Case Studies > How Pixlee Uses Redis Labs To Serve Top Brands

How Pixlee Uses Redis Labs To Serve Top Brands

Company Size
11-200
Region
  • America
Country
  • United States
Product
  • Redis Enterprise VPC
  • Redis Labs-hosted Memcached
  • Amazon EC2
Tech Stack
  • Redis
  • Memcached
  • PostgreSQL
  • Ruby-on-Rails
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Customer Satisfaction
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Infrastructure as a Service (IaaS) - Cloud Storage Services
  • Infrastructure as a Service (IaaS) - Hybrid Cloud
Applicable Industries
  • E-Commerce
  • Retail
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Predictive Maintenance
  • Real-Time Location System (RTLS)
  • Remote Asset Management
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
  • Testing & Certification
About The Customer
Pixlee is a Personalized Visual Marketing SaaS platform that helps brands navigate the user-generated world by leveraging photos and data. The platform collects relevant content through contextual information like hashtags and turns user-generated photos into high-quality content. Pixlee curates and repurposes these images, identifying the highest performing content for various use cases, enabling brands to achieve authentic interactions with consumers. This increases engagement, loyalty, and conversion rates. Pixlee serves a variety of clients, including large E-commerce companies and retail brands, with notable customers such as Sony Playstation, 1-800-Flowers, and Coca-Cola.
The Challenge
Pixlee faced several challenges as they grew, including the need for a solid Redis and Memcached host, keeping up with the fast pace of growth, and maintaining quality performance and high availability. Initially, Pixlee's complex environment, which included Redis running on an Amazon EC2 server and Memcached on a simple Heroku add-on, led to operational challenges such as request timeouts. The company needed more reliable hosted solutions to delegate operational efforts and focus on core application development. Additionally, Pixlee had to serve a multitude of content climates due to their use on client sites, which required a scalable and performant solution to handle exponential growth. Lastly, Pixlee needed to ensure high availability and quality performance despite their clients operating from various locations and using different hosting services.
The Solution
To address their challenges, Pixlee moved to Redis Labs for a quality solution that could support both Redis and Memcached clouds. Redis Labs-hosted Memcached is used to cache data for high-traffic sites, while Redis is used for real-time counting and queueing. Redis Labs' support for binary Memcached with SASL, essential for Pixlee's service authentication, allowed Pixlee to trust Redis Labs with their in-memory database operations. This enabled Pixlee to focus on their core capabilities. Redis Labs also provided a scalable platform to accommodate Pixlee's growth, ensuring smooth scaling and optimal caching for high-traffic websites. Their top-notch monitoring facilitated uninterrupted scaling and performance. Additionally, Redis Labs' multi-zone support and uptime maintenance capabilities ensured high availability and minimized latency by keeping the cache close to clients' sites. This approach reduced performance issues and availability concerns, eliminating the risk of downtime.
Operational Impact
  • Pixlee was able to delegate operational efforts to Redis Labs, allowing them to focus on core application development.
  • Redis Labs' scalable platform enabled Pixlee to handle exponential growth and high-traffic websites smoothly.
  • The multi-zone support and uptime maintenance capabilities provided by Redis Labs ensured high availability and minimized latency, reducing performance issues and availability concerns.
Quantitative Benefit
  • Zero downtime since deployment.
  • Sub-millisecond latency, averaging less than .96 milliseconds even at peak traffic times.

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