Percona

JANUARY 19, 2023

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. Example (using the employee sample DB ): Suppose we have the following schema: db1 employees> show create table employeesG 1.

Open Source 91

Open Source Storage Database Big Data 91

Percona

OCTOBER 12, 2023

An example of a flame graph can be found below: Each box is a function in the stack, and wider boxes mean more time the system was busy on CPU on these functions. An example is kubectl-flame ( [link] ). For example, if you specify the NodeJS language, it produces the flame graph based on perf output. ✔ Launching profiler.

Code 112

Code Tuning C++ Benchmarking 112

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. Additionally both commercial and open source tools based on the specifications also continued to use TPC-C and TPC-H to describe these workloads. But why is this important?

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

JULY 19, 2023

Hopefully, the above explanations and examples will spark something in you! The above ULID plugin came as an idea from a post by Shopify , specifically #6, that mentioned moving to ULID over UUID for better sequential INSERTs in their MySQL databases. Look for part two, where we benchmark ULID in MySQL! Or blinking an LED ?

C++ 83

C++ Servers Benchmarking Best Practices 83

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. Use caution if you plan to benchmark real production servers. Conclusion.

Azure 76

Azure Benchmarking Storage Virtualization 76

Dynatrace

SEPTEMBER 23, 2021

Application developers commonly leverage open-source software when building containerized applications. In fact, the market research firm Forrester says that the average container image is comprised of 70% open-source software.[1] 1] And unfortunately, open-source software is often fraught with security vulnerabilities.

Open Source 249

Open Source Benchmarking Best Practices Network 249

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 110

Availability Database Open Source Hardware 110

Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 100

AWS Benchmarking Performance Traffic 100

Percona

DECEMBER 26, 2023

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Grafana database backend: Prometheus version 2.15.2+d About the environment Grafana: version 10.0.0 And yes, it even works in PostgreSQL.

Benchmarking 125

Benchmarking Metrics C++ Database 125

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

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

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

KeyCDN

OCTOBER 2, 2018

Subjects like version control, crowdfunding, database selection and code editor choices are essential to efficient modern workflows, and this is a good place to start learning about them. It features live examples of design patterns that make it easy to see how concepts work on different platforms. Visit website 14. Visit website 20.

Development 75

Development Website Design Code 75

Percona

AUGUST 22, 2023

Estimates vary, but most reports put the average cost of unplanned database downtime at approximately $300,000 to $500,000 per hour, or $5,000 to $8,000 per minute. With so much at stake, database high availability and fault tolerance have become must-have items, but many companies just aren’t certain which one they must have.

Availability 82

Availability Hardware Open Source Database 82

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. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide.

Performance 128

Performance Hardware Tuning Storage 128

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

Programming 67

Programming Benchmarking Virtualization C++ 67

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. ” Usually when benchmark results are surprising it is a major hint that something could be misconfigured and that certainly seems the case here, so what could it be? 3834 2696

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Percona

JANUARY 24, 2023

Such “torn pages” are corruptions from the database point of view. This is not a problem for PostgreSQL alone; every database software needs to deal with this problem. For example, MySQL/InnoDB deals with this problem using a Doublewrite buffer from where a copy of the non-corrupt page can be obtained during the recovery.

Database 119

Database Benchmarking Open Source Latency 119

HammerDB

MAY 26, 2022

If you are not already familiar with the programming languages that HammerDB uses, then this earlier post serves as an ideal introduction to what makes up the highest performing GIL free database benchmarking application. X Linux, with the following example from Red Hat Linux. The build has been tested on x64 Red Hat 8.X

C++ 113

C++ Database Open Source Servers 113

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

HammerDB

NOVEMBER 30, 2018

HammerDB is open source and all of the source code is available at the sourceforge Git development site here [link] or the github mirror here [link]. In fact all of this source code is also included in readable form with each and every release. loaded library db2tcl for Db2 Checking database library for MySQL Success.

Architecture 40

Architecture Virtualization Open Source C++ 40

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

HammerDB

DECEMBER 9, 2020

may not be directly comparable with the results from previous releases for your database. The reason for these changes is that over time for some databases more advanced features or drivers have been introduced that improve performance since the time that the original HammerDB transactions or interfaces were written. From HammerDB v4.0

C++ 52

C++ Benchmarking Metrics Database 52

O'Reilly

JULY 25, 2023

I guessed that maybe ChatGPT only knew about v2 since it was trained on open-source code from before September 2021 (its knowledge cutoff date) and v2 was the dominant format before that date. Tutorials provide generic conceptual explanations and use made-up toy examples that I can’t relate to.

Programming 98

Programming Code Design Benchmarking 98

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

Percona

AUGUST 30, 2018

One of the common ways to classify database workloads is whether it is “read intensive” or “write intensive”. Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability.

Benchmarking 48

Benchmarking Database Operating System Architecture 48

The Morning Paper

JULY 2, 2019

The thesis of this paper, supported by experience developing large open-source frameworks supporting real-world streaming use cases, is that the SQL language and relational model as-is and with minor non-intrusive extensions, can be very effective for manipulation of streaming data. For example, SELECT. Hop example.

Efficiency 65

Efficiency Processing Benchmarking Open Source 65

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. Adjust the argument depending on the group of stakeholders you are speaking to.

Performance 145

Performance Cache Network Metrics 145