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

Brendan Gregg

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person!

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Netflix End of Series 1

Brendan Gregg

offer letter logo (2014). flame graphs (2014). eBPF tools (2014-2019). I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive [work culture]. Apart from developing tools, much of my time has been spent helping teams with performance issues and evaluations. PMC analysis (2017).

Java 145
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

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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.).

Systems 60
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Analyzing a High Rate of Paging

Brendan Gregg

A service team was debugging a performance issue and noticed it coincided with a high rate of paging. I was asked to help, and used a variety of performance tools to solve this including those that use eBPF and Ftrace. 1072-aws (xxx) 12/18/2018 _x86_64_ (16 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 5.03

Cache 105
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Three Other Models of Computer System Performance: Part 2

ACM Sigarch

The M/M/1 queue also assumes that the arrival rate is not affected by the unbounded number of tasks in the queue (called an “open system”). For the previous cache miss buffer example, the 32-buffer answer is minimal for 100-ns average miss latency. Figure 2 plots the M/M/1 queue’s latency-throughput trade-off.

Systems 53
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Netflix End of Series 1

Brendan Gregg

offer letter logo (2014) flame graphs (2014) eBPF tools (2014-2019) PMC analysis (2017) my pandemic-abandoned desk (2020); office wall I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive work culture. It was the most challenging job among those I interviewed for. Thank you.

Java 52