Fastly Case Studies Optimizing Online Retail Websites: A Case Study of Yottaa and Fastly

	Optimizing Online Retail Websites: A Case Study of Yottaa and Fastly Fastly

Optimizing Online Retail Websites: A Case Study of Yottaa and Fastly

Fastly

Technology Category	Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Construction & Infrastructure Retail
Applicable Functions	Quality Assurance
Use Cases	Traffic Monitoring Transportation Simulation
Services	System Integration Testing & Certification
Challenge	Yottaa, a SaaS platform designed to optimize enterprise online retail websites, was seeking to deliver faster, better online shopping experiences for brands like Carter’s, Ralph Lauren, Lenovo, and GNC. The platform needed to manage the loading of 3rd party services, improve the way websites serve dynamic content, and collect a massive amount of performance, traffic, and site error data. However, Yottaa faced challenges in maintaining target metrics during peak times, preventing bottlenecks and errors, and providing consistent, smooth experiences regardless of traffic demands. Additionally, Yottaa needed to monitor its own infrastructure performance, including request throughput, bandwidth, and cache hit ratio, to better control costs and leverage partner services. Read More
About Customer	Yottaa is a SaaS platform designed to optimize enterprise online retail websites. It provides deep optimization and analytics that help retailers fine-tune their websites. Some of the biggest global brands run their websites on Yottaa, including Carter’s, Ralph Lauren, Lenovo, and GNC. Yottaa's platform sequences and manages the loading of 3rd party services and uses machine learning to improve the way websites serve dynamic content. It also collects a massive amount of performance, traffic, and site error data that allows the platform to continuously machine learn and improve its optimizations and provide comprehensive analytics for customers. Read More
Solution	Yottaa began using Fastly in early 2019 as part of a multi-CDN architecture. Fastly’s edge compute technology was deeply integrated into the Yottaa platform, giving Yottaa engineers access to the Fastly API, as well as to Fastly’s cache management and data capture capabilities. Fastly’s edge cloud network helped Yottaa maintain their target metrics more easily during peak times by caching and delivering content at the network edge. Fastly also provided robust compression capabilities, faster site flushes, and improved cache hit ratio. Furthermore, Fastly’s real-time log streaming features provided greater visibility into platform performance, enabling Yottaa to make faster, data-driven decisions. Fastly’s real-time alerting and signaling helped Yottaa’s customer success team troubleshoot quickly. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Construction & Infrastructure

Retail

Applicable Functions

Quality Assurance

Use Cases

Traffic Monitoring

Transportation Simulation

Services

System Integration

Testing & Certification

Challenge

Yottaa, a SaaS platform designed to optimize enterprise online retail websites, was seeking to deliver faster, better online shopping experiences for brands like Carter’s, Ralph Lauren, Lenovo, and GNC. The platform needed to manage the loading of 3rd party services, improve the way websites serve dynamic content, and collect a massive amount of performance, traffic, and site error data. However, Yottaa faced challenges in maintaining target metrics during peak times, preventing bottlenecks and errors, and providing consistent, smooth experiences regardless of traffic demands. Additionally, Yottaa needed to monitor its own infrastructure performance, including request throughput, bandwidth, and cache hit ratio, to better control costs and leverage partner services.

About Customer

Yottaa is a SaaS platform designed to optimize enterprise online retail websites. It provides deep optimization and analytics that help retailers fine-tune their websites. Some of the biggest global brands run their websites on Yottaa, including Carter’s, Ralph Lauren, Lenovo, and GNC. Yottaa's platform sequences and manages the loading of 3rd party services and uses machine learning to improve the way websites serve dynamic content. It also collects a massive amount of performance, traffic, and site error data that allows the platform to continuously machine learn and improve its optimizations and provide comprehensive analytics for customers.

Solution

Yottaa began using Fastly in early 2019 as part of a multi-CDN architecture. Fastly’s edge compute technology was deeply integrated into the Yottaa platform, giving Yottaa engineers access to the Fastly API, as well as to Fastly’s cache management and data capture capabilities. Fastly’s edge cloud network helped Yottaa maintain their target metrics more easily during peak times by caching and delivering content at the network edge. Fastly also provided robust compression capabilities, faster site flushes, and improved cache hit ratio. Furthermore, Fastly’s real-time log streaming features provided greater visibility into platform performance, enabling Yottaa to make faster, data-driven decisions. Fastly’s real-time alerting and signaling helped Yottaa’s customer success team troubleshoot quickly.

Impact #1	The integration of Fastly’s edge compute technology into the Yottaa platform resulted in a number of operational benefits. Yottaa was able to deliver consistent, high-quality user experiences, leading to higher conversions and more engaged shoppers. The platform was able to monitor performance data from every customer website and every page load across all devices, browsers, and networks. Anomaly AI detected problems in real-time and the platform resolved issues when they arose. Fastly’s real-time log streaming features provided greater visibility into platform performance and enabled Yottaa to make faster, data-driven decisions. Historical logging provided a broad overview of performance trends and opportunities for optimization. The integration also allowed Yottaa to explore more ways to use Fastly’s edge computing features to improve their customer and technical metrics.

Impact #1

The integration of Fastly’s edge compute technology into the Yottaa platform resulted in a number of operational benefits. Yottaa was able to deliver consistent, high-quality user experiences, leading to higher conversions and more engaged shoppers. The platform was able to monitor performance data from every customer website and every page load across all devices, browsers, and networks. Anomaly AI detected problems in real-time and the platform resolved issues when they arose. Fastly’s real-time log streaming features provided greater visibility into platform performance and enabled Yottaa to make faster, data-driven decisions. Historical logging provided a broad overview of performance trends and opportunities for optimization. The integration also allowed Yottaa to explore more ways to use Fastly’s edge computing features to improve their customer and technical metrics.

Benefit #1	Yottaa saw a noticeable improvement in performance after moving to Fastly.
Benefit #2	Fastly helped Yottaa maintain their target metrics more easily during peak times.
Benefit #3	Fastly’s robust compression capabilities helped Yottaa improve asset size and delivery across the network.

Benefit #1

Yottaa saw a noticeable improvement in performance after moving to Fastly.

Benefit #2

Fastly helped Yottaa maintain their target metrics more easily during peak times.

Benefit #3

Fastly’s robust compression capabilities helped Yottaa improve asset size and delivery across the network.

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Overview

Optimizing Online Retail Websites: A Case Study of Yottaa and Fastly

Operational Impact

Quantitative Benefit