Percona

MAY 1, 2023

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52

Tuning Database Efficiency Performance 52

Brendan Gregg

JUNE 30, 2018

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. These have inspired me to summarize another performance activity: evaluating benchmark accuracy. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 47

Benchmarking Latency Cache Network 47

n0derunner

JULY 23, 2019

In this video I migrate a Postgres DB running PGbench benchmark. The variation in the transaction rate is due to the benchmark itself, the transaction rate is not expected to be uniform. Many different queries are executing in parallel, some hitting RAM cache, some hitting storage.

Benchmarking 76

Benchmarking Storage Cache Tuning 76

n0derunner

JUNE 28, 2019

pgbench with DB size 50% of Linux buffer cache. I had to tune the parameter checkpoint_completion_target from 0.5 default pgbench – notice the sharp drop in log-writes before tuning. The post Benchmarking with Postgres PT2 appeared first on n0derunner.

Benchmarking 40

Benchmarking Tuning Cache Database 40

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

Brendan Gregg

JUNE 29, 2018

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. These have inspired me to summarize another performance activity: evaluating benchmark accuracy. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 40

Benchmarking Latency Cache Network 40

Brendan Gregg

FEBRUARY 9, 2018

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Much of my testing was on Linux 4.14.11

Performance 72

Performance Benchmarking Cache Tuning 72

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

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . To illustrate the data reads on Oracle we can flush the buffer cache. Consequently we now need to increase the buffer cache in size if we are to see more CPU activity. so what are your options?

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Brendan Gregg

FEBRUARY 8, 2018

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Much of my testing was on Linux 4.14.11

Performance 40

Performance Benchmarking Cache Tuning 40

Speed Curve

DECEMBER 25, 2013

Source: Guy Podjarny However, we do now have a full set of techniques to effectively deliver highly performative sites that not only visually scale across devices but also deliver code and assets tuned to the width of a device. All CMS's should be offering this level of image manipulation and caching.

Performance 60

Performance Mobile Website Benchmarking 60

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

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 use different types of caching techniques depending on the problem statements. Disk based caching. Hybrid Sync. On prem data processing. Offline access.

Architecture 52

Architecture Cache Azure Storage 52