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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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What is cloud migration?

Dynatrace

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost.

Cloud 162
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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Existing data got updated to be backward compatible without impacting the existing running production traffic. Data Sharding strategy in elasticsearch is updated to provide low search latency (as described in blog post) Design of new Cassandra reverse indices to support different sets of queries.

Media 239
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. The next challenge was to stream large amounts of traces via a scalable data processing platform.

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What Is RabbitMQ: Key Features and Uses

Scalegrid

It employs the Advanced Message Queuing Protocol (AMQP) to provide reliable, scalable message passing, crucial for modern applications dealing with large-scale, complex data flows. Additionally, the low coupling between sender and receiver applications allows for greater flexibility and scalability in the system.

IoT 130
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Dynamic Content Vs. Static Content: What Are the Main Differences

IO River

Caching improves performance, reduces bandwidth usage, and enhances scalability by reducing the load on the origin server.Faster Loading Times: Static content is pre-generated and does not require server-side processing. This increased server load can strain server resources, especially during high-traffic periods.

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