Case Studies > Accelerating Online Shoppers Globally with Scalable Load Balancing

Accelerating Online Shoppers Globally with Scalable Load Balancing

Company Size
1,000+
Region
  • America
  • Europe
Country
  • France
  • Germany
  • United Kingdom
  • United States
Product
  • A10 ADC
  • Juniper DX
  • aFleX Layer 7 scripting engine
  • A10 Networks aVCS Virtual Chassis System
Tech Stack
  • Layer 7 requests
  • Virtual IP (VIP)
  • 64-bit Advanced Core Operating System (ACOS)
  • multi-tenancy
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Customer Satisfaction
  • Energy Saving
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Functional Applications - Remote Monitoring & Control Systems
  • Networks & Connectivity - Network Management & Analysis Software
Applicable Industries
  • E-Commerce
  • Retail
Applicable Functions
  • Business Operation
  • Sales & Marketing
Services
  • Cloud Planning, Design & Implementation Services
  • Software Design & Engineering Services
  • System Integration
About The Customer
Shopzilla® is dedicated to helping shoppers around the world compare and find the right price on millions of products from thousands of stores. Shopzilla properties also include the renowned BizRate.com® consumer feedback network, which collects more than one million merchant and product reviews with ratings each month. Based in Los Angeles, Shopzilla has sites in the US, United Kingdom, France, and Germany. The company is owned by Scripps Networks Interactive Inc. (NYSE: SNI), which includes national lifestyle TV networks such as HGTV, The Food Network, Fine Living, and more.
The Challenge
With multiple data centers throughout the US and Europe, 20 million unique visitors a month, and 50,000 – 70,000 concurrent users at any given time, Shopzilla relies upon best-of-breed server load balancing solutions to remain competitive in the eCommerce market. Low latency and the capacity for a high volume of simultaneous connections are critical to handling peak loads, especially during the holiday season when traffic spikes dramatically. Predicted traffic growth signaled a need for additional load balancer capacity, so Shopzilla required an alternative to the installed Juniper DXs, which had reached end of life.
The Solution
A10 Networks® ADCs’ server load balancers were selected as they addressed both the low latency and high simultaneous connection requirements. Shopzilla chose A10 ADCs to replace the existing Juniper DX devices. Standardizing on the high-performance A10 ADC platform reduces the amount of required load balancers in Shopzilla’s data centers by consolidating the legacy solutions at a ratio of 3 to 1. Through data center consolidation with A10 ADCs, Shopzilla streamlines deployment and reduces administrative overhead, rack space, and power consumption, while increasing efficiency and return on investment (ROI). The A10 ADC has the flexibility to redirect traffic due to a network anomaly and/or utilization threshold, or to send traffic to an alternative destination based on a criteria policy. Shopzilla uses redundant multi-tier networks in each data center, accompanied with the A10 ADC for content load balancing. With the A10 ADC, content is distributed based on traffic levels in each geographic region. This design minimizes latency to the end user due to A10 ADCs’ optimized application acceleration features combined with purpose-built hardware.
Operational Impact
  • Shopzilla has reduced costs, accelerated the user experience, and ensured a scalable solution for significant future growth.
  • The A10 ADC represents a new generation of affordable, enterprise-grade server load balancing appliances delivering a significant price/performance advantage over the competing and incumbent solutions.
  • Shopzilla benefits from the ability to work with A10 on designing new feature sets to continually increase the customer experience and reduce costs.
  • The A10 service and support experience proved far superior to experiences with competitors.
Quantitative Benefit
  • Three-to-one consolidation of load balancers.
  • 20 million unique visitors a month.
  • 50,000 – 70,000 concurrent users at any given time.

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