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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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How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

Dynatrace

My goal was to provide IT teams with insights to optimize customer experience by collaborating with business teams, using both business KPIs and IT metrics. Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Google or Adobe Analytics).

Analytics 286
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Business process observability: Alerting on process KPIs

Dynatrace

Dynatrace Business Flow simplifies business process observability, connecting top-level process KPIs with detailed flow analytics. Each business unit relies on a collection of processes, and each process has metrics and KPIs that can be affected by delays, exceptions, or failures. How does this change over time? Average duration.

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Unlock the power of contextual log analytics

Dynatrace

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304
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Dynatrace Cost & Carbon Optimization certified for accuracy and transparency

Dynatrace

To continue down the carbon reduction path, IT leaders must drive carbon optimization initiatives into the hands of IT operations teams, arming them with the tools needed to support analytics and optimization. We implemented a wasted energy metric in the app to enhance practitioner actionability.

Energy 223
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Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Dynatrace

Dynatrace unified analytics capabilities for observability are top-of-the-class ( Gartner Magic Quadrant 2024 ), enabling you to query and analyze all your observability data across your enterprise. Go to our documentation to learn more about implementing honeycomb visualizations on your dashboards or notebooks.

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