Remove Benchmarking Remove Code Remove Latency Remove Operating System
article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

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
article thumbnail

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

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.

article thumbnail

Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

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.

article thumbnail

Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. Doing extensive benchmarks will be the subject of a future blog post. Migration to RDS can be performed using Percona XtraBackup.

AWS 52
article thumbnail

SQL Server I/O Basics Chapter #1

SQL Server According to Bob

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. SQL Server always checks I/O completion status for any operating system error conditions and proper data transfer size and then handles errors appropriately. The data transfer size is not valid.

Servers 40
article thumbnail

SQL Server I/O Basics Chapter #2

SQL Server According to Bob

Subsystem / Path The ​​ I/O subsystem or path ​​ includes ​​ those ​​ components ​​ that are ​​ used to support an I/O operation. ​​ SQL Server ​​ copy-on-write actions are used to maintain snapshot databases in SQL Server 2005.

Servers 40