Amp it UP! Using Google Accelerated Mobile Pages with WordPress - WordCamp Ann Arbor 2016

Oct 15, 2016Download as PPTX, PDF1 like1,553 views

Google is pushing Accelerated Mobile Pages (AMP) in a big way. AMP pages restrict what you can do all for the sake of performance on mobile devices. In this talk we’ll cover the basics of AMP, how it’s different than mobile-ready and responsive design, and the plugins you’ll need to take advantage of AMP on your WordPress site.

Amp it UP! Using Google Accelerated Mobile Pages with WordPress - WordCamp Ann Arbor 2016

2.2Mb
22 JavaScript Files (363kb)
8 CSS files (75k)
18 Different Resource Domains
101 Total HTTP Requests
Average Web Page (2015)
https://www.sitepoint.com/average-page-weight-increased-another-16-2015/

More than
40% of users
will abandon a
website that
takes more
than 3 seconds
to load
3 Second Rule:

“AMP is a way to
build web pages for
static content that
render fast”
Google Says...

“We found that AMP pages
load four times faster,
and use eight times less
data than traditional
mobile optimized pages”
AMP in Action
Jon Parise (Product Engineer, Pinterest)

“After the successful
rollout of AMP for
news sites, it is now
ready for more.”
Beyond Publishers
Rudy Galfi (AMP Team Product Manager, Google)

600 million AMP Pages
700,000 Domains
100+ Languages
AMP in Google Index

John Mueller
Webmaster Trends Analyst at Google

75% Aware of AMP
18% Have Researched AMP Deeply
23% Currently Implementing AMP
49% Expect AMP to have significant
effect on Page Rankings
SEO Professionals Survey
http://www.link-assistant.com/news/amp-survey.html

AMP HTML Components
amp-ad
amp-img
amp-video
amp-audio
amp-pixel
amp-video
amp-carousel
amp-lightbox
amp-anim
amp-iframe
amp-instagram
amp-twitter
amp-youtube
amp-accordian

External
resources must
define static
dimensions

• Can modify template/CSS
• Use custom template
• Apply to custom post types
• AMP hooks and filters
AMP Plugin Customizations

https://fewerthanthree.com/tutorial/customizing-google-amp-for-wordpress/

https://deliciousbrains.com/amp-wordpress-google-accelerated-mobile-pages/

Iniative being pushed by Google
Loads pages fast on mobile devices
Does not replace responsive design
Restricts HTML, CSS & JavaScript
Install the AMP Plugin and experiment
What We Learned About AMP

About Me
Mike Hale
Developer
Rainmaker Digital
@MikeHale
www.mikehale.me

We have heard about AMP pages, Facebook Instant Articles and even Apple News, so what dose this all mean? We go through the deck I presented at Web Analytics Wednesday's on the current issues with Ad Blocking and Mobile Speed issues that leads us to AMP. Learn how to get started with AMP and learn how to integrate with Analytics platforms like Google Analytics and Adobe Marketing Cloud in its infant stages. Any questions feel free to contact me on LinkedIn

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Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup

In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals. This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft. What You’ll Learn in Part 2: Explore real-world nonprofit use cases and success stories. Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!

Exploring Wayland: A Modern Display Server for the FutureICS

Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot

Exploring Code Comprehension in Scientific Programming: Preliminary Insight...University of Hawai‘i at Mānoa

This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software. Presented at: The 33rd International Conference on Program Comprehension (ICPC '25) Date of Conference: April 2025 Conference Location: Ottawa, Ontario, Canada Preprint: https://arxiv.org/abs/2501.10037

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Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri

AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions

Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell

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Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.Dele Amefo

How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers

Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach. Read More:- https://www.esofttools.com/nsf-to-pst-converter.html

Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak

As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.

Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi

How to Optimize Your AWS Environment for Improved Cloud PerformanceThousandEyes

How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik

This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements. Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows. We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure. The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.

Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185

GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise. https://arxiv.org/abs/2501.16495

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