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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.

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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.

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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

This blog post will share broadly-applicable techniques (beyond GraphQL) we used to perform this migration. The control group’s traffic utilized the legacy Falcor stack, while the experiment population leveraged the new GraphQL client and was directed to the GraphQL Shim. The Replay Tester tool samples raw traffic streams from Mantis.

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Rapid Event Notification System at Netflix

The Netflix TechBlog

By: Ankush Gulati , David Gevorkyan Additional credits: Michael Clark , Gokhan Ozer Intro Netflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title. This helps limit the outgoing traffic footprint considerably.

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Efficient SLO event integration powers successful AIOps

Dynatrace

For a more proactive approach and to gain further visibility, other SLOs focusing on performance can be implemented. For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information.

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TCP: Out of Memory — Consider Tuning TCP_Mem

DZone

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

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Kubernetes vs Docker: What’s the difference?

Dynatrace

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. What is Docker? Networking.