Remove Exercise Remove Infrastructure Remove Processing Remove Traffic
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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. 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.

Traffic 349
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

The big difference from the monolith, though, is that this is now a standalone service deployed as a separate “application” (service) in our cloud infrastructure. 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 241
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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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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 173
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Listen

The Agile Manager

These can be useful exercises, certainly to the business leaders who’ve got to find their customers or compete against rivals with slimmed down cost structures. Oracle provides the cloud infrastructure that Zoom operates on. These are less useful. The Big Questions are too big.

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Taiji: managing global user traffic for large-scale Internet services at the edge

The Morning Paper

Taiji: managing global user traffic for large-scale internet services at the edge Xu et al., It’s another networking paper to close out the week (and our coverage of SOSP’19), but whereas Snap looked at traffic routing within the datacenter, Taiji is concerned with routing traffic from the edge to a datacenter. SOSP’19.

Traffic 42
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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.