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Effective Concurrency: Live online course in April

Sutter's Mill

I generally give one or two courses a year on C++ and related technologies. Because “high-performance low-latency” is kind of C++’s bailiwick, and because it’s my course, you’ll be unsurprised to learn that the topics and code focus on C++ and include coverage of modern C++17/20/23 features.

C++ 40
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Why you should benchmark your database using stored procedures

HammerDB

HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. Additionally, reviewing official TPC-C full disclosure reports highlighted that all vendors also use stored procedures.

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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

When serving and storing files on the web, there are a number of different things we need to take into consideration in order to balance ergonomics, performance, and effectiveness. Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. It gets worse.

Cache 291
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bpftrace (DTrace 2.0) for Linux 2018

Brendan Gregg

Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. Here's a comparison for an average-sized DTraceToolkit script (seeksize.d) Attaching 2 probes. ^C variable curthread curtask.

C++ 110
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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Key findings.

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bpftrace (DTrace 2.0) for Linux 2018

Brendan Gregg

Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. Here's a comparison for an average-sized DTraceToolkit script (seeksize.d) Attaching 2 probes. ^C variable curthread curtask.

C++ 40
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Fixing Performance Regressions Before they Happen

The Netflix TechBlog

To that end, it’s important that we prevent significant performance regressions from reaching the production app. Any performance regression that makes it into a product release will degrade user experience, so the challenge is to detect and fix such regressions before they ship. What do we mean by Performance?