitates the distribution of these learnings to other models, either through shared model weights for fine tuning or directly through embeddings. In NLP, the trend is moving away from numerous small, specialized models towards a single, large language model that can perform a variety of tasks either directly or with minimal fine-tuning.

Tuning 165
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Metadata Synchronization in Alluxio: Design, Implementation, and Optimization

DZone

Meanwhile, understanding the internal process is important in order to tune the performance. This article describes the design and the implementation in Alluxio to keep metadata synchronized. Why is Metadata Sync Critical in Alluxio.

Design 244
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Dynatrace achieves Google Cloud Ready – Cloud SQL designation

Dynatrace

Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server. This designation can also save time in evaluating Dynatrace solutions for organizations that are not already using them.

Google 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. Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing.

Latency 147