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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.

Traffic 342
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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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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Migration Testing Infrastructure Our monolith had been around for many years and hadn’t been created with functional and unit testing in mind, so those were independently bolted on by each UI team. For the migration, testing was a first-class citizen. Replay Testing Enter replay testing.

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

Scalegrid

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This can result in significant cost savings for high traffic applications. Expert Tip.

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50 ways to leak your data: an exploration of apps’ circumvention of the Android permissions system

The Morning Paper

There are four main parts to the story here: The testing environment that runs apps in a ‘honeypot’ and figures out which of those apps are leaking data they don’t have permission to obtain. The test mobile phones run an instrumented version of Android Marshmallow, on top of a custom Linux kernel which records all file I/O. most apps).

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Service level objectives: 5 SLOs to get started

Dynatrace

Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience. The traffic SLO targets the website’s ability to handle a high volume of transactional activity during periods of high demand.

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