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How To Design For High-Traffic Events And Prevent Your Website From Crashing

Smashing Magazine

How To Design For High-Traffic Events And Prevent Your Website From Crashing How To Design For High-Traffic Events And Prevent Your Website From Crashing Saad Khan 2025-01-07T14:00:00+00:00 2025-01-07T22:04:48+00:00 This article is sponsored by Cloudways Product launches and sales typically attract large volumes of traffic.

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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. 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.

Systems 334
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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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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

For example, if you’re monitoring network traffic and the average over the past 7 days is 500 Mbps, the threshold will adapt to this baseline. An anomaly will be identified if traffic suddenly drops below 200 Mbps or above 800 Mbps, helping you identify unusual spikes or drops.

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Mastering Scalability and Performance: A Deep Dive Into Azure Load Balancing Options

DZone

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability. Each of these services addresses specific use cases, offering diverse functionalities to meet the demands of modern applications.

Azure 287
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

The complexity of these operational demands underscored the urgent need for a scalable solution. Using the source of truth: Logs serve as a reliable source of truth by providing a comprehensive record of system events. To detect issues proactively, we need to simulate traffic and predict system behavior in advance.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is RabbitMQ?

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