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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

Analytics 212
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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. The Federal Reserve Regulation HH in the United States focuses on operational resilience requirements for systemically important financial market utilities.

Analytics 289
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OpenPipeline: Simplify access to critical business data

Dynatrace

There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. Metadata enrichment improves collaboration and increases analytic value. Our Business Analytics solution is a prominent beneficiary of this commitment. To unlock business value, the data must be: Accessible from anywhere.

Analytics 241
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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. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Dynatrace news. This is great!

Analytics 246
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What is security analytics?

Dynatrace

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.

Analytics 264
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Discover the new Dynatrace Runtime Vulnerability Analytics experience

Dynatrace

Key benefits of Runtime Vulnerability Analytics Managing application vulnerabilities is no small feat. Real-world context: Determine if vulnerabilities are linked to internet-facing systems or databases to help you prioritize the vulnerabilities that pose the greatest risk. Dont leave your systems vulnerable.

Analytics 130
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Powerful exploratory analytics for AI-driven insights

Dynatrace

This necessitates a comprehensive platform that empowers enterprises to understand IT and software within the broader context of their business operations, giving them confidence that their software and IT infrastructure are reliable. AI-driven analytics transform data analysis, making it faster and easier to uncover insights and act.

Analytics 130