Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 203

Artificial Intelligence DevOps Hardware Virtualization 203

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

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 115

AWS Hardware Storage Tuning 115

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

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. 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?? s storage infrastructure. Comments ().

Storage 115

Storage AWS Virtualization Cloud 115

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. In this post, we will consider the use of mathematics/cryptography as an approach to improving systems security.

Systems 47

Systems Hardware Storage Healthcare 47

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

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

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

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. These essential data points heavily influence both stability and efficiency within the system. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

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. 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. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

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

Percona

MAY 1, 2023

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

Percona

DECEMBER 27, 2023

Another significant issue within security concerns is the escalating complexity of modern systems, especially in platforms like Kubernetes, which highlights the need for unified threat models and scanning tools to address vulnerabilities. Creating repositories for memory-safe patterns in cloud systems to improve overall security.

Cloud 76

Cloud Open Source Strategy Best Practices 76

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. Managed here means that the system automates resource provisioning for models to match a set of SLO constraints (cf. autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

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

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Testsigma

JULY 3, 2021

But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else. as a result there were product and messaging changes.

Tuning 52

Tuning Benchmarking Engineering C++ 52

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

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Not just for HPC but for mission critical enterprise systems such as OLTP. All Things Distributed. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

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.

Serverless 281

Serverless AWS Lambda Storage 281

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

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. Without data backup mechanisms, there can be data loss or system downtime.

Database 84

Database Hardware Open Source Strategy 84

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

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

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality.

Big Data 154

Big Data Processing Lambda Database 154

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 74

Website Performance Website Energy Performance 74

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

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. In a nutshell, a data pipeline is a distributed system. A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

Percona

OCTOBER 18, 2023

Compatibility Open source databases are designed with interoperability at their core, adhering to industry standards and offering support for a wide range of data import and export formats. Evaluating your hardware requirements is another vital aspect of resource allocation. Should I be bringing in external experts to help out?

Open Source 88

Open Source Database Hardware Strategy 88

Scalegrid

JANUARY 8, 2024

Discover key insights and strategic advice in our article, designed to steer you toward the best cloud solution that fits your company’s priorities. An example of this type of setup is when an organization utilizes a combination of both its own IT systems and external public cloud services to store applications and confidential information.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

Percona

MARCH 28, 2023

Every database system has to ensure durability and reliability. ” 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.

Hardware 84

Hardware C++ Storage Cache 84

Dynatrace

NOVEMBER 11, 2020

Note that most of the changes we’ve introduced so far and those that are detailed below are all designed to be invisible to you, taking place entirely automatically in the background. However these improvements are of critical importance for those who have been exposed to the problems that these improvements are designed to solve.

Best Practices 197

Best Practices Storage Java Benchmarking 197