The Morning Paper

DECEMBER 1, 2019

Efficient lock-free durable sets Zuriel et al., State-of-the-art constructions of durable lock-free sets, denoted Log-Free Data Structures, were recently presented by David et al., In this paper, we present a new idea with two algorithms for durable lock-free sets, which reduce the number of flushes substantially. .”

Efficiency 60

Efficiency Cache C++ Performance 60

Percona

NOVEMBER 2, 2023

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. You should also review your hardware resources, how you use MongoDB, and any custom configurations.

Best Practices 85

Best Practices Hardware Tuning Scalability 85

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources. The concept is like text messaging — a feature most mobile phone users understand.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources. The concept is like text messaging — a feature most mobile phone users understand.

Monitoring 198

Monitoring Serverless Programming Speed 198

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

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output. It’s equally important to put preventative measures in place.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

APRIL 15, 2022

While modern cloud systems simplify tasks — such as deploying apps and provisioning new hardware and servers — cloud environments can be surprisingly complex. ” This allows Dynatrace to present relevant data, in context, for applications and operations — delivering the best observability possible.

Cloud 176

Cloud Infrastructure Innovation Monitoring 176

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 90

Open Source Database Hardware Strategy 90

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. An SDC is the worst possible outcome of a fault, as it can have an arbitrary impact on the correctness of software running on the hardware. The figure below presents a historical retrospective of the soft error problem as a timeline.

Energy 52

Energy Hardware Best Practices Architecture 52

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 105

Availability Database Open Source Hardware 105

Dotcom-Montior

NOVEMBER 24, 2021

A three-tier system is a software application architecture that consists of a presentation layer, application layer, and data, or core, layer. Software and hardware components are autonomous and execute tasks concurrently. Blockchain is a good example of this. There is no single server or machine that takes care of the workload.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. All this was made possible without any need for hardware upgrades : Misconfigured queue and pool sizes are a common issue in distributed architectures. . A reduced resource footprint also makes migrating to a public cloud more cost-efficient.

Cache 197

Cache Database Architecture Government 197

The Netflix TechBlog

JUNE 4, 2019

The idea CFS operates by very frequently (every few microseconds) applying a set of heuristics which encapsulate a general concept of best practices around CPU hardware use. We are working on multiple fronts to extend the solution presented here. We formulate the problem as a Mixed Integer Program (MIP).

Cache 251

Cache Latency Airlines Logistics 251

ACM Sigarch

APRIL 26, 2018

HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. Compared with Google Pixel 1, the HDR photography is accelerated by 5x and the power efficiency increased by 10x. SPU: Stream Processing Unit (SPU) is related to the specialized hardware to process the data streams of video.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

The Morning Paper

JUNE 13, 2019

HotOS’19 is presenting me with something of a problem as there are so many interesting looking papers in the proceedings this year it’s going to be hard to cover them all! Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs. HotOS’19.

Hardware 58

Hardware Latency Serverless Energy 58

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52

Energy Hardware Efficiency Architecture 52

Testsigma

APRIL 13, 2021

During compatibility testing of an application, we check the compatibility of the application with multiple devices, hardware, software versions, network, operating systems, and browsers, etc. During backward compatibility testing we will ensure that the latest application version is compatible with the older devices/ browsers/ hardware.

Testing 84

Testing Hardware Mobile Testing Tools 84

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Over-provisioned instances may lead to unnecessary infrastructure costs.

Cloud 117

Cloud Serverless AWS Storage 117

Sutter's Mill

FEBRUARY 13, 2017

” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. I’ll pick which one (or more) of those topics to present sometime in March. Description.

Latency 51

Latency C++ Hardware Performance 51

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) It requires both a disaggregated memory solution for independent scaling, and an efficient mechanism to share that disaggregated memory across multiple tenants.

Storage 112

Storage Engineering Cache Serverless 112

Smashing Magazine

OCTOBER 11, 2022

Presenting The Case For Sustainability. Being able to present a business case, and demonstrate that the benefits outweigh the costs, will help justify focusing resources in the area of sustainability. For example, changing our database architecture to be more efficient could save on server costs. Hardware And E-Waste.

