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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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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Break data silos and add context for faster, more strategic decisions : Unifying metrics, logs, traces, and user behavior within a single platform enables real-time decisions rooted in full context, not guesswork. Traditional network-based security approaches are evolving.

Strategy 296
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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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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. Public network traffic uses 1.0

Energy 223
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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture.

Network 327
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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. It now fully supports not only Network Availability Monitors but also HTTP synthetic monitors. The new Dynatrace Synthetic app allows you to analyze these results.

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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. This is where Davis AI for exploratory analytics can make all the difference. Your trained eye can interpret them at a glance, a skill that sets you apart.

Traffic 262