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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 233
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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

connectivity, access, user count, latency) of geographic regions. Synthetic monitoring is well suited for catching regressions during development lifecycles, especially with network throttling. The result is a more comprehensive and robust monitoring strategy that will have a longer-lasting impact on user performance and experience.

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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. Deploying your application and database on the same VPC also provides the lowest possible latency path. No problem.

Cloud 242
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Fixing a slow site iteratively

CSS - Tricks

With all of this in mind, I thought improving the speed of my own version of a slow site would be a fun exercise. In that spirit, what we’re looking at in this article is focused more on the incremental wins and less on providing an exhaustive list or checklist of performance strategies. Again, every millisecond counts. Lighthouse.

Cache 92
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Taiji: managing global user traffic for large-scale Internet services at the edge

The Morning Paper

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. For example, balance utilisation across all data centers, or optimise for network latency. SOSP’19.

Traffic 42
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Failure Modes and Continuous Resilience

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. A resilient system continues to operate successfully in the presence of failures.

Latency 52
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Failure Modes and Continuous Resilience

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. A resilient system continues to operate successfully in the presence of failures.

Latency 53