This document discusses how the Boomerang tool works to measure website performance from the end user's perspective. Boomerang is a piece of JavaScript code that measures network latency and throughput to the website, as well as page load time, and sends this performance data back to the website owners. It provides more accurate real-world performance metrics than lab testing by measuring performance across varying user devices, browsers, networks and other conditions that are outside the owners' control.
The document appears to be a presentation on measuring real user experiences using Real User Monitoring (RUM) and analyzing the data. It discusses using RUM tools like Boomerang to collect data on user behavior and performance in real-time. The presentation then examines specific metrics collected like user patience, cache behavior, and how quickly new software versions are distributed based on the RUM data.
Improving 3rd Party Script Performance With IFrames
This document discusses using <IFRAME> tags to improve the performance of third party scripts. It describes how third party scripts normally block page loading and proposes using an iframe to load scripts asynchronously in parallel without blocking. It provides code for creating an iframe targeted to load scripts, handling cross-domain issues, and modifying the Method Queue Pattern to support iframes. The approach allows third party scripts to load without blocking the main page load.
The document discusses Boomerang, an open source tool for measuring real user performance on websites. It measures load times, bandwidth usage, latency and other metrics. Additional functionality can be added through plugins. The presentation encourages developers to use Boomerang to analyze user behavior, identify performance issues, and continuously improve sites based on real user data. It provides several examples of insights that can be gained, such as how performance varies by country, browser, and internet connection speed.
Abusing JavaScript to measure Web Performance, or, "how does boomerang work?"
The document is a presentation about abusing JavaScript to measure web performance. It discusses using JavaScript to measure network latency, TCP handshake time, network throughput, DNS lookup time, IPv6 support and latency, and other performance metrics. It provides code examples for measuring each metric in JavaScript and notes challenges to consider. The presentation encourages the use of the open source Boomerang library for accurate performance measurement.
If you're interested in measuring real user web performance, you'll find tools like boomerang or episodes quite handy. Some popular web frameworks even have modules that make it easy to add them to your site. However, what does one do once one has collected the data? How do you filter out the noise and get meaningful insights from the data?
In this talk, I'll go over the techniques we've picked up by analyzing millions of datapoints daily. I'll cover some simple rules to filter out invalid data, and the statistics to analyze and make sense of what's left. Do you use the mean, median or mode? What about the geometric mean and standard deviation? How confident are we in the results? And finally, why should we care?
This talk should help you gain useful insights from a histogram, or at the very least point you in the right direction for further analysis.
While building boomerang, we developed many interesting methods to measure network performance characteristics using JavaScript running in the browser. While the W3C's NavigationTiming API provides access to many performance metrics, there's far more you can get at with some creative tweaking and analysis of how the browser reacts to certain requests.
In this talk, I'll go into the details of how boomerang works to measure network throughput, latency, TCP connect time, DNS time and IPv6 connectivity. I'll also touch upon some of the other performance related browser APIs we use to gather useful information. I will NOT be covering the W3C Navigation Timing API since that's been covered by Alois Reitbauer in a previous Boston Web Perf talk.
The document discusses analyzing real user monitoring (RUM) data to gain insights into website performance and user behavior. It describes building plugins to collect navigation and timing data from browsers. Various statistical techniques for analyzing the data are covered, including log-normal distributions, filtering outliers, sampling, and correlating metrics like page load time and bounce rates. The analysis of an example 8 million page dataset suggests very fast or slow page loads are associated with higher bounce rates, and thresholds for user-unfriendly performance are proposed based on bounce rates exceeding 50%.
This document contains slides from a presentation about using JavaScript to analyze network performance. It discusses how to measure latency, TCP handshake time, network throughput, DNS lookup time, IPv6 support and latency, and private network scanning using JavaScript. Code examples are provided for measuring each of these network metrics by making image requests and timing the responses. The presentation emphasizes that accurately measuring network throughput requires requesting resources of different sizes and accounting for TCP slow start. It also notes some challenges around caching and geo-located DNS results.
