Remove 2018 Remove Cache Remove Processing
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs). To harness this data effectively, we employ a process of interaction tokenization, ensuring meaningful events are identified and redundancies are minimized.

Tuning 165
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Stuff The Internet Says On Scalability For July 20th, 2018

High Scalability

That means multiple data indirections mean multiple cache misses. jaybo_nomad : The Allen Institute for Brain Science is in the process of imaging 1 cubic mm of mouse visual cortex using TEM at a resolution of 4nm per pixel. They are very expensive. This is where your performance goes. Some say MRAM will never work in automotive.

Internet 121
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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

This information is gathered from remote, often inaccessible points within your ecosystem and processed by some sort of tool or equipment. Traces are the act of following a process (for example, an API request or other system activity) from start to finish, showing how services connect. Monitoring begins here.

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Bringing Rich Experiences to Memory-constrained TV Devices

The Netflix TechBlog

Our UI runs on top of a custom rendering engine which uses what we call a “surface cache” to optimize our use of graphics memory. Surface Cache Surface cache is a reserved pool in main memory (or separate graphics memory on a minority of systems) that the Netflix app uses for storing textures (decoded images and cached resources).

Cache 167
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Some of DBLog’s features are: Processes captured log events in-order.

Database 221
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Some of DBLog’s features are: Processes captured log events in-order.

Database 206
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)