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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. By the summer of 2020, many UI engineers were ready to move to GraphQL. This helped us successfully migrate 100% of the traffic on the mobile homepage canvas to GraphQL in 6 months.

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Efficient SLO event integration powers successful AIOps

Dynatrace

This blog post is for both novice and seasoned audiences alike. The first part of this blog post briefly explores the integration of SLO events with AI. For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. What characterizes a weak SLO?

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Rapid Event Notification System at Netflix

The Netflix TechBlog

In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way. Personalized Experience Refresh Netflix Recommendation engine continuously refreshes recommendations for every member. This helps limit the outgoing traffic footprint considerably.

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Telltale: Netflix Application Monitoring Simplified

The Netflix TechBlog

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Over the years we’ve learned from on-call engineers about the pain points of application monitoring: too many alerts, too many dashboards to scroll through, and too much configuration and maintenance. Regional traffic evacuations.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. A comprehensive list of benefits offered by Cosmos can be found in the linked blog. divide the input video into small chunks 2.

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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. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices. What is Docker? Networking.