A Node.JS bag of goodies for analyzing Web Traffic
This document is a presentation about analyzing web traffic using Node.js modules. It introduces Node.js and the npm package manager. It then discusses modules for parsing HTTP logs, including parsing user agents, handling IP addresses, geolocation, and date formatting. It also covers modules for statistical analysis like fast-stats, gauss, and statsd. The presentation provides code examples for using these modules and takes questions at the end.
The document discusses input validation and output encoding to prevent vulnerabilities like XSS and SQL injection. It provides examples of how unexpected input can enable attacks, like special characters or invalid data types being passed to endpoints and rendered unencoded. The key lessons are that input validation is needed to receive clean, expected data, while output encoding is crucial to prevent exploits when displaying data to users. Both techniques are important defenses that address different but related issues.
Messing with JavaScript and the DOM to measure network characteristics
This document discusses using JavaScript to analyze network performance. It covers measuring latency, TCP handshake time, DNS lookup time, network throughput, and IPv6 support. The document provides code examples for measuring each of these metrics using JavaScript and analyzing image load times. It notes that network conditions vary and accurate measurements require statistical analysis over many samples.
This document summarizes a presentation about using Boomerang, a JavaScript tool, to measure web page performance from the end user's perspective. Boomerang measures latency, bandwidth, and page load time by making requests to the site from code included on pages and sending the results to a beacon URL. It aims to provide accurate, real-world performance metrics that account for the many variables experienced by users, unlike lab testing. The document discusses how Boomerang technically measures these metrics and explains guidelines for including Boomerang code on pages to collect performance data.
The document discusses boomerang, a JavaScript tool for measuring web page performance from the end user's perspective. It works by measuring latency, bandwidth, and page load times and sending that data back to the developer. The collected data can be analyzed to identify outliers, trends over time, and opportunities for performance improvements based on factors like user location and ISP.
This document discusses using Boomerang, a JavaScript tool, to measure web performance from the user's perspective. Boomerang measures latency, bandwidth, and page load times by making requests to the server from the user's browser. It collects and analyzes the data to identify outliers, group results based on connection speed, and correlate performance with code changes. The tool provides insight into where to optimize and where to locate content delivery networks for better performance.
The document discusses measuring web performance from the end user's perspective using JavaScript. It notes that most web slowness comes from the front-end, which developers can't control due to browser, plugin, OS and other variations. To get accurate measurements, performance must be measured directly from the user's device using JavaScript, which is ubiquitous. The talk will discuss Boomerang, a JavaScript tool that measures page load performance and sends anonymized data back to developers for analysis.
Quality Patents: Patents That Stand the Test of Time
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
How Social Media Hackers Help You to See Your Wife's Message.pdf
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS
WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well.
Some facts about WPRiders and why we are one of the best firms around:
More than 700 five-star reviews! You can check them here.
1500 WordPress projects delivered.
We respond 80% faster than other firms! Data provided by Freshdesk.
We’ve been in business since 2015.
We are located in 7 countries and have 22 team members.
With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce.
Our team members are:
- highly experienced developers (employees & contractors with 5 -10+ years of experience),
- great designers with an eye for UX/UI with 10+ years of experience
- project managers with development background who speak both tech and non-tech
- QA specialists
- Conversion Rate Optimisation - CRO experts
They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals.
At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
How RPA Help in the Transportation and Logistics Industry.pptx
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
7 Most Powerful Solar Storms in the History of Earth.pdf
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
Best Practices for Effectively Running dbt in Airflow.pdf
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models.
This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
Webinar given on 9 July 2024
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Mitigating the Impact of State Management in Cloud Stream Processing Systems
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Frontend Performance: Beginner to Expert to Crazy PersonPhilip Tellis
The document discusses front-end web performance optimization from beginner to expert levels. At the beginner level, it recommends starting with basic optimizations like measuring performance, enabling gzip compression, optimizing images, and caching. At the expert level, it discusses more advanced techniques like using a CDN, splitting JavaScript files, auditing CSS, and flushing content early. Finally, it outlines "crazy" optimizations like pre-loading assets, post-load fetching, and understanding round-trip network latency.
