Remove 2020 Remove Hardware Remove Servers Remove Speed
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

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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. Clone Disk],” - [link] 2020 - [Moore 20] Samuel K. Ford, et al., “TCP

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

article thumbnail

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. Clone Disk],” [link] , 2020 [Moore 20] Samuel K. Ford, et al., “TCP

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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This post was originally published in June 2020 and was updated in September 2023. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. An improperly configured server may not allocate sufficient resources or be optimized for the specific workload.

Tuning 52
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Why Testsigma for cloud automation testing?

Testsigma

Resources can be any element i.e., hardware, software, or infrastructure which are necessary to carry out tests. This is due to the fact that the cloud enables the provisioning of test servers on demand. This also ensures unused servers are not sitting idle. This feature can further speed up your test case execution.

Cloud 59
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. What Exactly is Greenplum? At a glance – TLDR. The Greenplum Architecture. Greenplum Architectural Design.

Big Data 321