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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. Basic with ads was launched worldwide on November 3rd.

Traffic 342
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Efficient SLO event integration powers successful AIOps

Dynatrace

Consequently, by understanding the intricacies involved, this enables us to swiftly confirm or refute the functional/business case of the business teams involved, including project managers, top management, developers, and tech leads. Path 2 (easier): I’m familiar with my application and the development team.

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Supercharging saga development

Particular Software

We’ve focused on supercharging your ability to develop NServiceBus sagas in our latest round of releases. As a result, you’re going to feel like you’ve got your own “ heads-up display ” when developing sagas. We created a bunch of analyzer diagnostics—15 in total—to supercharge your saga development. In NServiceBus version 7.7,

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Building High-Quality Software

DZone

NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. They are rerun(in the best case) and thus defeating the whole purpose of this exercise while spending tons and tons of time/money/energy on this).nn> A side note.

Software 245
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Interpreting A/B test results: false negatives and power

The Netflix TechBlog

We then used simple thought exercises based on flipping coins to build intuition around false positives and related concepts such as statistical significance, p-values, and confidence intervals. the difference in metric values between Groups A and B?—?the The variability of the metric in the underlying population. Sample size.

Testing 202
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How ShiftLeft Uses PostgreSQL Extension TimescaleDB

High Scalability

This post describes the requirements that we have to work with, how we use TimescaleDB to store and retrieve time series data, and the tooling we’ve developed to manage our infrastructure. We have two types of time series data: metrics and vulnerability events.

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Evaluating rendering metrics

Speed Curve

Network metrics have been around for decades, but rendering metrics are newer. These are a few of the rendering metrics that currently exist. A brief history of performance metrics. Metrics quantify behavior. Metrics quantify behavior. Gaps in today's performance metrics. Speed Index. Start Render.

Metrics 68