ScaleOut Software

MAY 15, 2014

Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers. One or more specified cache servers are unavailable, which could be caused by busy network or servers. …). Please retry later.

Cache 40

Cache Servers Network Design 40

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 55

Performance Benchmarking Cache Storage 55

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

Percona

AUGUST 31, 2018

The PostgreSQL buffer is called shared_buffer which is the most effective tunable parameter for most operating systems. This parameter sets how much dedicated memory will be used by PostgreSQL for cache. It’s low because certain machines and operating systems do not support higher values. wal_buffers.

Tuning 59

Tuning Database Performance Benchmarking 59

SQL Performance

DECEMBER 17, 2019

You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario. Microsoft's Mine Tokus has a good article where she ran a series of scaled down TPC-E benchmarks against an E64s_v3 VM that was using the older Broadwell processor. GHz, 128MB of L3 cache, 128 PCIe 4.0

Azure 72

Azure Virtualization Servers Storage 72

Percona

MAY 1, 2023

Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies. PostgreSQL performance optimization is an ongoing process involving monitoring, benchmarking, and adjustments to maintain high-performing PostgreSQL databases.

Tuning 52

Tuning Database Efficiency Performance 52

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

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

AUGUST 23, 2021

MANUAL affinity provides the best, top end performance​​ (for benchmarks by utilizing L1 caches)​​ but is susceptible to noisy, CPU neighbors. Allowing the Operating System ​​ to schedule the worker on alternate CPUs can eliminate the impact of a noisy neighbor.

Servers 40

Servers Azure Operating System Database 40

Smashing Magazine

JUNE 2, 2021

Today, the website is much faster and ranks highly in various showcases and benchmarks. And while you can usually cache the full page of an article, the same is not true of many shop pages and elements. This way, the file can be cached on the server and in the browser, and no superfluous SVGs will need to be interpreted.

Performance 118

Performance Cache Website Mobile 118

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. We employ large scale data filtering algorithms to let large clusters of clients synchronize with Cloud File System. Disk based caching. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52