Percona

NOVEMBER 2, 2023

The bad On the other hand, Kubernetes is not designed to handle large databases or mainframes. Kubernetes performance is heavily influenced by the underlying hardware. Running a database on a Kubernetes cluster should deliver similar performance, with less than a 1% difference when compared to running it on standalone hardware.

Open Source 83

Open Source Hardware Storage Database 83

Percona

MAY 1, 2023

This message is normally a side effect of a storage subsystem that is not capable of keeping up with the number of writes (e.g., The innodb_io_capacity_max parameter was set to 2000, so the hardware should be able to deliver that many IOPS without major issues. The settings might not be optimal. flushed=140, during the time.)

AWS 117

AWS Hardware Storage Tuning 117

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 5, 2024

It was initially designed to mitigate the limitations of file management systems, including slow operations, inadequate security, and substantial data redundancy. It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data.

Efficiency 147

Efficiency Storage Database Scalability 147

All Things Distributed

JANUARY 23, 2012

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? With the launch of the AWS Storage Gateway our customers can now integrate their on-premises IT environment with AWSâ??s

Storage 115

Storage AWS Virtualization Cloud 115

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Andrew Chien rightfully raises awareness of the challenges of reducing operational carbon.

Energy 98

Energy Architecture Hardware Metrics 98

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 140

Performance Latency Hardware Storage 140

High Scalability

NOVEMBER 14, 2018

Five years ago when Google published The Datacenter as a Computer: Designing Warehouse-Scale Machines it was a manifesto declaring the world of computing had changed forever. The world is still changing, so Google published a new edition: The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition.

Design 54

Design Education Google Internet 54

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality.

Metrics 130

Metrics Monitoring Latency Cache 130

Brendan Gregg

FEBRUARY 28, 2023

DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 110

Performance Latency Cache Virtualization 110

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Smashing Magazine

JUNE 18, 2020

More specifically, we’re going to talk about storage and UI differences, which are the ones that most often cause confusion to developers when writing Flutter code that they want to be cross-platform. Example 1: Storage. Secure Storage On Mobile. The situation when it comes to mobile apps is completely different.

Storage 93

Storage Mobile Website Java 93

ACM Sigarch

OCTOBER 4, 2018

This is the first post in a series of posts on different approaches to systems security especially as they apply to hardware and architectural security. The class of techniques described in this blog post, which we broadly refer to as applied hardware and architecture cryptography, apply proven cryptographic techniques to strengthen systems.

Systems 47

Systems Hardware Storage Healthcare 47

Percona

JANUARY 17, 2023

In terms of storage, internal pages are no different than the root page; they also store pointers to other internal pages. The majority of issues are caused by hardware failure or hardware issues, and the following are the most probable reasons. A robust structure of B-tree indexes is designed for faster data access.

Database 115

Database Hardware Storage Programming 115

Percona

JANUARY 19, 2023

Make sure you design the data types correctly while planning for the future growth of the table. It can help us to save costs on storage and backup times. MyRocks: MyRocks is a storage engine developed by Facebook and made open source. It was developed for optimizing data storage and access for big data sets.

Open Source 85

Open Source Storage Database Big Data 85

Percona

DECEMBER 27, 2023

It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. Well, here we are – with storage autoscaling for databases in Kubernetes, slated for release in Q1, 2024 after a year of hard work. You mentioned ‘More Simple Kubernetes’?

Cloud 77

Cloud Open Source Strategy Best Practices 77

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52

Tuning Efficiency Database Performance 52

Brendan Gregg

FEBRUARY 28, 2023

DDR6: Here's What to Expect in RAM Modules,” [link] , Nov 2020 [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] , Jul 2020 [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 52

Performance Latency Cache Virtualization 52

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. All of these require a lot of capital.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

SEPTEMBER 15, 2020

We’re therefore excited to announce that Dynatrace has received the AWS Outposts Service Ready designation. Dynatrace can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”.

AWS 200

AWS Design Storage Cloud 200

The Morning Paper

JANUARY 30, 2020

The design of the HTML5 Web Worker interface turns out to be a great match for migration – Workers are already designed to work on a separate thread communicating via message passing, and are typically used to offload expensive computation that you don’t want to do in the main thread with the user waiting.

Mobile 104

Mobile Cloud Latency Games 104

CSS Wizardry

APRIL 2, 2018

As I currently do listen to almost exclusively digitally streamed music, it was important to design a solution that was appropriate. If I go down this path, I’ll need to start considering many other things such as storage, backups, compatible media players, and maybe even dedicated hardware. Requirements. Manufacturer’s Website.

Website 108

Website Media Hardware Monitoring 108

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

Serverless 280

Serverless AWS Lambda Storage 280

SQL Server According to Bob

JUNE 3, 2016

Internally DBCC CHECK* uses a page scanning coordinator design (MultiObjectScanner.) SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases.

Hardware 40

Hardware Cache Servers Software Engineering 40

All Things Distributed

JULY 13, 2010

Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Other industries using Amazon EC2 for HPC-style workloads include pharmaceuticals, oil exploration, industrial and automotive design, media and entertainment, and more. until today. or rss feed.

Cloud 118

Cloud AWS Automotive Latency 118

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation.

Hardware 18

Hardware Architecture Programming Innovation 18

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 85

Database Hardware Open Source Strategy 85

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Smashing Magazine

JANUARY 15, 2019

In 2013, A List Apart published Sustainable Web Design by James Christie. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part.

Website Performance 73

Website Performance Website Energy Performance 73

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " In from of them is a networking layer, and the in-memory storage layer holds the actual data.

Serverless 99

Serverless Storage Latency Cloud 99

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design. What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Percona

MARCH 28, 2023

” This acts as a step to ensure durability by recovering lost data from the same journal files in case of crashes, power, and hardware failures between the checkpoints (see below) Here’s what the process looks like. So, what happens when there’s an unexpected crash or hardware failure?

Hardware 85

Hardware C++ Storage Cache 85

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Save on costs for hardware and network bandwidth to optimize total cost of ownership. Dynatrace Managed Premium High Availability provides cost savings in terms of compute and storage allocations.

Availability 247

Availability Hardware Latency Traffic 247