Percona

JUNE 12, 2023

Open source databases provide great foundations for high availability — without the pitfalls of vendor lock-in that can come with proprietary software. However, open source software doesn’t typically include built-in HA solutions. Percona Operator for MongoDB Design Overview

Architecture 93

Architecture Availability Open Source Healthcare 93

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Therefore, DBAs must take a piecemeal approach to achieve HA with PostgreSQL, bringing together open source extensions and tools from multiple sources. there cannot be high availability.

Availability 82

Availability Open Source Architecture Database 82

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. HammerDB is open source software licensed under the. Why HammerDB was developed. Adoption by the TPC.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. Netflix made many contributions to open source projects by it’s cloud platform team.

Engineering 137

Engineering Serverless Lambda AWS 137

ACM Sigarch

OCTOBER 25, 2019

When it comes to hardware support to mitigate software security issues, there is a significant gap between what is available in products today and known solutions. Attestation—Providing systems the means to attest or verify the integrity of their components. . A History of Architecture Support for Security.

Hardware 98

Hardware Virtualization Architecture Games 98

Brendan Gregg

JULY 4, 2021

This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book. Note that my predictions in this talk may be wrong, but they should be thought provoking. Ford, et al., “TCP

Performance 140

Performance Latency Hardware Storage 140

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. And this all has to work for whole-system executions, not just the C-language portion of user processes.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Percona

JUNE 20, 2023

In order to overcome these issues, the concept of paging and segmentation was introduced, where physical address space and virtual address space were designed. Here, virtual(logical) to physical address translation is much easier as segment tables store adequate information. A detailed description of these concepts is below.

Programming 82

Programming C++ Database Virtualization 82

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. To benchmark a database we introduce the concept of a Virtual User. For this reason we need to implement our database sessions in the form of operating system threads. The Python GIL.

Programming 67

Programming Benchmarking Virtualization C++ 67

Brendan Gregg

JULY 4, 2021

This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book. Note that my predictions in this talk may be wrong, but they should be thought-provoking. Ford, et al., “TCP

Performance 52

Performance Latency Hardware Storage 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

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

HammerDB

DECEMBER 5, 2020

Additionally both commercial and open source tools based on the specifications also continued to use TPC-C and TPC-H to describe these workloads. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

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. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Alex Russell

APRIL 29, 2021

Apple Corporate is at fault, not Open Source engineers or the line managers who support them. After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. So is speedy resolution and agreement. Media Session API. Declarative Shadow DOM.

Media 145

Media Games Education Engineering 145

Brendan Gregg

AUGUST 18, 2019

bpftrace is a new open source tracer for Linux for analyzing production performance problems and troubleshooting software. bpftrace uses BPF (Berkeley Packet Filter), an in-kernel execution engine that processes a virtual instruction set. hardware Hardware counter-based instrumentation. system(".")

Latency 68

Latency C++ Cache Programming 68

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. To address this, the open source community is now trying to develop Kubernetes custom schedulers specifically optimised for big data workloads.

Big Data 63

Big Data Storage Benchmarking Hardware 63

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

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. In some cases, this can be enhanced by combining data virtualization techniques with microservices architecture.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Open source models are a large and diverse group.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

Smashing Magazine

JANUARY 11, 2021

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). There are many tools allowing you to achieve that: SiteSpeed.io

Performance 145

Performance Cache Media Metrics 145