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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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Black Friday traffic exposes gaps in observability strategies

Dynatrace

What’s the problem with Black Friday traffic? But that’s difficult when Black Friday traffic brings overwhelming and unpredictable peak loads to retailer websites and exposes the weakest points in a company’s infrastructure, threatening application performance and user experience. Why Black Friday traffic threatens customer experience.

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AI-powered DNS request tracking extends infrastructure observability for high quality network traffic

Dynatrace

To extend Dynatrace diagnostic visibility into network traffic, we’ve added out-of-the-box DNS request tracking to our infrastructure monitoring capabilities. While our competitors only provide generic traffic monitoring without artificial intelligence, Dynatrace automatically analyzes DNS-related anomalies.

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

Dynatrace

In the previous installment of this blog series , we explored how to set up Dynatrace as a build-stage orchestrator to effectively address the challenges faced by Site Reliability Engineers (SREs). This can lead to a lack of insight into how the code will behave when exposed to heavy traffic. What’s next?

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Demystifying Kuma Service Mesh

DZone

Under a heavy load, the application could break if the traffic routing, load balancing, etc., In this blog post, we will discuss the open-source service mesh Kuma, its architecture, and its easy-to-implement policies like traffic control, metrics, circuit breaking, etc. were not optimized.

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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. When the SLO status converges to an optimal value of 100%, and there’s substantial traffic (calls/min), BurnRate becomes more relevant for anomaly detection.