Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers.

Monitoring 117

Monitoring Scalability Database Cache 117

Particular Software

SEPTEMBER 20, 2021

It’s less of an apples-to-oranges comparison and more like apples-to-orange-sherbet. Why RPC is “faster” It’s tempting to simply write a micro-benchmark test where we issue 1000 requests to a server over HTTP and then repeat the same test with asynchronous messages. But the answer isn’t that simple. Messaging doesn’t do that.

Benchmarking 97

Benchmarking Latency Servers Systems 97

Percona

APRIL 7, 2023

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 145

Tuning Cache Servers Benchmarking 145

The Morning Paper

AUGUST 29, 2019

use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Key findings. System initialisation time.

Architecture 76

Architecture Cloud Storage Serverless 76

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Percona

JANUARY 19, 2023

It can help us to save costs on storage and backup times. sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> INSERT INTO employees_compressed SELECT * FROM employees; Size comparison: [user1] percona@db1: ~ $ sudo ls -lh /var/lib/mysql/employees/|grep employees -rw-r --. 1 mysql mysql 704M Dec 30 02:28 employees.ibd -rw-r --.

Open Source 111

Open Source Storage Database Big Data 111

The Morning Paper

JUNE 16, 2019

If we do that naively though, we’re going to end up with a lot of universes to store and maintain and the storage requirements alone will be prohibitive. A Piazza-style class forum discussion application with 1M posts, 1,000 classes, and a privacy policy allowing TAs to see anonymous posts is used as the basis for benchmarking.

Database 90

Database Cache Benchmarking Efficiency 90

Percona

DECEMBER 20, 2018

I found the comparison of InnoDB vs. MyISAM quite interesting, and I’ll use it in this post. As the MyRocks storage engine (based on the RocksDB key-value store [link] ) is now available as part of Percona Server for MySQL 5.7 , I wanted to take a look at how it performs on a relatively high-end server and SSD storage.

Database 53

Database Tuning Performance AWS 53

SQL Performance

AUGUST 27, 2019

The initial reviews and benchmarks for these processors have been very impressive: AMD EPYC 7002 Series Rome Delivers a Knockout. AMD Rome Second Generation EPYC Review: 2x 64-core Benchmarked. TPC-H Benchmark Results with SQL Server 2017. TPC-E Benchmark Results with SQL Server 2017. In this case, 6,716.88/64

Servers 52

Servers Benchmarking Virtualization Architecture 52

Alex Russell

APRIL 29, 2021

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. With each team, benchmarks lost are understood as bugs. Chrome has missed several APIs for 3+ years: Storage Access API.

Media 145

Media Games Education Engineering 145

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. It was tempting to write this blog post as a feature comparison between AppFabric and SOSS. Testing Scale-Up Performance. In Summary: Design for Ease of Use and High Performance.

Cache 40

Cache Servers Network Design 40

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . This is to be expected and is due to the limitations of the scalability of the storage engine.

Best Practices 40

Best Practices Scalability Performance C++ 40

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

Alternatively, you can also use: Addy Osmani’s Chrome UX Report Compare Tool , Speed Scorecard (also provides a revenue impact estimator), Real User Experience Test Comparison or SiteSpeed CI (based on synthetic testing). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. compared to early 2015.

Performance 145

Performance Cache Metrics Media 145

Smashing Magazine

JANUARY 6, 2020

Alternatively, you can also use Speed Scorecard (also provides a revenue impact estimator), Real User Experience Test Comparison or SiteSpeed CI (based on synthetic testing). Paddy Ganti’s script constructs two URLs (one normal and one blocking the ads), prompts the generation of a video comparison via WebPageTest and reports a delta.

Performance 112

Performance Cache Servers Network 112