Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130

Metrics Monitoring Latency Cache 130

John McCalpin

APRIL 25, 2023

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., GHz, 1530 GB/s peak BW from 6 HBM stacks), I see single-thread sustained memory bandwidth of 304 GB/s on the ReadOnly benchmark used here.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Percona

MARCH 23, 2023

Nowadays, solid-state drives (SSDs) or non-volatile memory express (NVMe) drives are preferred over traditional hard disk drives (HDDs) for database servers due to their faster read and write speeds, lower latency, and improved reliability. Operating system Linux is the most common operating system for high-performance MySQL servers.

Performance 144

Performance Hardware Tuning Storage 144

John McCalpin

APRIL 2, 2020

All of the SPECfp_rate2000 results were downloaded from www.spec.org, the results were sorted by processor type, and “peak floating-point operations per cycle” was manually added for each processor type. This includes all architectures, all compilers, all operating systems, and all system configurations.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

Scalegrid

JANUARY 12, 2024

Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems. Additionally, the platform continuously monitors data through benchmarking functionalities providing valuable insights through its data analytics tools.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Adrian Cockcroft

JANUARY 20, 2023

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity. petaflops, which is 0.8% of peak capacity.

Architecture 52

Architecture Latency Benchmarking AWS 52