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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. The pandemic, however, posed unique challenges in conducting a conventional in-lab subjective test with HDR encodes. 1) depicts the migration of traffic from fixed bitrates to DO encodes. The graphic below (Fig.

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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

And the last sentence of the email was what made me want to share this story publicly, as it’s a testimonial to how modern software engineering and operations should make you feel. This number was so low because the automatic traffic redirect was so fast it kept the impact so low.

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Protect your organization against zero-day vulnerabilities

Dynatrace

Typically, organizations might experience abnormal scanning activity or an unexpected traffic influx that is coming from one specific client. One way to detect zero-day attacks is by observing software behavior and identifying whether any actions are malicious.

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Curbing Connection Churn in Zuul

The Netflix TechBlog

That’s a significant amount and certainly more than is necessary relative to the traffic on most clusters. More acutely, if a traffic spike occurs and Zuul instances scale up, it exponentially increases connections open to origins. There is effectively no churn of connections, even at peak traffic.

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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

With traffic growth, a single leader node handling all request volume started becoming overloaded. We ran empirical tests for scenarios of low and high request volumes, and the results are presented in the next section. A test with load close to the peak of Titus Job Coordinator capacity, above which the original system collapses.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. What more can we learn from this test, to inform the next one?”

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Achieving observability in async workflows

The Netflix TechBlog

Prodicle Distribution Our service is required to be elastic and handle bursty traffic. Our team was responsible for Google integrations, watermarking, bursty traffic management, and on-call support for this application. Early prototypes and load tests validated that the offering could meet our needs. Things got hairy.

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