Case Studies How to handle >1 billion page views a month cost effectively

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	How to handle >1 billion page views a month cost effectively

How to handle >1 billion page views a month cost effectively

Technology Category	Analytics & Modeling - Real Time Analytics Infrastructure as a Service (IaaS) - Cloud Databases Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries	Software
Applicable Functions	Business Operation
Use Cases	Edge Computing & Edge Intelligence Real-Time Location System (RTLS)
Services	Cloud Planning, Design & Implementation Services System Integration
Challenge	Spot.IM needed to re-imagine its application and infrastructure architecture to ensure minimal latency and deliver extreme responsiveness for its community engagement platform. The platform handles thousands of requests per second and processes over one billion page views a month. The challenge was to achieve this with simplicity and high performance while keeping costs low. Spot.IM's CTO, Ishay Green, aimed to build an architecture that places all services in memory, achieving incredible scale with impressive simplicity. The company projected it would get to 7 billion page views by the end of 2016, necessitating a robust and scalable solution. Read More
About Customer	Spot.IM is an innovative company that provides a next-generation community engagement platform designed to turn website visitors into a community. The platform is used by partners such as Time Inc., Meredith, and LittleThings, generating over one billion page views per month. Spot.IM powers social conversations on leading entertainment and media websites like Entertainment Weekly and LittleThings.com. The company is known for its cutting-edge technology and inventive application platform, which is architected for blazing fast responsiveness and incredible scale. Spot.IM's platform handles thousands of requests per second and processes over one billion page views a month, making it a critical tool for its media and entertainment partners. Read More
Solution	Spot.IM chose Redis as its primary database due to its unparalleled performance and versatility in handling various data processing scenarios with simplicity and low latency. Redis Labs was selected to provide enterprise-grade high availability and easy noiseless scaling for Redis. This choice relieved Spot.IM of any operational effort around managing Redis, allowing the company to focus on its core business. Redis Labs delivered stable, linearly scaling high performance, enabling Spot.IM to handle 400,000 to one million user requests a day at sub-millisecond latencies. As Spot.IM scaled out its architecture, the team turned to Redis on Flash in an AWS VPC environment. This helped optimize the costs of running Spot.IM’s highly demanding application without compromising on responsiveness or performance. With Redis on Flash delivered as Redis Labs Enterprise Cluster (RLEC Flash) on AWS SSD instances, Spot.IM could maintain extremely high throughput at 70% lower costs compared to a pure RAM solution. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Infrastructure as a Service (IaaS) - Cloud Databases

Infrastructure as a Service (IaaS) - Cloud Storage Services

Applicable Industries

Software

Applicable Functions

Business Operation

Use Cases

Edge Computing & Edge Intelligence

Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services

System Integration

Challenge

Spot.IM needed to re-imagine its application and infrastructure architecture to ensure minimal latency and deliver extreme responsiveness for its community engagement platform. The platform handles thousands of requests per second and processes over one billion page views a month. The challenge was to achieve this with simplicity and high performance while keeping costs low. Spot.IM's CTO, Ishay Green, aimed to build an architecture that places all services in memory, achieving incredible scale with impressive simplicity. The company projected it would get to 7 billion page views by the end of 2016, necessitating a robust and scalable solution.

About Customer

Spot.IM is an innovative company that provides a next-generation community engagement platform designed to turn website visitors into a community. The platform is used by partners such as Time Inc., Meredith, and LittleThings, generating over one billion page views per month. Spot.IM powers social conversations on leading entertainment and media websites like Entertainment Weekly and LittleThings.com. The company is known for its cutting-edge technology and inventive application platform, which is architected for blazing fast responsiveness and incredible scale. Spot.IM's platform handles thousands of requests per second and processes over one billion page views a month, making it a critical tool for its media and entertainment partners.

Solution

Spot.IM chose Redis as its primary database due to its unparalleled performance and versatility in handling various data processing scenarios with simplicity and low latency. Redis Labs was selected to provide enterprise-grade high availability and easy noiseless scaling for Redis. This choice relieved Spot.IM of any operational effort around managing Redis, allowing the company to focus on its core business. Redis Labs delivered stable, linearly scaling high performance, enabling Spot.IM to handle 400,000 to one million user requests a day at sub-millisecond latencies. As Spot.IM scaled out its architecture, the team turned to Redis on Flash in an AWS VPC environment. This helped optimize the costs of running Spot.IM’s highly demanding application without compromising on responsiveness or performance. With Redis on Flash delivered as Redis Labs Enterprise Cluster (RLEC Flash) on AWS SSD instances, Spot.IM could maintain extremely high throughput at 70% lower costs compared to a pure RAM solution.

Impact #1	Redis Labs provided stable, linearly scaling high performance, enabling Spot.IM to handle 400,000 to one million user requests a day at sub-millisecond latencies.
Impact #2	The use of Redis on Flash in an AWS VPC environment helped optimize costs without compromising on responsiveness or performance.
Impact #3	Spot.IM's architecture, which places all services in memory, achieved incredible scale with impressive simplicity.

Impact #1

Redis Labs provided stable, linearly scaling high performance, enabling Spot.IM to handle 400,000 to one million user requests a day at sub-millisecond latencies.

Impact #2

The use of Redis on Flash in an AWS VPC environment helped optimize costs without compromising on responsiveness or performance.

Impact #3

Spot.IM's architecture, which places all services in memory, achieved incredible scale with impressive simplicity.

Benefit #1	Spot.IM achieved 70% lower costs compared to a pure RAM solution.
Benefit #2	The platform handles over one billion page views a month.
Benefit #3	Spot.IM projects it will get to 7 billion page views by the end of 2016.

Benefit #1

Spot.IM achieved 70% lower costs compared to a pure RAM solution.

Benefit #2

The platform handles over one billion page views a month.

Benefit #3

Spot.IM projects it will get to 7 billion page views by the end of 2016.

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Overview

How to handle >1 billion page views a month cost effectively

Operational Impact

Quantitative Benefit