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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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Recording on JMeter

DZone

This series helps you to learn Apache JMeter in a much simpler way with the relevant examples and exercises. To get started with application performance testing, the first step in JMeter is recording your business transactions. Recording the business flow helps to expedite the process of creating test plans.

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Interpreting A/B test results: false positives and statistical significance

The Netflix TechBlog

Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the third post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. Have a look at Part 1 (Decision Making at Netflix) and Part 2 (What is an A/B Test?). Need to catch up?

Testing 226
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations.

Traffic 339
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Building High-Quality Software

DZone

It’s much better to build your process around quality checks than retrofit these checks into the existent process. 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. There are so many benefits.

Software 245
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Service level objectives: 5 SLOs to get started

Dynatrace

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Latency 171
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Traffic 173