Remove Exercise Remove Processing Remove Traffic
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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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Service level objectives: 5 SLOs to get started

Dynatrace

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Latency 189
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Traffic 173
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

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. In this step, a pipeline picks our candidate change, deploys the service, makes it publicly discoverable, and redirects a small percentage of production traffic to this new service.

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

Dynatrace

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM, however, has some limitations, including the following: RUM requires traffic to be useful. Complex transaction and process monitoring that might have deeper dependencies.

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

Dynatrace

Here’s what we discussed so far: In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization. In doing so, they automate build processes to speed up delivery, and minimize human involvement to prevent error. Response time for blue/green environment traffic.

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