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Service level objectives: 5 SLOs to get started

Dynatrace

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This SLO enables a smooth and uninterrupted exercise-tracking experience.

Latency 182
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This SLO enables a smooth and uninterrupted exercise-tracking experience.

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

The Netflix TechBlog

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits.

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

Dynatrace

However, not all user monitoring systems are created equal. connectivity, access, user count, latency) of geographic regions. Synthetic monitoring is well suited for catching regressions during development lifecycles, especially with network throttling. What is real user monitoring? Synthetic monitoring drawbacks.

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

Scalegrid

A vast majority of the features are the same, outside of these advanced features available through the BYOC model: Virtual Private Clouds / Virtual Networks. Amazon Virtual Private Clouds (VPC) and Azure Virtual Networks (VNET) are private, isolated sections of the cloud infrastructure where you can launch resources. Expert Tip.

Cloud 242
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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. MezzFS can be configured to cache objects on the local disk. Regional caching? —?Netflix

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Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

sounds like a homework exercise of purely academic value. I've refuted many benchmarks by showing that they would require a network throughput that would far exceed the maximum network bandwidth (off by, for example, as much as 10x!). Networking is the easiest to check. This is really asking "what's the limiter?"