Remove Cache Remove Hardware Remove Testing
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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. CFS is widely used and therefore well tested and Linux machines around the world run with reasonable performance.

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Kubernetes in the wild report 2023

Dynatrace

On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase.

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Impact of Querying Table Information From information_schema

Percona

A lot of useful information can be retrieved from this schema, for example, table metadata and foreign key relations, but trying to query I_S can induce performance degradation if your server is under heavy load, as shown in the following example test. The same tests have been executed in Percona Server for MySQL 5.7

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Six things that slow down your site's UX (and why you have no control over them)

Speed Curve

Your synthetic testing tool shows you how your pages perform in a clean lab environment, using variables – such as browser, connection type, even CPU power – that you've selected. For a myriad of reasons, older hardware can't always accommodate faster speeds. Most people use the same hardware for between five to ten years.

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Software Testing Errors to look out for (with examples)

Testsigma

These are the errors that also need attention during the testing phase. We can divide the errors during software development into two sections for easy understanding: Software errors Testing errors. These errors are caught during software documentation testing. Hardware error. Testing errors. Software errors.

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InnoDB Performance Optimization Basics

Percona

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. I hope this helps!