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Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the second 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. These UA campaigns typically feature static creatives, launch trailers, and game review videos on platforms like Google, Meta, and TikTok.

Analytics 190
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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. In dynamic and distributed cloud environments, the process of identifying incidents and understanding the material impact is beyond human ability to manage efficiently.

Analytics 289
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The keys to selecting a platform for end-to-end observability

Dynatrace

Part of the problem is technologies like cloud computing, microservices, and containerization have added layers of complexity into the mix, making it significantly more challenging to monitor and secure applications efficiently. Learn more about how you can consolidate your IT tools and visibility to drive efficiency and enable your teams.

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Distributed tracing with Dynatrace just got even better

Dynatrace

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems. Get ready to experience a whole new world of limitless tracing power.

Games 165
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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 264
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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. This is only possible because of our no-index approach and massive parallel processing capabilities, which enable Dynatrace to offer extra-long data retention (15+ months) at full granularity that is cost-efficient and fast.

Analytics 264
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Revolutionizing Software Testing

DZone

For more: Read the Report Artificial intelligence (AI) has revolutionized the realm of software testing, introducing new possibilities and efficiencies. The demand for faster, more reliable, and efficient testing processes has grown exponentially with the increasing complexity of modern applications.