Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 302

Open Source Traffic DevOps Cloud 302

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 232

Architecture Artificial Intelligence Cloud Open Source 232

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

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 87

Storage Engineering Database Hardware 87

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

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

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

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 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++ 79

C++ Database Storage Testing 79

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 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 47

Benchmarking Database Operating System Architecture 47

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. While Oracle remains the #1 database on the market, its popularity has steadily declined by over 18% since 2013.

Open Source 244

Open Source Tuning C++ Database 244

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. I won’t cover all the features but show just enough that you’ll want to see more of what you can learn to accomplish for yourself.

Database 104

Database Benchmarking Latency C++ 104