Benchmarking Example Hardware Systems 
The Morning Paper
MAY 12, 2019
An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Systems built with lots of microservices have different operational characteristics to those built from a small number of monoliths, we’d like to study and better understand those differences.
HammerDB
OCTOBER 23, 2023
HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. 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.
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HammerDB
OCTOBER 18, 2019
HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks . uname -a Linux ubuntu19 5.3.0-rc3-custom
Scalegrid
JANUARY 25, 2024
Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. It depends upon your application workload and its business logic.
HammerDB
JANUARY 5, 2019
Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”
Brendan Gregg
MARCH 16, 2024
The problem is that this system has a default libc that has been compiled without frame pointers, so any stack walking stops at the libc layer, producing a partial stack that's missing the application frames. These partial stacks get grouped together on the left. Click here for a longer explanation. You usually get an extra junk frame.
The Morning Paper
JUNE 27, 2019
Machine learning systems are stuck in a rut Barham & Isard, HotOS’19. In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. Take a simple example: it would be really nice if we could have named dimensions instead of always having to work with indices.
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