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The Importance of Selecting the Proper Azure VM Size

SQL Performance

The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. GPU – Heavy graphic rendering and video editing. Benchmark Test. Conclusion.

Azure 76
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Investigating a video streaming failure consists of inspecting all aspects of a member account. In 2019 our stunning colleagues in the Cloud Database Engineering (CDE) team benchmarked EBS performance for our use case and migrated existing clusters to use EBS Elastic volumes.

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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Detect a regression in a test case.

Testing 163
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Speed Matters talk at Auckland Web Dev Nights

Speed Curve

An overview of tools for measuring performance, uptime monitoring, real user monitoring and performance benchmarking. Competitive Benchmarking SpeedCurve. Real User Monitoring (RUM) Pingdom New Relic (also backend, database and server health monitoring) Google Analytics mPulse. How to make your website faster.

Speed 40
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40+ Best Web Development Blogs of 2018

KeyCDN

Its videos and blog articles address issues such as web performance, extensible component development and the intersection of CSS with other technologies, like HTML and JavaScript. It also has a helpful element index that’s worth investigating in and of itself. Visit website 3. Visit website 14. Visit website 19. Visit website 20.

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Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Video Transcoding. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. We already use the public cloud to autoscale some async processing like Video Transcoding, text extraction, data migration, Search, etc. Document store.