Frontend Performance: Beginner to Expert to Crazy PersonPhilip Tellis
Boston Web Performance Meetup, April 22, 2014
The very first requirement of a great user experience is actually getting the bytes of that experience to the user before they they get fed up and leave. In this talk we'll start with the basics and get progressively insane. We'll go over several front-end performance best practices, a few anti-patterns, the reasoning behind the rules, and how they've changed over the years. We'll also look at some great tools to help you.
Schedule: 6:30, pizza
7:15: talk
Frontend Performance: Beginner to Expert to Crazy PersonPhilip Tellis
The very first requirement of a great user experience is actually getting the bytes of that experience to the user before they they get fed up and leave.
In this talk we'll start with the basics and get progressively insane. We'll go over several frontend performance best practices, a few anti-patterns, the reasoning behind the rules, and how they've changed over the years. We'll also look at some great tools to help you.
The document appears to be a presentation on measuring real user experiences using Real User Monitoring (RUM) and analyzing the data. It discusses using RUM tools like Boomerang to collect data on user behavior and performance in real-time. The presentation then examines specific metrics collected like user patience, cache behavior, and how quickly new software versions are distributed based on the RUM data.
Improving 3rd Party Script Performance With IFramesPhilip Tellis
This document discusses using <IFRAME> tags to improve the performance of third party scripts. It describes how third party scripts normally block page loading and proposes using an iframe to load scripts asynchronously in parallel without blocking. It provides code for creating an iframe targeted to load scripts, handling cross-domain issues, and modifying the Method Queue Pattern to support iframes. The approach allows third party scripts to load without blocking the main page load.
The document discusses Boomerang, an open source tool for measuring real user performance on websites. It measures load times, bandwidth usage, latency and other metrics. Additional functionality can be added through plugins. The presentation encourages developers to use Boomerang to analyze user behavior, identify performance issues, and continuously improve sites based on real user data. It provides several examples of insights that can be gained, such as how performance varies by country, browser, and internet connection speed.
Abusing JavaScript to measure Web Performance, or, "how does boomerang work?"Philip Tellis
The document is a presentation about abusing JavaScript to measure web performance. It discusses using JavaScript to measure network latency, TCP handshake time, network throughput, DNS lookup time, IPv6 support and latency, and other performance metrics. It provides code examples for measuring each metric in JavaScript and notes challenges to consider. The presentation encourages the use of the open source Boomerang library for accurate performance measurement.
The Statistics of Web Performance AnalysisPhilip Tellis
If you're interested in measuring real user web performance, you'll find tools like boomerang or episodes quite handy. Some popular web frameworks even have modules that make it easy to add them to your site. However, what does one do once one has collected the data? How do you filter out the noise and get meaningful insights from the data?
In this talk, I'll go over the techniques we've picked up by analyzing millions of datapoints daily. I'll cover some simple rules to filter out invalid data, and the statistics to analyze and make sense of what's left. Do you use the mean, median or mode? What about the geometric mean and standard deviation? How confident are we in the results? And finally, why should we care?
This talk should help you gain useful insights from a histogram, or at the very least point you in the right direction for further analysis.
Abusing JavaScript to Measure Web PerformancePhilip Tellis
While building boomerang, we developed many interesting methods to measure network performance characteristics using JavaScript running in the browser. While the W3C's NavigationTiming API provides access to many performance metrics, there's far more you can get at with some creative tweaking and analysis of how the browser reacts to certain requests.
In this talk, I'll go into the details of how boomerang works to measure network throughput, latency, TCP connect time, DNS time and IPv6 connectivity. I'll also touch upon some of the other performance related browser APIs we use to gather useful information. I will NOT be covering the W3C Navigation Timing API since that's been covered by Alois Reitbauer in a previous Boston Web Perf talk.
The document discusses analyzing real user monitoring (RUM) data to gain insights into website performance and user behavior. It describes building plugins to collect navigation and timing data from browsers. Various statistical techniques for analyzing the data are covered, including log-normal distributions, filtering outliers, sampling, and correlating metrics like page load time and bounce rates. The analysis of an example 8 million page dataset suggests very fast or slow page loads are associated with higher bounce rates, and thresholds for user-unfriendly performance are proposed based on bounce rates exceeding 50%.
