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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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How To Add eBPF Observability To Your Product

Brendan Gregg

biolatency Disk I/O latency histogram heat map. cachestat File system cache statistics line charts. runqlat CPU scheduler latency heat map. Here are the top ten tools you can run and present as a generic BPF observability dashboard, along with suggested visualizations: Tool Shows Visualization. opensnoop Files opened table.

Latency 145
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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 fastest Androids predictably remain 18-24 months behind, owing to cheapskate choices about cache sizing by Qualcomm, Samsung Semi, and all the rest. The Moto G4 , for example.

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Front-End Performance Checklist 2021

Smashing Magazine

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. compared to early 2015. Large preview ). Shipped in Next.js

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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.

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.

Database 212