Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 110

Availability Database Open Source Hardware 110

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used.

Performance 54

Performance Benchmarking Cache Storage 54

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Percona

JUNE 22, 2023

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 106

Performance Monitoring Traffic Database 106

Percona

AUGUST 22, 2023

We’ll wrap it up by suggesting high availability open source solutions, and we’ll introduce you to support options for ensuring continuous high performance from your systems. Connection management — This is the software management related specifically to the networking and connectivity aspect of the database.

Availability 80

Availability Hardware Open Source Database 80

Percona

JANUARY 19, 2023

It can help us to save costs on storage and backup times. While MySQL can handle large data sets, it is always recommended to keep only the used data in the databases, as this will make data access more efficient, and also will help to save costs on storage and backups. 1 mysql mysql 704M Dec 30 02:28 employees.ibd -rw-r --.

Open Source 90

Open Source Storage Database Big Data 90

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Benchmarks xtrabackup –prepare on backup directory of other sizes like 10K, 50K, 100K, and 250K tables. This search tuple (key) is used to find the record to perform the undo operation.

Cache 87

Cache Benchmarking Servers Design 87

Percona

JANUARY 24, 2023

This is not a problem for PostgreSQL alone; every database software needs to deal with this problem. Configured checkpoint frequency, the chance of checkpoints triggered by WAL generation, storage performance, acceptable CPU overhead, type of CPU architecture, and many other factors.

Database 118

Database Benchmarking Open Source Latency 118

HammerDB

DECEMBER 5, 2020

Additionally both commercial and open source tools based on the specifications also continued to use TPC-C and TPC-H to describe these workloads. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. But why is this important?

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. It also supports auto-scaling of compute and storage resources, dynamically adjusting capacity based on chosen utilization thresholds to optimize performance and costs.

AWS 52

AWS Database Serverless Storage 52

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. Wednesday?—?December

AWS 37

AWS Entertainment Open Source Benchmarking 37

Percona

DECEMBER 20, 2018

With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies. Fsync Performance on Storage Devices. And making lists. Interested?

Database 40

Database Tuning Performance AWS 40

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. We use Spinnaker to deploy instances and host the API containers on Titus ?—?which

Testing 163

Testing AWS Lambda Network 163

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. For a macro-benchmark PostgreSQL’s initdb tool was used. slower to 9.8% faster for system calls).

C++ 61

C++ Hardware Virtualization Benchmarking 61

Abhishek Tiwari

DECEMBER 27, 2017

Over last few years, we have seen several attempts to run data workload in the containers especially distributed big data frameworks like Apache Hadoop, Apache Storm [3] , and Apache Spark [4] [5] without any software modifications. faster access to external storage and data locality (I/O, bandwidth). Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

AUGUST 30, 2018

Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench. The illustrations below are taken from Percona Monitoring and Management (PMM) while running this benchmark. Analyzing read/write workload by counts. More resources that you might enjoy.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

Alex Russell

APRIL 29, 2021

Apple Corporate is at fault, not Open Source engineers or the line managers who support them. As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. So is speedy resolution and agreement.

Media 145

Media Games Education Engineering 145

O'Reilly

JULY 25, 2023

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. or “ha look how incompetent it is … it couldn’t even get my simple question right!” And ChatGPT didn’t warn me about this.

Programming 98

Programming Code Design Benchmarking 98

Smashing Magazine

JANUARY 6, 2020

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. In 2015, Google introduced Brotli , a new open-source lossless data format, which is now supported in all modern browsers.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. In 2015, Google introduced Brotli , a new open-source lossless data format, which is now supported in all modern browsers.

Performance 145

Performance Cache Media Metrics 145