Analysing network characteristics with JavaScriptPhilip Tellis
This document contains slides from a presentation about using JavaScript to analyze network performance. It discusses how to measure latency, TCP handshake time, network throughput, DNS lookup time, IPv6 support and latency, and private network scanning using JavaScript. Code examples are provided for measuring each of these network metrics by making image requests and timing the responses. The presentation emphasizes that accurately measuring network throughput requires requesting resources of different sizes and accounting for TCP slow start. It also notes some challenges around caching and geo-located DNS results.
A Node.JS bag of goodies for analyzing Web TrafficPhilip Tellis
This document is a presentation about analyzing web traffic using Node.js modules. It introduces Node.js and the npm package manager. It then discusses modules for parsing HTTP logs, including parsing user agents, handling IP addresses, geolocation, and date formatting. It also covers modules for statistical analysis like fast-stats, gauss, and statsd. The presentation provides code examples for using these modules and takes questions at the end.
The document discusses input validation and output encoding to prevent vulnerabilities like XSS and SQL injection. It provides examples of how unexpected input can enable attacks, like special characters or invalid data types being passed to endpoints and rendered unencoded. The key lessons are that input validation is needed to receive clean, expected data, while output encoding is crucial to prevent exploits when displaying data to users. Both techniques are important defenses that address different but related issues.
Messing with JavaScript and the DOM to measure network characteristicsPhilip Tellis
This document discusses using JavaScript to analyze network performance. It covers measuring latency, TCP handshake time, DNS lookup time, network throughput, and IPv6 support. The document provides code examples for measuring each of these metrics using JavaScript and analyzing image load times. It notes that network conditions vary and accurate measurements require statistical analysis over many samples.
Measuring the web with Boomerang (YUIConf 2010)Philip Tellis
This document summarizes a presentation about using Boomerang, a JavaScript tool, to measure web page performance from the end user's perspective. Boomerang measures latency, bandwidth, and page load time by making requests to the site from code included on pages and sending the results to a beacon URL. It aims to provide accurate, real-world performance metrics that account for the many variables experienced by users, unlike lab testing. The document discusses how Boomerang technically measures these metrics and explains guidelines for including Boomerang code on pages to collect performance data.
Boomerang at the Boston Web Performance meetupPhilip Tellis
The document discusses boomerang, a JavaScript tool for measuring web page performance from the end user's perspective. It works by measuring latency, bandwidth, and page load times and sending that data back to the developer. The collected data can be analyzed to identify outliers, trends over time, and opportunities for performance improvements based on factors like user location and ISP.
This document discusses using Boomerang, a JavaScript tool, to measure web performance from the user's perspective. Boomerang measures latency, bandwidth, and page load times by making requests to the server from the user's browser. It collects and analyzes the data to identify outliers, group results based on connection speed, and correlate performance with code changes. The tool provides insight into where to optimize and where to locate content delivery networks for better performance.
The document discusses measuring web performance from the end user's perspective using JavaScript. It notes that most web slowness comes from the front-end, which developers can't control due to browser, plugin, OS and other variations. To get accurate measurements, performance must be measured directly from the user's device using JavaScript, which is ubiquitous. The talk will discuss Boomerang, a JavaScript tool that measures page load performance and sends anonymized data back to developers for analysis.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
How Social Media Hackers Help You to See Your Wife's Message.pdfHackersList
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS
WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well.
Some facts about WPRiders and why we are one of the best firms around:
More than 700 five-star reviews! You can check them here.
1500 WordPress projects delivered.
We respond 80% faster than other firms! Data provided by Freshdesk.
We’ve been in business since 2015.
We are located in 7 countries and have 22 team members.
With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce.
Our team members are:
- highly experienced developers (employees & contractors with 5 -10+ years of experience),
- great designers with an eye for UX/UI with 10+ years of experience
- project managers with development background who speak both tech and non-tech
- QA specialists
- Conversion Rate Optimisation - CRO experts
They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals.
At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxSynapseIndia
Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Bert Blevins
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
Best Practices for Effectively Running dbt in Airflow.pdfTatiana Al-Chueyr
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models.
