Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Zakia Bouachraoui

News Feed Item

Strangeloop Announces Advanced Web Acceleration Technology for Amazon CloudFront Customers

Web acceleration provider Strangeloop Networks today announced that its advanced acceleration technology is now available as an add-on service for customers using Amazon CloudFront, the Content Delivery Network (CDN) from Amazon Web Services (AWS).

The Strangeloop Site Optimizer is a service, available immediately to Amazon CloudFront customers, which applies front-end optimization (FEO) techniques automatically across websites, resulting in pages that load up to twice as fast for desktop and mobile browsers. Site Optimizer transforms FEO from a complex manual coding process to an automated function performed in real time by an intelligent system.

Combining content delivery with front-end transformation is a natural marriage for site owners who care about delivering the fastest possible user experience to their online customers. While CDNs shorten server round trips, FEO reduces page requests and payload. Combined, the two solutions have a dramatic impact on page load. By itself, a CDN implementation can cut load times by half. Adding the Strangeloop Site Optimizer to the mix typically halves load times yet again.

“We chose Amazon CloudFront because of its ability to offer competitive content delivery compared to other higher-cost CDN services,” said Dan Wacksman, Senior Vice President of Global Distribution, Outrigger Hotels and Resorts, which currently manages, owns and/or operates 45 properties in Hawaii, the greater Pacific region, and Asia. “We chose Strangeloop’s Site Optimizer service because of its proven expertise in the area of front-end optimization. Together, Amazon CloudFront and Strangeloop cut our page load times in half instantly for both mobile and desktop visitors, without requiring any changes to our site or servers.”

“Strangeloop’s Site Optimizer service for front-end optimization (FEO) solution complements the Amazon CloudFront content delivery service,” said Alex Dunlap, Senior Manager of CloudFront, AWS. “Speed of delivery at an affordable cost is a key principle behind Amazon CloudFront. While Amazon CloudFront optimizes low latency delivery of static, dynamic, or streaming content using a global network of edge locations, Strangeloop’s Site Optimizer tackles page performance at the front end, speeding up page rendering in the browser. We are excited that the two services together will help customers offer an even better experience to their end-users while visiting their web applications.”

How Strangeloop’s site optimization technology works

Between 80-85% of end-user response time happens at the front end: front-end problems include too many round trips, too many bytes, poor caching, and poor rendering. Front-end optimization (FEO) optimizes HTML to speed up page rendering, using practices such as compressing images, consolidating resources, rewriting object names, re-ordering when/how objects are rendered, re-ordering when scripts are executed, opening more concurrent browser connections, and leveraging the browser cache.

Site Optimizer optimizes the HTML pages themselves, by rewriting them as needed, in the process creating a number of optimized resources (images/css/javascript/etc.) that the rewritten pages will reference. Amazon CloudFront can be used to deliver all these optimized resources, as the CDN, from locations closest to the actual clients.

“We’re thrilled to be working with the technical team at AWS,” said Jonathan Bixby, CEO, Strangeloop Networks. “As the world’s largest, most secure, most robust cloud service platform they’re in a strategic position to bring advanced front-end optimization to site owners who would otherwise not have access to the aggressive FEO toolset that the current online marketplace demands. We are extremely excited about the opportunity to continue to work with this fantastic platform.”

For more information: www.strangeloopnetworks.com/cloudfront

About Strangeloop Networks

Strangeloop is the leader in providing next-generation front-end optimization (FEO) solutions. Companies like eBay/PayPal, Visa, and Petco have implemented Strangeloop solutions to speed up their websites and enterprise applications. As a result, they’ve achieved dramatic gains in key metrics, increasing sales by up to 22% and growing organic search traffic by up to 10%. As the earliest entrant in the FEO space, Strangeloop was the first company to market an automated solution – the Strangeloop Site Optimizer – with the ability to tackle front-end performance problems as a service via the cloud. The Strangeloop Mobile Site Optimizer is the only advanced optimization solution that addresses the unique challenges of delivering faster sites to mobile users. Strangeloop is based in Vancouver, BC. For more information, visit www.strangeloopnetworks.com.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.