Strategy 123

Strategy Development Energy Website 123

Alex Russell

APRIL 29, 2021

Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. These TransformStream types help applications efficiently deal with large amounts of binary data. is access to hardware devices. Form-associated Web Components. CSS Custom Paint.

Media 145

Media Games Education Engineering 145

SQL Performance

JANUARY 23, 2020

The approach was influential in the design of the SQL Sentry performance dashboard, which presents waits flanked by queues (key resource metrics) to deliver a comprehensive view of server performance. Since CPU and IO consumption translate directly to server hardware and cloud spend, this is significant. Most Queries Don't Wait.

Tuning 115

Tuning Servers Monitoring Hardware 115

SQL Performance

MARCH 17, 2020

I will be looking for distinct values in the BountyAmount column of the dbo.Votes table, presented in bounty amount order ascending. The MAXDOP 1 query now uses a Stream Aggregate because the optimizer can use the nonclustered index to present rows in BountyAmount order: Serial Nonclustered Row Mode Plan.

Servers 86

Servers Tuning Database Efficiency 86

SQL Performance

DECEMBER 27, 2019

billion rows, presented on 143 million pages, and occupying ~1.14TB. Of course we can always throw more disk at a table, but I wanted to see if we could scale this more efficiently than the current linear trend. mdf' ) TO FILEGROUP FG_CCI_PARTITIONED ; On this particular hardware (YMMV!), At the time it had 3.75

Database 70

Database Storage Hardware Efficiency 70

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

Dotcom-Montior

DECEMBER 8, 2021

By ITIL definition, the service desk may take the form of incident resolution or service requests, but whatever the case, the primary goal of the service desk to provide quick and efficient service. Software services still require physical devices and hardware for them to function. Problem Management. Asset Management. Postmortems.

Social Media 90

Social Media Monitoring Latency DevOps 90

The Morning Paper

MARCH 17, 2020

most recently ‘ Efficient lock-free durable sets ‘). Based on these findings, the authors present four guidelines to get the best performance out of this memory today. An empirical guide to the behavior and use of scalable persistent memory , Yang et al., FAST’20. Absolutely fascinating if you like this kind of thing!

Scalability 59

Scalability Latency Cache Media 59

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Business Requirement.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. Honestly, this is not time-effective at all if you’re aiming for efficiency and speed. If you configure a test environment and run into any errors, those will reflect in your test efficiency.

Cloud 57

Cloud Testing Storage DevOps 57

KeyCDN

JULY 2, 2020

This language would have to exist regardless of hardware, location, culture, political beliefs, etc. There are virtually no presentational attributes in XHTML which will make your work extremely structured with all of your presentation work going into a style sheet. Consensus: Everyone had to agree to use the standards.

Internet 56

Internet Internet Best Practices Website 56

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. Fast forward a decade, and both the software and hardware situations have changed dramatically. Don't like the consequences?

Hardware 64

Hardware Mobile Java Programming 64

The Morning Paper

SEPTEMBER 26, 2019

But assumptions we’ve been making since then (and until the present day, it appears!) Therefore, through this research, we highlight an open research challenge of building secure, scalable and efficient aircraft landing systems. The first fully operational Instrument Landing System (ILS) for planes was deployed in 1932. Emphasis mine).

Wireless 91

Wireless Systems Airlines Hardware 91

O'Reilly Software

APRIL 4, 2018

Fast forward to the present day and we find ourselves in a world where the number of connected devices is constantly increasing. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible.

Architecture 80

Architecture Scalability Google Operating System 80

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. Industrial machinery is instrumented and Internet connected to stream data into the cloud to gain usage insights, improve efficiencies and prevent outages. Cloud enables self-service analytics.

Analytics 136

Analytics Cloud Healthcare Retail 136

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 52

Performance Latency Cache Virtualization 52