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

Brendan Gregg

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Charlie Vazac introduced server timing in a Performance Calendar post circa 2018. Caching the base page/HTML is common, and it should have a positive impact on backend times. Key things to understand from your CDN Cache Hit/Cache Miss – Was the resource served from the edge, or did the request have to go to origin?

Servers 57
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Analyzing a High Rate of Paging

Brendan Gregg

1072-aws (xxx) 12/18/2018 _x86_64_ (16 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 5.03 avg-cpu: %user %nice %system %iowait %steal %idle 14.81 avg-cpu: %user %nice %system %iowait %steal %idle 14.86 avg-cpu: %user %nice %system %iowait %steal %idle 14.95 Counting cache functions. 17 48011 [.].

Cache 105
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Three Other Models of Computer System Performance: Part 1

ACM Sigarch

Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. Developing simulators, however, is time-consuming and requires a great deal of infrastructure development regarding a prospective system. Answered in Part 2.). Bottleneck Analysis.

Systems 60
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

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Three Other Models of Computer System Performance: Part 2

ACM Sigarch

How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Can one both minimize latency and maximize throughput for unscheduled work? The M/M/1 queue will show us a required trade-off among (a) allowing unscheduled task arrivals, (b) minimizing latency, and (c) maximizing throughput.

Systems 53
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A thorough introduction to bpftrace

Brendan Gregg

For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. For smaller environments, it can be of more use helping eliminate latency outliers. system(".") Block I/O latency as a histogram. 6 * 7 * Copyright 2018 Netflix, Inc.

Latency 68