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

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Challenges of Multi-Cloud Although multi-cloud has its benefits, it also presents some obstacles.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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

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 93

Database Hardware Open Source Strategy 93

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Reducing performance and architectural issues in their backend system gave them a 99% performance improvement! A highly distributed architecture like this has a lot of potential for performance and architectural hotspots.

Cache 198

Cache Architecture Database Government 198

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 112

Availability Database Open Source Hardware 112

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

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. When we think of a system’s architecture, the first thing that may pop into your mind is the traditional client-server system, where a server was the shared resource among many different devices and machines, like printers, computes, clients, etc. Multi-Tier. Concurrency. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

Smashing Magazine

AUGUST 15, 2021

Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. Gain awareness of which features are or aren’t working. Many businesses already have a technology roadmap.

Technology 139

Technology Technology Development Strategy 139

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

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

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 ). . is a bad idea. Sign up Now.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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 Programming Java 64

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

ACM Sigarch

OCTOBER 25, 2018

The rest of the article presents some views on whether additional single thread performance is feasible, and if so, some methods for extracting that performance in light of potential technology changes. So does this mean the current generation of out-of-order architecture is approaching fundamental limits in ST performance?

Architecture 67

Architecture Technology Technology Innovation 67

All Things Distributed

JANUARY 18, 2012

Each service encapsulates its own data and presents a hardened API for others to use. This architectural pattern was a response to the scaling challenges that had challenged Amazon.com through its first 5 years, when direct database access was one of the major bottlenecks in scaling and operating the business. The growth of Amazonâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. MongoDB security: Monitor MongoDB performance regularly As with any database, it’s essential to monitor MongoDB performance to ensure it’s running with optimal efficiency and effectiveness.

Best Practices 52

Best Practices Design Tuning Database 52

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. A fairly large batch of papers focused on the study of novel OS architectures for systems with accelerators.

Architecture 12

Architecture Hardware Cache Storage 12

Alex Russell

JULY 14, 2021

Furthermore, the content developer is unlikely to find limits presented by the WebView to be unwelcome or unreasonably immutable (via collaboration with the app developer). Hardware access APIs, notably: Geolocation. Instead of breaking content, WebViews are likely to facilitate it in these scenarios faithfully. Web Bluetooth.

Google 121

Google Mobile Engineering Internet 121

John McCalpin

JANUARY 22, 2018

Dr. Damon McDougall gave a short presentation on this study at the IXPUG 2018 Fall Conference ( pdf ) — I originally wrote these notes to help organize my thoughts as we were preparing the IXPUG presentation, and later decided that the extra details contained here are interesting enough for me to post it. cmpl $1000000000, %eax.

Latency 40

Latency Hardware Code Testing 40

SQL Performance

MARCH 8, 2021

This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. Batch operators are implemented so that multiple threads can work efficiently on a single shared structure (e.g. hash table). Mixed execution mode plans.

Servers 95

Servers Tuning Architecture Processing 95

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. An induced pipeline breaker is one that would not have been present in an optimal physical plan but was forced by the cut. VLDB’19.

Network 44

Network Database Programming Hardware 44

SQL Server According to Bob

JANUARY 11, 2020

​​ Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. This White Paper is for informational purposes only.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Meanwhile, budget segment devices have finally started to see improvement ( as this series predicted ), thanks to hand-me-down architecture and process node improvements.

Performance 90

Performance Network Mobile Speed 90

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

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Still, after all these years, keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Use progressive enhancement as a default.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Still, after all these years, keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 7, 2019

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Consider using PRPL pattern and app shell architecture.

Performance 103

Performance Cache Metrics Network 103