Dynatrace

OCTOBER 2, 2023

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. Many organizations also find it useful to use an open source observability tool, such as OpenTelemetry.

Architecture 224

Architecture Artificial Intelligence Cloud Open Source 224

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. The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Results for Percona Server for MySQL 8.0

Cache 105

Cache Hardware Servers Benchmarking 105

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. Flexible location : Data files can reside within the MySQL data directory or an independent location, enabling finer control over storage management and performance tuning.

Storage 91

Storage Engineering Database Hardware 91

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

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. Some of them are: MySQL Cluster: MySQL NDB Cluster is an in-memory database clustering solution developed by Oracle for MySQL.

Open Source 91

Open Source Storage Database Big Data 91

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

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The Linux default is usually 60 , which is not ideal for database usage. Spoiler alert: This post focuses on MongoDB 3.6.X

Best Practices 52

Best Practices Design Tuning Database 52

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00 current CPU frequency: Unable to call hardware current CPU frequency: 1.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Percona

AUGUST 29, 2023

Data redundancy, a database version of a RAID Pondering the case of high availability and redundancy, one replicates data by creating a replica via streaming replication. Depending on the configuration, one can tune a hardware RAID for either performance or redundancy. Extension citus has been created in database db01.

C++ 83

C++ Database Storage Testing 83

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

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

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

All Things Distributed

MARCH 19, 2018

Finally, traditional machine learning algorithms usually consume data from persistent data sources such as local disk, Amazon S3, or Amazon EBS. Streaming algorithms also natively consume ephemeral data sources such as Amazon Kinesis streams, pipes, database query results, and almost any other data source.

Scalability 159

Scalability Hardware AWS Tuning 159