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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.

Traffic 349
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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.

Traffic 351
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Efficient SLO event integration powers successful AIOps

Dynatrace

However, it’s essential to exercise caution: Limit the quantity of SLOs while ensuring they are well-defined and aligned with business and functional objectives. 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.

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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

In this post, we compare ScaleGrid’s Bring Your Own Cloud (BYOC) plan vs. the standard Dedicated Hosting model to help you determine the best strategy for your MySQL, PostgreSQL, Redis™ and MongoDB® database deployment. This can result in significant cost savings for high traffic applications. SSH Access to Machine. No problem.

Cloud 242
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. Functional Testing Functional testing was the most straightforward of them all: a set of tests alongside each path exercised it against the old and new endpoints.

Latency 243
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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

RUM, however, has some limitations, including the following: RUM requires traffic to be useful. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. Real user monitoring limitations. RUM is ideally suited to provide real metrics from real users navigating a site or application.

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Build automated self-healing systems with xMatters and Dynatrace (Part 3 of 3)

Dynatrace

One of the several deployment strategies is the blue/green deployment approach: In this method, two identical production environments work in parallel. One is the currently-running production environment receiving all user traffic (let’s say the “blue” one), the other is a clone of it (“green”), but idle.

Systems 27