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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. Annotations Sometimes people describe annotations as tags but that is a limited definition. We expect the algorithm types to grow widely in the coming years.

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Best practices for Fluent Bit 3.0

Dynatrace

Scalability and efficiency: Improved scalability and performance enhancements, optimized compression, and efficient data routing contribute to a more streamlined and cost-effective observability solution with Fluentbit 3.0. Tags make routing possible and are set in the configuration of the input definitions.

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A look at the GigaOm 2024 Radar for Cloud Observability

Dynatrace

With the Dynatrace platform, which report author Ron Williams describes as “an all-in-one observability, security, analytics, and automation platform for cloud-native, hybrid, and multicloud environments,” all your data is stored in one massively scalable data lakehouse.

Cloud 232
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Dynatrace supports Amazon Linux 2023 as an AWS launch partner

Dynatrace

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping organizations achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Saving your cloud operations and SRE teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time.

AWS 278
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Machine Learning for Fraud Detection in Streaming Services

The Netflix TechBlog

Although model-based anomaly detection approaches are more scalable and suitable for real-time analysis, they highly rely on the availability of (often labeled) context-specific data. Based on this reasoning, we tag all the accounts that acquire licenses very quickly as anomalous.

C++ 312
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Edgar uses this infrastructure tagging schema to query and join traces with log data for troubleshooting streaming sessions.

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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

How can we optimize for performance and scalability? Relying solely on traditional analysis methods like tagging and data correlation to answer such questions is inadequate when an IT landscape isn’t properly represented in a data model or when the cause-and-effect chain of services remains unclear.

Analytics 246