Percona

DECEMBER 27, 2023

We want adopters of our technology to be able to deploy their critical open source databases and applications across any public or private cloud environment. Creating repositories for memory-safe patterns in cloud systems to improve overall security. It’s worry-free and doesn’t require human intervention.

Cloud 77

Cloud Open Source Strategy Best Practices 77

The Netflix TechBlog

APRIL 29, 2019

We use and contribute to many open-source Python packages, some of which are mentioned below. Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. If any of this interests you, check out the jobs site or find us at PyCon.

Open Source 279

Open Source Network Infrastructure Big Data 279

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. We’ll say more about this later.)

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

All Things Distributed

MARCH 19, 2018

" To make things even more challenging, a system that can handle a single large training job is not nearly good enough if training jobs are slow or expensive. This post lifts the veil on some of the scientific, system design, and engineering decisions we made along the way. Post-training model tuning and rich states.

Scalability 159

Scalability Hardware AWS Tuning 159

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. sysbench is a widely used open-source benchmarking tool that is designed to evaluate the performance of CPU, memory, disk I/O, and database systems. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Percona

JANUARY 4, 2024

In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables. 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 85

Storage Engineering Database Hardware 85

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 102

Database Benchmarking Latency C++ 102

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task.

Hardware 97

Hardware Storage Big Data Blockchain 97

Adrian Cockcroft

JUNE 2, 2023

FSD has a sense of purpose, a planning capability, has real time agency and responds to its environment via an ego model, predicting the behavior of pedestrians and other road users, and is being tuned to drive in a very human way, so that other road users interact with it as a predicable normal driver. Tristan Zajonc, CEO of Continual.ai

Social Media 98

Social Media Innovation Open Source Entertainment 98

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. 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.

Best Practices 52

Best Practices Design Tuning Database 52

HammerDB

OCTOBER 18, 2019

As noted previously the main developer of HammerDB is an Intel employee (#IAMINTEL) however HammerDB is a personal open source project and any opinions are my own, specific to the context of HammerDB as an independent personal project and not representing Intel. So by default, the system boots into powersave.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

O'Reilly

JANUARY 16, 2024

I’ve recently been brainstorming ideas for how to design such a system and how to deal with the practical challenges of scaling and maintenance. software” rather than “hardware” in our brains). Alternatively, cars are now starting to directly embed AI into entertainment systems (e.g., Thank you very much for reading.

Entertainment 72

Entertainment Internet Internet Design 72

Percona

AUGUST 29, 2023

Depending on the configuration, one can tune a hardware RAID for either performance or redundancy. Can you think of a better system that can stay up without losing time initiating failovers when a node fails? Now let’s stretch our imagination and consider a second method of high availability, ala Citus.

C++ 77

C++ Database Storage Testing 77

HammerDB

JANUARY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and any opinions are specific to the context of HammerDB as an independent personal project and are not related to Intel in any way. Repeatability. can you be sure that it scales?

Benchmarking 40

Benchmarking Database Social Media Scalability 40

HammerDB

FEBRUARY 25, 2021

On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute. For this reason we need to implement our database sessions in the form of operating system threads. To prevent the roundtrip between the client and database becoming the bottleneck.

Programming 67

Programming Benchmarking Virtualization C++ 67

Abhishek Tiwari

JULY 12, 2018

In a nutshell, a data pipeline is a distributed system. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. Pipeline reliability and performance go hand in hand.

Latency 63

Latency Analytics Scalability Engineering 63

Percona

AUGUST 30, 2018

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. Let’s now look at the operating system level. In other words, whether the workload is dominated by reads or writes.

Benchmarking 46

Benchmarking Database Operating System Architecture 46

KeyCDN

SEPTEMBER 20, 2018

Not all back-end errors affect the user experience, but keeping track of them can prove helpful when tuning your app. The Google DevTools console can give you real-time feedback to help you trace the source of errors, and you can set handlers to automate exception data collection.

Strategy 67

Strategy Monitoring Website Google 67

Smashing Magazine

AUGUST 22, 2021

However, TCP is typically implemented in the operating system’s (OS’) kernel, a secure and more restricted environment, which for most OSes isn’t even open source. As such, tuning congestion logic is usually only done by a select few developers, and evolution is slow. Both systems deliver the same feature (i.e.

Performance 106

Performance Network Latency Servers 106