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

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. It's an important vendor-neutral space to share the latest in technology.

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

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. It was a great privilege. Ford, et al., “TCP

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Jamstack CMS: The Past, The Present and The Future

Smashing Magazine

Fast-forward 30 years, and website technology has changed significantly — we have images, stylesheets, JavaScript, streaming video, AJAX, animation, WebSockets, WebGL, rounded corners in CSS — the list goes on. In 2012, Dave Cole published a post on How we build CMS free websites. Now you could use GitHub as your CMS.

Ecommerce 139
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AppFabric Caching: Retry Later

ScaleOut Software

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. During load-balancing, the client gets the following exception when accessing the cache: ErrorCode<ERRCA0017>:SubStatus<ES0006>:There is a temporary failure. Please retry later.

Cache 40
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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively. low-end Androids have finally caught up to the iPhone 5 from 2012. The Moto G4 , for example.

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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

For streaming technology, Netflix utilizes a variety of options such as Kafka, SQS, Kinesis, and even Netflix specific streaming solutions such as Keystone. This way, log event processing can resume event-by-event afterwards, eventually discovering the watermarks, without ever needing to cache log event entries. All aboard the Databus!:

Database 197
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

For streaming technology, Netflix utilizes a variety of options such as Kafka, SQS, Kinesis, and even Netflix specific streaming solutions such as Keystone. This way, log event processing can resume event-by-event afterwards, eventually discovering the watermarks, without ever needing to cache log event entries. All aboard the Databus!:

Database 212