Brendan Gregg

MAY 8, 2021

People often tell me they don't understand performance tool output because they can't tell what's "good" or "bad." It can be hard as performance is subjective. I recently encountered terrible disk performance and thought it'd be useful to collect Linux tool screenshots and share them for reference. I could hear it spin faster.

Performance 142

Performance Latency Speed Systems 142

Brendan Gregg

MAY 8, 2021

People often tell me they don't understand performance tool output because they can't tell what's "good" or "bad." It can be hard as performance is subjective. I recently encountered terrible disk performance and thought it'd be useful to collect Linux tool screenshots and share them for reference. I could hear it spin faster.

Performance 40

Performance Latency Speed Systems 40

Brendan Gregg

MAY 8, 2021

People often tell me they don't understand performance tool output because they can't tell what's "good" or "bad." It can be hard as performance is subjective. I recently encountered terrible disk performance and thought it'd be useful to collect Linux tool screenshots and share them for reference. I could hear it spin faster.

Performance 40

Performance Latency Speed Systems 40

Percona

OCTOBER 2, 2023

Percona Toolkit is a collection of advanced open source command-line tools, developed and used by the Percona technical staff, that are engineered to perform a variety of MySQL, MariaDB, MongoDB, and PostgreSQL server and system tasks that are too difficult or complex to perform manually. pt-summary --user=root [?2004l#

Cache 101

Cache Database Virtualization Servers 101

Percona

AUGUST 29, 2018

For optimum performance, a PostgreSQL database depends on the operating system parameters being defined correctly. Poorly configured OS kernel parameters can cause degradation in database server performance. PostgreSQL uses System V (SysV) that requires SHMMAX setting. SHMMAX / SHMALL. Until version 9.2,

Tuning 57

Tuning Database Servers Processing 57

Percona

AUGUST 29, 2023

Reference tables can be replicated to all nodes for joins and foreign keys from distributed tables and for maximum read performance. Columnar storage of tables can compress data, speeding up scans and supporting fast projections, both on regular and distributed tables. The same can be said for Citus data sharding. 1 citus | 11.1-1

C++ 81

C++ Database Storage Testing 81

SQL Server According to Bob

JANUARY 11, 2020

​​ Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation.

Servers 40

Servers Cache Database Media 40