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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. With ASR, and other new and enhanced technologies we introduce, rigorous analytics and measurement are essential to their success.

Analytics 187
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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Dynatrace and Microsoft partnership provides innovative solutions that enhance customer experience, improve efficiency, and generate considerable savings.

Cloud 263
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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

The market is saturated with tools for building eye-catching dashboards, but ultimately, it comes down to interpreting the presented information. This is where Davis AI for exploratory analytics can make all the difference. This ensures optimal resource utilization and cost efficiency.

Traffic 262
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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 245
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Introducing Impressions at Netflix

The Netflix TechBlog

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. This integration will not only optimize performance but also ensure more efficient resource utilization. This leads to a lot of false positives that require manual judgement.

Tuning 165
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 246
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 245