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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
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Update of our SSO services incident

Dynatrace

These include improving API traffic management and caching mechanisms to reduce server and network load, optimizing database queries, and adding additional compute resources, just to name some. This includes email, a phone number (or click-to-talk), and even social media such as Twitter. Hopefully never.) This has been completed.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

It provides a good read on the availability and latency ranges under different production conditions. For instance, envision a response payload that delivers media streams for a playback session. The service responsible for generating this payload consults a metadata service that provides all available streams for the given title.

Traffic 339
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How It Works (It Just Runs Faster): Non-Volatile Memory SQL Server Tail Of Log Caching on NVDIMM

SQL Server According to Bob

Note: We received feedback that there was some confusion on us calling this functionality “tail of the log caching” because our documentation and prior history has referred to the tail of the log as the portion of the hardened log that has not been backed up. Tail Of Log Caching. What does it mean to go faster?

Cache 40
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The Fastest Google Fonts

CSS Wizardry

It’s widely accepted that self-hosted fonts are the fastest option: same origin means reduced network negotiation, predictable URLs mean we can preload , self-hosted means we can set our own cache-control. This is the danger of the print media hack. That said, the convenience of a service like Google Fonts cannot be overstated.

Google 364
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ChatGPT vs. MySQL DBA Challenge

Percona

ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. Since your dataset is 100 GB and you have 500 GB of RAM, you can allocate a significant portion of the available memory to the InnoDB buffer pool. So this answer was inaccurate and evasive.

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Laravel For Healthcare App Development: Why So Obvious?

Tech News Gather

With quality healthcare app development , patients as well as healthcare service providers have the chance to avail a more streamlined and faster service on-demand. While many technologies and tools are available for healthcare application development, Laravel is the frontrunner according to tech experts.