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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. All data should be also available for offline analytics in Hive/Iceberg. Unlike Java, we support multiple inheritance as well.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka achieves scalability by distributing topics across multiple partitions and replicating them among brokers.

Latency 147
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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Dynatrace news. New to Dynatrace?

Analytics 246
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management.

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A Kubernetes platform engineering strategy tames Kubernetes complexity

Dynatrace

The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer. This created problems with both visibility and scalability. “For example, if most teams run Java, it might not make sense trying to support an outlier.

Strategy 264
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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

Although the adoption of serverless functions brings many benefits, including scalability, quick deployments, and updates, it also introduces visibility and monitoring challenges to CloudOps and DevOps. From here you can use Dynatrace analytics capabilities to understand the response time, or failures, or jump to individual PurePaths.

Lambda 345
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Dynatrace joins the OpenTelemetry project

Dynatrace

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available. What Dynatrace will contribute.

IoT 53