Availability, Benchmarking, Cache and Tuning - Technology Performance Pulse

PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

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

Tuning Efficiency Database Performance

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

JANUARY 25, 2024

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics

Metrics Monitoring Latency Cache

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

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

Tuning Database Performance Hardware

The Most Important MySQL Setting

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. Why is that?

Tuning

Tuning Cache Servers Benchmarking

The evolution of single-core bandwidth in multicore processors

John McCalpin

APRIL 25, 2023

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.

Benchmarking

Benchmarking Cache Latency Tuning

Tuning PostgreSQL Database Parameters to Optimize Performance

Percona

AUGUST 31, 2018

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. This parameter sets how much dedicated memory will be used by PostgreSQL for cache. wal_buffers.

Tuning

Tuning Database Performance Benchmarking

Impact of Querying Table Information From information_schema

Percona

MARCH 27, 2023

Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. having to open each table.frm (and in which my test runs, I have purposely read a very high number of tables compared to “Table-open-cache” variable). Results for Percona Server for MySQL 8.0 While you are on 5.7,

Cache

Cache Hardware Servers Benchmarking

InnoDB Performance Optimization Basics

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Benchmark before you decide. Typically a good value is 70%-80% of available memory. If you see concurrency issues, you can tune this variable.

Performance

Performance Hardware Tuning Storage

KPTI/KAISER Meltdown Initial Performance Regressions

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

Performance Benchmarking Cache Tuning

KPTI/KAISER Meltdown Initial Performance Regressions

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

Performance Benchmarking Cache Tuning

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

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

Architecture Cache Azure Storage

SQL Server I/O Basics Chapter #1

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

Servers Cache Media Hardware

Performance tips for building responsive sites

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

Performance Mobile Website Benchmarking