This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
Webinar given on 9 July 2024
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
1. Introduction
How does it work?
Using boomerang
Data
Boomerang: How fast do users think your site
is?
Philip Tellis / philip@bluesmoon.info
ConFoo.ca/2011 – 2011.03.09-11
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
2. Introduction
How does it work?
Using boomerang
Data
$ finger philip
Philip Tellis
philip@bluesmoon.info
@bluesmoon
geek - paranoid - speedfreak
yahoo
http://bluesmoon.info/
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
3. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
4. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
5. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
6. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
Only 10–20% of page load time is spent on systems we control
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
7. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
It’s what we can’t control that users notice
http://twitter.com/stoyanstefanov/status/43747252317077504
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
8. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
browsers
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
9. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
plugins
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
10. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
OSes
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
11. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
viruses
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
12. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
antiviruses
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
13. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
microwaves
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
14. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
baby monitors
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
15. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
naughty neighbours
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
16. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
file shares
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
17. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
governments
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
18. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
rodents
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
19. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We can’t control
Try simulating all that in the lab!
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
20. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We need to measure real end-user performance
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
21. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
We need to measure real end-user performance from the real
end-user’s perspective
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
22. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
23. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
While this might work, it isn’t necessarily representative
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
24. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
What about JavaScript?
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
25. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
26. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
boomerang is...
A piece of javascript that you add to your web page where it
measures and beacons back to you, the end user’s perceived
performance of your page
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
27. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
How?
<script src="boomerang.js" type="text/javascript">
</script>
<script type="text/javascript">
BOOMR.init({
user_ip: "<network ident>",
beacon_url: "http://mysite.com/beacon.php"
});
</script>
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
28. Introduction Time
How does it work? The adversary
Using boomerang Measure twice
Data boomerang
What does it do?
Measures user’s network throughput and latency to your
server
Measures the current page’s load time
Beacons these results back to your server
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
29. Introduction Latency
How does it work? Bandwidth/Throughput
Using boomerang Load time
Data Accuracy
How does boomerang work?
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
30. Introduction Latency
How does it work? Bandwidth/Throughput
Using boomerang Load time
Data Accuracy
Let’s take that one at a time
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
31. Introduction Latency
How does it work? Bandwidth/Throughput
Using boomerang Load time
Data Accuracy
Measuring latency
Download a 32 byte gif 10 times in sequence
Measure the time to download each
Discard the first measurement because it’s overpriced9
Calculate the arithmetic mean, standard deviation and
margin of error of the rest
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
32. Introduction Latency
How does it work? Bandwidth/Throughput
Using boomerang Load time
Data Accuracy
Measuring throughput
After the latency test is done, we download progressively
larger images
Stop at the first image that times out
Redownload that image a few more times
Calculate the median, standard deviation and margin of
error of the largest image
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
33. Introduction Latency
How does it work? Bandwidth/Throughput
Using boomerang Load time
Data Accuracy
Measuring latency before throughput helps here
Those 10 latency images do a lot to widen the TCP
window size
The bandwidth images make much better use of available
bandwidth
The image we end with makes the best use of bandwidth
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
34. Introduction Latency
How does it work? Bandwidth/Throughput
Using boomerang Load time
Data Accuracy
How do we measure page load time?
In the onbeforeunload event, measure the time and
store it in a cookie
In the onload event, check the cookie, and measure the
difference with the current time
We also make sure that the page that set the cookie is the
referrer of the current page
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
35. Introduction Latency
How does it work? Bandwidth/Throughput
Using boomerang Load time
Data Accuracy
What? Two pages?
Yes, this needs two pages and cookies. If those aren’t
supported, we try to use the WebTiming API10 .
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
36. Introduction Latency
How does it work? Bandwidth/Throughput
Using boomerang Load time
Data Accuracy
How accurate is it?
