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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. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

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

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. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

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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.

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Interpreting A/B test results: false negatives and power

The Netflix TechBlog

Subsequent posts will go into more details on experimentation across Netflix, how Netflix has invested in infrastructure to support and scale experimentation, and the importance of the culture of experimentation within Netflix. In this post, we’ll do the same for false negatives and the related concept of statistical power.

Testing 202
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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Are you comfortable setting up your own cloud infrastructure through AWS or Azure? Amazon Virtual Private Clouds (VPC) and Azure Virtual Networks (VNET) are private, isolated sections of the cloud infrastructure where you can launch resources. Do you want to deploy in an AWS VPC or Azure VNET? Expert Tip. No problem.

Cloud 242
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Automating chaos experiments in production

The Morning Paper

In this type of environment, there are many potential sources of failure, stemming from the infrastructure itself (e.g. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors). On error rates.

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

The Morning Paper

Taiji’s routing table is a materialized representation of how user traffic at various edge nodes ought to be distributed over available data centers to balance data center utilization and minimize latency. This outcome at our deployment scale means a reduction of our infrastructure footprint by more than one data center.

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