Percona

APRIL 6, 2023

PostgreSQL is a popular open source relational database management system many organizations use to store and manage their data. However, as the size of your database grows, it can become challenging to manage and optimize its performance. Two benchmarks from users can be found here: [1] [2] 4.

Cache 117

Cache Open Source Benchmarking Database 117

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 That’s a heritage of the LAMP model when the same server would host both the database and the web server. MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 138

Tuning Cache Servers Benchmarking 138

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

JULY 29, 2020

PgBouncer defines one pool per user+database combination. A client benefits from a pooled connection only if it connects to a child which has previously served a connection for this database+user combination. PgBouncer allows limiting connections per-pool, per-database, per-user or per-client. Throughput Benchmark.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

Speed Curve

FEBRUARY 5, 2024

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 57

Servers Cache Retail Benchmarking 57

The Morning Paper

MARCH 10, 2020

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., A typical backing store for a web application contains data for many users. The application makes queries on behalf of an authenticated user, but it is up to the application itself to make sure that the user only sees data they are entitled to see. HotOS’19.

Database 90

Database Cache Benchmarking Efficiency 90

n0derunner

JULY 23, 2019

Effect of removing CPU constraints and maintaining data locality on a running DB instance. In this video I migrate a Postgres DB running PGbench benchmark. As the DB continues to run on the new host – the Nutanix storage detects the access patterns and “localizes” the data that the DB is accessing.

Benchmarking 76

Benchmarking Storage Tuning Cache 76

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

MARCH 27, 2023

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. Results for Percona Server for MySQL 8.0

Cache 105

Cache Hardware Servers Benchmarking 105

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. TB)) for storage of database tablespaces and logging.

Performance 54

Performance Benchmarking Cache Storage 54

Percona

JULY 25, 2023

When a new node joins the cluster, SST is performed to receive the data from DONOR to the JOINER. JOINER uses PXB to stream the data directory from DONOR. Percona XtraBackup copies the InnoDB data files. Percona XtraBackup copies the InnoDB data files. ibd2sdi data/test/t1.ibd ibd > t1.sdi

Cache 89

Cache Benchmarking Servers Design 89

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

Performance 107

Performance Monitoring Traffic Database 107

Percona

SEPTEMBER 1, 2023

MySQL triggers are a powerful tool for database administrators and developers, enabling them to automate tasks, enforce data consistency, and respond to events within the database seamlessly. A Trigger in MySQL is a database object that plays a pivotal role in database management.

Cache 63

Cache Database Games Healthcare 63

Percona

AUGUST 31, 2018

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. It is important to pay attention to performance when writing database queries. PostgreSQL’s Tuneable Parameters. shared_buffer.

Tuning 58

Tuning Database Performance Benchmarking 58

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 102

Monitoring Scalability Cache Database 102

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way.

Performance 128

Performance Hardware Tuning Storage 128

SQL Performance

NOVEMBER 18, 2019

The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. The sizes offer you options for the number of vCPUs, RAM, and data disks. Benchmark Test.

Azure 76

Azure Benchmarking Storage Virtualization 76

HammerDB

NOVEMBER 5, 2018

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

The Morning Paper

AUGUST 29, 2019

There’s a broad set of choices including where you store the data, whether you run your own DBMS nodes or use a service, the kinds of instance types to go for if you do run your own, and so forth. We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems.

Architecture 76

Architecture Cloud Storage Serverless 76

Abhishek Tiwari

DECEMBER 13, 2017

Can machine learning-based data structures i.e. learned data structures replace traditional data structures? This is a question recently asked and explored by a team of Google researchers led by Jeff Dean with a major focus on database indexes. p = F(Key) ? Learned Bloom filters.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

MachMetrics

DECEMBER 14, 2019

By analyzing the data from Backlinko.com and their Page Speed Stats article, we’ll look to answer these questions: What size should be a website be? Unfortunately, the data from Backlinko paints a bleak picture when it comes to mobile internet browsing. It’s still a drain on the visitor’s device battery and data plan.

Best Practices 105

Best Practices Speed Mobile Google 105

KeyCDN

AUGUST 29, 2019

While these metrics can be very helpful it is also important to keep this data in perspective. Take these statistics from Google’s industry benchmarks for mobile page speed guide: We’ve said it before but it’s worth reiterating that as web page load times increase, so does the likelihood of your visitors. location ~*.(js|css|png|jpg|svg|jpeg|gif|ico)$

Google 103

Google Cache Speed Analytics 103

Percona

MARCH 20, 2023

When deciding what to pick, there are many things to consider, like where the proxy needs to be, if it “just” needs to redirect the connections, or if more features need to be in, like caching and filtering, or if it needs to be integrated with some MySQL embedded automation. Given that, there never was a single straight answer.

Games 124

Games Latency Traffic Cache 124

n0derunner

SEPTEMBER 17, 2018

Creating a HCI benchmark to simulate multi-tennent workloads. It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. It is the shared storage that often causes performance issues for data bases which are otherwise separated across nodes. Time based benchmark actions.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. ASPLOS’19. This model makes predictions at runtime based on real-time streaming trace inputs.

Big Data 45

Big Data Cloud Performance Hardware 45

Brendan Gregg

FEBRUARY 9, 2018

This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. This can turn a 1% overhead (syscall cycles alone) into a 7% overhead. In more detail: ## 1.

Performance 75

Performance Benchmarking Cache Tuning 75

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. 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. Converging Views.

Media 145

Media Games Education Engineering 145

SQL Performance

APRIL 8, 2019

The L3 cache size is 64MB. Both of these Intel processors are special bespoke models that are not in the Intel ARK database. I wrote about using CPU-Z to benchmark the Intel Xeon E5-2673 v3 processor in an Azure VM in this article. Figure 1: CPU-Z Benchmark Results for LS16v2. The L3 cache size is 64MB.

Azure 42

Azure Virtualization Storage Benchmarking 42

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. Consistency When completed, a transaction must leave all data in a consistent state.

Servers 40

Servers Cache Media Hardware 40

Brendan Gregg

FEBRUARY 8, 2018

This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. This can turn a 1% overhead (syscall cycles alone) into a 7% overhead. In more detail: ## 1.

Performance 40

Performance Benchmarking Cache Tuning 40

Smashing Magazine

JANUARY 6, 2020

It will help you build up a company-tailored case study with real data. Furthermore, using data from case studies and experiments published on WPO Stats will help increase sensitivity for business about why performance matters, and what impact it has on user experience and business metrics. Large preview ). Large preview ).

Performance 145

Performance Cache Network Metrics 145

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? KB boundary   12 Larger transaction logs   13 Restore and attach   14 Format for 4 ?KB

Servers 40

Servers Cache Database Media 40

SQL Performance

JULY 16, 2019

This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile. They will also have up to 256MB of L3 cache per processor. You might be asking why you should care about all of this as a SQL Server Database professional? Figure 2: AMD EPYC Rome Processor.

Servers 46

Servers Hardware Architecture Retail 46

SQL Server According to Bob

AUGUST 23, 2021

For example: A smaller sized, SQL Azure database , ​​ using 2 CPUs , ​​ could be assigned to CPU 2 and 3 on the host machine. MANUAL Applies To: SQL Azure Database & SQL Server Box Manual affinity is​​ also​​ termed hard affinity.

Servers 40

Servers Azure Operating System Database 40

High Scalability

NOVEMBER 25, 2019

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52