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

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

Traffic 347
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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 285
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

Before GraphQL: Monolithic Falcor API implemented and maintained by the API Team Before moving to GraphQL, our API layer consisted of a monolithic server built with Falcor. A single API team maintained both the Java implementation of the Falcor framework and the API Server. To launch Phase 1 safely, we used AB Testing.

Traffic 358
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TCP: Out of Memory — Consider Tuning TCP_Mem

DZone

The application was running on a GNU/Linux OS, Java 8, Tomcat 8 application server. All other application instances were handling the traffic properly. Proxy Error The proxy server received an invalid response from an upstream server. Proxy Error The proxy server received an invalid response from an upstream server.

Tuning 173
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Rapid Event Notification System at Netflix

The Netflix TechBlog

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters.

Systems 334
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Kubernetes vs Docker: What’s the difference?

Dynatrace

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. What is Docker? Watch webinar now!

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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control. OneAgent implements network zones to create traffic routing rules and limit cross data-center traffic. Stay tuned for upcoming announcements around OpenTracing and OpenTelemetry. What’s next?

Java 245