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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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Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

You can now: Kickstart your creation journey using ready-made dashboards Accelerate your data exploration with seamless integration between apps Start from scratch with the new Explore interface Search for known metrics from anywhere Let’s look at each of these paths through an end-to-end use case focused on Kubernetes monitoring.

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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

However, data overload and skills shortages present challenges that companies need to address to maximize the benefits of cloud and AI technologies. With Dynatrace, customers can utilize the full set of Azure capabilities, including metrics and data from the Azure platform, and automatically identify workflow optimization opportunities.

Cloud 263
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HTTP monitors on the latest Dynatrace platform extend insights into the health of your API endpoints and simplify test management

Dynatrace

Exploratory analytics now cover more bespoke scenarios, allowing you to access any element of test results stored in the Dynatrace Grail data lakehouse. Select any execution you’re interested in to display its details, for example, the content response body, its headers, and related metrics. Wed like to use it for our dashboards.

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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. The market is saturated with tools for building eye-catching dashboards, but ultimately, it comes down to interpreting the presented information.

Traffic 262
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Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Dynatrace

Good visualizations are not just static, unintelligent data presentations; they enable interaction and ideally serve as a starting point for subsequent analysis. While histograms look much like time-series bar charts, they’re different in that each bar represents a count (often termed frequency) of metric values.

Latency 246
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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 246