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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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How HubSpot Uses Apache Kafka Swimlanes for Timely Processing of Workflow Actions

InfoQ

HubSpot adopted routing messages over multiple Kafka topics (called swimlanes) for the same producer to avoid the build-up in the consumer group lag and prioritize the processing of real-time traffic. By Rafal Gancarz

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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here. New content or national events may drive brief spikes, but, by and large, traffic is usually smoothly increasing or decreasing.

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Process more with less using smarter cluster overload prevention for Dynatrace Managed

Dynatrace

Turnkey cluster overload protection with adaptive traffic management and control. By vastly increasing the number of PurePaths that are processed by a Dynatrace Managed cluster, your initial sizing considerations for Dynatrace Managed nodes and clusters may however end up being inadequate for supporting such volume.

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Image Processing Insights

KeyCDN

KeyCDN has significantly simplified the way images are transformed and delivered with our Image Processing service. Our Image Processing service makes it easy to do that. Our Image Processing service will automatically optimize the image quality and reduce the size of the image if no query string is provided.

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Istio Explained: Unlocking the Power of Service Mesh in Microservices

DZone

This article delves deep into the essence of Istio, illustrating its pivotal role in a Kubernetes (KIND) based environment, and guides you through a Helm-based installation process, ensuring a comprehensive understanding of Istio's capabilities and its impact on microservices architecture.

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Automate CI/CD pipelines with Dynatrace: Part 2, Deploy stage

Dynatrace

Even when the staging environment closely mirrors the production environment, achieving a complete replication of all potential scenarios, such as simulating extremely high traffic volumes to assess software performance, remains challenging. This can lead to a lack of insight into how the code will behave when exposed to heavy traffic.

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