The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

Database 90

Database Cache Benchmarking Efficiency 90

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 130

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 79

Tuning Database Performance Benchmarking 79

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

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 124

Cache Hardware Servers Benchmarking 124

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 136

Performance Monitoring Traffic Database 136

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 117

Monitoring Scalability Database Cache 117

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

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 144

Performance Hardware Tuning Storage 144

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 Tuning Cache 76

n0derunner

JUNE 28, 2019

In this example we run pgbench with a scale factor of 1000 which equates to a database size of around 15GB. As expected the write pattern to the log disk (sda) is quite constant, while the write pattern to the database files (sdb) is bursty. pgbench with DB size 50% of Linux buffer cache.

Benchmarking 40

Benchmarking Tuning Cache Database 40

Percona

JULY 25, 2023

Percona XtraBackup performs crash recovery on the files to make a consistent, usable database again. The redo apply phase wouldn’t make the database consistent with respect to a transaction. Initializing a DD engine and the cache adds complexity and other server dependencies. ibd2sdi data/test/t1.ibd ibd > t1.sdi

Cache 98

Cache Servers Benchmarking Design 98

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 63

Benchmarking Open Source C++ Cache 63

KeyCDN

AUGUST 29, 2019

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. Static sites don’t require a backend or database and are much more simple to manage. location ~*.(js|css|png|jpg|svg|jpeg|gif|ico)$

Google 103

Google Cache Speed Analytics 103

Percona

MAY 1, 2023

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. The performance of a PostgreSQL database has a significant impact on the overall effectiveness of an application.

Tuning 52

Tuning Database Efficiency Performance 52

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 75

Cache Database Games Healthcare 75

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. Benchmark Test. For a real production test, this should be large enough to help avoid hitting cache.

Azure 76

Azure Benchmarking Storage Virtualization 76

MachMetrics

DECEMBER 14, 2019

It is typically reduced via server-side optimizations, such as enabling caching and database indexes. However, we really want to strive to be under the benchmarks that Google sets as a best practice. Even better if you’re under Google’s best practice benchmark. seconds on desktop and 2.59 seconds on mobile.

Best Practices 105

Best Practices Speed Mobile Google 105

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

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 55

Performance Benchmarking Cache Storage 55

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 64

Servers Cache Retail Benchmarking 64

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. in the TPC-H Benchmark Standard for details of the queries). Query performance is measured from both warm and cold caches. System initialisation time.

Architecture 76

Architecture Cloud Storage Serverless 76

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. At 50k syscalls/sec per CPU the overhead may be 2%, and climbs as the syscall rate increases.

Performance 72

Performance Benchmarking Cache Tuning 72

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 141

Games Latency Traffic Cache 141

SQL Performance

DECEMBER 17, 2019

You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario. In exchange for this, your databases and applications will work just the same as they would in an on-premises installation, which makes this an easy way to start using Azure. Esv3-series.

Azure 72

Azure Virtualization Servers Storage 72

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. Oracle Log File Sync.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

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. All modern browsers are fast, Chromium and Safari/WebKit included. Content Indexing.

Media 145

Media Games Education Engineering 145

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. The DB Colocation test utilizes two properties of X-Ray not found in other benchmarking tools. Time based benchmark actions. 4 “Data” Disks.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

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

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. At 50k syscalls/sec per CPU the overhead may be 2%, and climbs as the syscall rate increases.

Performance 40

Performance Benchmarking Cache Tuning 40

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. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. ASPLOS’19. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

Abhishek Tiwari

DECEMBER 13, 2017

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. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

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

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

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. Active Memory Caching. When you want to get data that you already had quickly, you need to do caching — caching stores data that a user recently retrieved. Caching partially stores your data and is not used as permanent storage.

Cache 141

Cache Performance Servers Architecture 141

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