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

Testsigma

FEBRUARY 13, 2021

million apps on Google Play, 1.96 In physical infrastructure, setting up the environment is also time-consuming but cloud-based tools are preconfigured with devices, software, storage so you can begin testing right away. million apps on Appstore, and 6.69 lakh apps on Windows Store. Photo Credit: [link].

Cloud 52

Cloud Testing Testing Tools Small Business 52

Smashing Magazine

JANUARY 15, 2019

Partly as a result of this campaign, Google announced last year that for the first time it had purchased enough renewable energy to match 100% of its global consumption for operations. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website.

Website Performance 73

Website Performance Website Energy Performance 73

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. How does function as a service work?

Development 244

Development Serverless Best Practices Lambda 244

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

Dynatrace

JULY 31, 2020

While to-date it’s been possible to integrate Dynatrace Managed for intelligent monitoring of services running on AWS and Azure, today we’re excited to announce the release of our Dynatrace Managed marketplace listing for the Google Cloud Platform. Dynatrace Managed now available on the Google Cloud Platform. Prerequisites.

Cloud 203

Cloud Availability Azure Google 203

Dynatrace

NOVEMBER 3, 2022

These containers are software packages that include all the relevant dependencies needed to run software on any system. Container-based software isn’t tied to a platform or operating system, so IT teams can move or reconfigure processes easily. In FaaS environments, providers manage all the hardware. Process portability.

Serverless 214

Serverless Azure Hardware Transportation 214

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. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. What Exactly is Greenplum? Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? ” scenarios at industrial scale.

Hardware 101

Hardware Storage Big Data Blockchain 101

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. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system. Dynamic applications with ephemeral services.

Cloud 220

Cloud Serverless Hardware Operating System 220

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. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. This is often done to protect sensitive data from unauthorized access or theft. PostgreSQL.

Database 92

Database Storage Servers Strategy 92

Percona

NOVEMBER 1, 2023

MySQL backups play a pivotal role in safeguarding the integrity of your data, providing defense against various unforeseen calamities, hardware malfunctions, data loss, corruption, and inadvertent deletions. The key question related to RTO is, “How quickly must the data on this system be restored?”

Best Practices 77

Best Practices Storage Strategy Database 77

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Consistent improvement is the name of the game, and it can still have positive impacts, particularly as users lean on the system more heavily over time. Where Chrome Has Lagged.

Media 145

Media Games Education Engineering 145

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

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. It also supports auto-scaling of compute and storage resources, dynamically adjusting capacity based on chosen utilization thresholds to optimize performance and costs.

AWS 52

AWS Database Serverless Storage 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

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Autoscaling tiered cloud storage in Anna. ” Crusher is a Google system for automatically discovering email templates (e.g. So it’s great to see some papers from Alibaba and Tencent here.

Blockchain 46

Blockchain Hardware Google Analytics 46

Abhishek Tiwari

DECEMBER 27, 2017

A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. They now allow users to interact more with the company in the form of online forms, shopping carts, Content Management Systems (CMS), online courses, etc. Hardware resources. Hardware Resources. The list goes on and on.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

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

Highly Scalable

APRIL 2, 2012

In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes. The first piece of functionality is structural or hierarchical navigation through categories and products, which are the main business entities of the system. System Properties and Major Technical Requirements.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

High Scalability

SEPTEMBER 14, 2018

72 : signals sensed from a distant galaxy using AI; 12M : reddit posts per month; 10 trillion : per day Google generated test inputs with 100s of servers for several months using OSS-Fuzz; 200% : growth in Cloud Native technologies used in production; $13 trillion : potential economic impact of AI by 2030; 1.8 They'll love you even more.

Internet 30

Internet Internet Scalability Education 30

Dynatrace

AUGUST 5, 2019

In this role, I am leading a global team that works closely with our strategic partners such as AWS, Microsoft, Google, Pivotal, Red Hat and others. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Which Database to migrate?

Cloud 31

Cloud Traffic Database Network 31

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. 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.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

OCTOBER 22, 2017

Tools and CI systems help them monitor progress & prevent regressions. Our metrics at Google show a conflicted picture (which I’m working to get to clarity on). Some systems show median RTTs near ~100ms for 3G users. Given the conflicted data we see across our other systems, this seems about right as a baseline.

Performance 68

Performance Benchmarking Network Mobile 68

Smashing Magazine

JANUARY 11, 2021

Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). For each of them, Google recommends a range of acceptable speed goals.

Performance 145

Performance Cache Media Metrics 145

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Optimize on prem cold storage cost. Google cloud. Introduction.

Architecture 52

Architecture Cache Azure Storage 52

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). Gatsby.js (React), Preact CLI , and PWA Starter Kit provide reasonable defaults for fast loading out of the box on average mobile hardware. But this consideration needs to be deliberate.

Performance 104

Performance Cache Metrics Network 104