Latency measurements are very accurate (±1%)
Bandwidth is to an order of magnitude. For bad
connections can be ±30%
Page load time sometimes has outliers, you need
post-filtering
The margin of error tells you how good your data is
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
37. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
Include it on your page
<script src="boomerang.js" type="text/javascript">
</script>
<script type="text/javascript">
BOOMR.init({
user_ip: "<network ident>",
beacon_url: "http://mysite.com/beacon.php"
});
</script>
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
38. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
For most sites, that’s about it
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
39. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
You probably want to do more
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
40. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
Measure more than just load time
<html><head>
<script>
var t_pagestart=new Date().getTime();
</script>
...
<script>
var th=new Date().getTime();
</script>
</head>
<body>
...
<script>
var tj=new Date().getTime();
</script>
... ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
41. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
...
<script src="boomerang.js"></script>
...
var te=new Date().getTime();
BOOMR.plugins.RT.setTimer("t_head", th-t_pagestart).
setTimer("t_body", te-th).
setTimer("t_js", te-tj);
</script></body></html>
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
42. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
This adds the t_head, t_body and t_js fields to the beacon
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
43. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
Loading dynamic content
BOOMR.init({
user_ip: "<network ident>",
beacon_url: "http://mysite.com/beacon.php",
auto_run: false
});
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
44. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
Loading dynamic content
// Just before download starts
BOOMR.plugins.RT.startTimer("t_done");
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
45. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
Loading dynamic content
// Just after download finishes
BOOMR.plugins.RT.done();
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
46. Introduction Basic
How does it work? In-page timers
Using boomerang AJAX
Data
Much more
http://yahoo.github.com/boomerang/doc/howtos/
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
47. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
The beacon
GET request to the beacon URL (response ignored)
All parameters passed in the query string
Extra timers are passed in as a comma separated list in
t_other
before_beacon JavaScript event fired just before the
beacon is sent
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
48. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
What should we do with the data?
Sanity checking to:
Remove fake data
Remove abusive data
Maybe just rate limiting
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
49. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
What can we do with the data?
Statistical analysis to:
Remove outliers
Aggregate based on bandwidth blocks
Measure trends over time and correlate them with code
changes
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
50. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
Bandwidth blocks
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
51. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
Bandwidth blocks
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
52. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
Bandwidth blocks
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
53. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
Bandwidth blocks
Data points from some countries may require narrower bands
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
54. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
Geographic data
Looking at latency from different geographic locations can tell
you where your next mirror should be
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
55. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
ISPs
Grouping data by ISP can tell you who’s behaving badly
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
56. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
More data
Write plugins to get more performance data
We already have a DNS plugin
I’ve just completed a plugin to measure IPv6 support and
latency
What about a full WebTiming plugin?
I’m also looking at measuring connection setup time
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
57. Introduction
shoulda
How does it work?
coulda
Using boomerang
woulda
Data
You decide
Once you have the data, you can do anything with it
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
58. Introduction
How does it work?
Using boomerang
Data
Boomerang: It (almost) always comes back
http://github.com/yahoo/boomerang
http://yahoo.github.com/boomerang/doc/
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
59. Introduction
How does it work?
Using boomerang
Data
Photo credits
flickr.com/photos/21233184@N02/4389412851
http://xkcd.com/445/
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
60. Introduction
How does it work?
Using boomerang
Data
Contact me
Philip Tellis
philip@bluesmoon.info
@bluesmoon
geek - paranoid - speedfreak
yahoo
http://bluesmoon.info/
slideshare.net/bluesmoon
joind.in/talk/view/2913
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
61. Introduction
How does it work?
Using boomerang
Data
References
github.com/yahoo/boomerang
More bandwidth doesn’t matter (much) – Mike Belshe
Analysing Bandwidth & Latency – YUI Blog
It’s the latency, stupid – Stuart Cheshire
The statistics of web performance
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
62. Introduction
How does it work?
Using boomerang
Data
Overpriced images
The first image might require a DNS lookup and TCP
handshake
Slow start is not an issue since 32 bytes fit in 1 packet
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?
63. Introduction
How does it work?
Using boomerang
Data
WebTiming API
JavaScript interface to network timing information including
DNS, TCP connect, download, etc. Supported by:
Microsoft Internet Explorer 9
Google Chrome (WebKit)
W3C specification
ConFoo.ca/2011 – 2011.03.09-11 Boomerang: How fast do users think your site is?