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. Since then the world has chosen to ride along with Google. If you like this kind of stuff, you might also like Google's New Book: The Site Reliability Workbook.

Design 54

Design Education Google Internet 54

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

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Agile Manager

JANUARY 22, 2010

Most corporate technology people (working in a department known as "Information Systems" as opposed to "Information Technology") didn’t take microcomputers all that seriously. There were lots of different combinations of architectures, operating systems and CPUs. Google recently entered this market. Toys, really.

Google 40

Google Hardware Education Operating System 40

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

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

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 244

Serverless Efficiency Lambda Azure 244

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. FaaS vs. monolithic architectures.

Development 251

Development Serverless Best Practices Lambda 251

Dynatrace

MAY 1, 2023

Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time. Operations analytics ensures IT systems perform as expected. ITOA can evaluate operating system functions and reduce costs with optimized IT resource management.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

Dynatrace

JULY 8, 2019

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. When we wanted to add a location, we had to ship hardware and get someone to install that hardware in a rack with power and network. Hardware was outdated. Sound easy?

Cloud 201

Cloud Hardware Testing Logistics 201

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 226

Cloud Serverless Hardware Operating System 226

Dynatrace

AUGUST 30, 2019

She was speaking about how her team is providing Visibility as a Service (VaaS) in order to continuously monitor and optimize their systems running across private and public cloud environments. Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. You may ask: How is this possible? At our PerformGO!

Cache 198

Cache Architecture Database Government 198

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. 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. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ACM Sigarch

OCTOBER 12, 2020

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. There’s some work on hardware proposals for these systems, like Zhu et al., What about branch prediction tables?

C++ 108

C++ Benchmarking Hardware Architecture 108

DZone

FEBRUARY 27, 2021

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. They still will win for mission-critical or real-time systems, which need performance over these parameters. In Byteland they have a very strange monetary system.

Java 207

Java C++ Benchmarking Programming 207

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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. Background A fault is a condition that causes the inability to meet a specification.

Energy 52

Energy Hardware Best Practices Architecture 52

Alex Russell

JULY 14, 2021

Google's Search App and Facebook's various apps for Android undermine these choices in slightly different ways. [3] Developers also suffer higher costs and reduced opportunities to escape Google, Facebook, and Apple's walled gardens. Instead, they load content referred by their hosting native app in system-provided WebViews.

Google 121

Google Mobile Engineering Internet 121

The Morning Paper

NOVEMBER 10, 2019

This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. Enter Google! Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol. Emphasis mine).

Network 92

Network Transportation Latency Entertainment 92

Percona

DECEMBER 27, 2022

Encrypting data at rest in a database management system (DBMS) refers to securing data by encrypting it when it is not being used or accessed. Several database management systems support cluster-level encryption, including Oracle, MySQL, Microsoft SQL Server, MongoDB, and Cassandra. Google Cloud SQL (MySQL). PostgreSQL.

Database 93

Database Storage Servers Strategy 93

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Exploring the Similarities Between Aurora vs. RDS When comparing Amazon Aurora and Amazon RDS, it becomes evident that both solutions offer time-saving benefits in systems administration.

AWS 52

AWS Database Serverless Storage 52

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google founders figured out smart ways to rank websites by analyzing their connection patterns and using that information to improve the relevance of search results. Back in the days of Web 1.0, Back in the days of Web 1.0, Determine requirements first.

Architecture 80

Architecture Scalability Google Operating System 80

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. System Properties and Major Technical Requirements.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

The Netflix TechBlog

FEBRUARY 13, 2020

Choosing 420 subsampling, over the original 444 format, halves the number of samples (counting across all 3 color planes) that need to be encoded while relying on the fact that the human visual system is more sensitive to luma than chroma. The webp format was introduced by Google around 2010.

Code 212

Code Metrics Efficiency Open Source 212

Alex Russell

MARCH 6, 2021

Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge.

Performance 124

Performance Network Cache Metrics 124

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

The Morning Paper

JULY 18, 2019

For example, a Google Bigtable database usually contains one Bloom Filter per SSTable file. The overall Neural Bloom Filter architecture looks like this: A controller network encodes the input (which might be a row in a table, but could equally be e.g. an image) into an embedding. Neural Bloom filters are inspired by this scheme.

Network 86

Network Java Database Hardware 86

Alex Russell

OCTOBER 22, 2017

Tools and CI systems help them monitor progress & prevent regressions. One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. Our metrics at Google show a conflicted picture (which I’m working to get to clarity on). What’s going on here?

Performance 68

Performance Benchmarking Network Mobile 68

ACM Sigarch

APRIL 8, 2019

Computer architecture is an important and exciting field of computer science, which enables many other fields (eg. For those of us who pursued computer architecture as a career, this is well understood. In most curriculums, undergrad students do not have much exposure to computer architecture. Why is that? Lack of Exposure.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Google cloud. Egnyte is a Secure Content Platform built specifically for businesses.

Architecture 52

Architecture Cache Azure Storage 52

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. Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Note : as TCP generally under-utilizes network connection by a significant amount, Google has developed TCP Bottleneck Bandwidth and RRT ( BBR ), a relatively new TCP delay-controlled TCP flow control algorithm.

Performance 145

Performance Cache Network 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 104

Performance Cache Metrics Network 104

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. On design systems, UX, web performance and CSS/JS. Do you really need Google Analytics on every site you build? Hardware And E-Waste. Identifying where sustainability and cost savings overlap is a good place to start.

Strategy 124

Strategy Development Energy Website 124