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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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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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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.

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Our Once and Future Wisdom: Re-acquiring Lost Institutional Knowledge

The Agile Manager

There aren't a lot of high cards we can draw, but playing them in the right combination offers us a strategy. For example, ghost code - code that is not commented out but will conditionally never be executed - is likely to be confused for real code in a reverse-engineering exercise.

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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. Depending on the vendor or technology you work with, you may not be able to integrate existing tools with scripts for your tests.

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

The Dynamo paper was well-received and served as a catalyst to create the category of distributed database technologies commonly known today as "NoSQL." " Of course, no technology change happens in isolation, and at the same time NoSQL was evolving, so was cloud computing.

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