Couchbase Case Studies Concur's Journey to One Billion Couchbase Operations Per Day

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	Concur's Journey to One Billion Couchbase Operations Per Day Couchbase

Concur's Journey to One Billion Couchbase Operations Per Day

Couchbase

Technology Category	Application Infrastructure & Middleware - Middleware, SDKs & Libraries
Challenge	Concur is a leading provider of integrated travel and expense management solutions for companies of all sizes. As a leading SaaS provider, Concur constantly seeks to improve scalability and performance across their architecture and infrastructure stack especially the database and storage tiers. Initially, Concur utilized a homegrown caching system that turned out to be expensive and complicated to scale. They wanted to replace it with an open source solution that could help laterally scale their application, and provide the resilience and redundancy they needed with simplicity and efficiency. They also wanted the new solution to support their aggressive plans for using NoSQL technology extensively throughout their stack in the future. Read More
About Customer	Concur is a leading provider of integrated travel and expense management solutions. Their cloud services process over $50 billion in travel and expense spend per year for global corporations. Concur was founded in 1993 on the premise of helping to drive Read More
Customer Name	Concur Read More
Solution	Concur implemented a large Couchbase Server cluster, utilizing the Enyim (.NET) client for the web tier and the spymemcached (Java) client for the middle tier. They were impressed with the simplicity with which they could setup, configure and scale the cluster. Couchbase's cluster management capabilities give Concur the ability to scale out their cluster with zero downtime. They also get the added benefit zero configuration management when adding or removing nodes from their cluster because both the .NET and Java clients are automatically updated when there is a topology change, ensuring smooth and consistent growth of the Couchbase cluster across the entire environment. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Middleware, SDKs & Libraries

Challenge

Concur is a leading provider of integrated travel and expense management solutions for companies of all sizes. As a leading SaaS provider, Concur constantly seeks to improve scalability and performance across their architecture and infrastructure stack especially the database and storage tiers.

Initially, Concur utilized a homegrown caching system that turned out to be expensive and complicated to scale. They wanted to replace it with an open source solution that could help laterally scale their application, and provide the resilience and redundancy they needed with simplicity and efficiency. They also wanted the new solution to support their aggressive plans for using NoSQL technology extensively throughout their stack in the future.

About Customer

Concur is a leading provider of integrated travel and expense management solutions. Their cloud services process over $50 billion in travel and expense spend per year for global corporations.

Concur was founded in 1993 on the premise of helping to drive

Customer Name

Concur

Solution

Concur implemented a large Couchbase Server cluster, utilizing the Enyim (.NET) client for the web tier and the spymemcached (Java) client for the middle tier. They were impressed with the simplicity with which they could setup, configure and scale the cluster.

Couchbase's cluster management capabilities give Concur the ability to scale out their cluster with zero downtime. They also get the added benefit zero configuration management when adding or removing nodes from their cluster because both the .NET and Java clients are automatically updated when there is a topology change, ensuring smooth and consistent growth of the Couchbase cluster across the entire environment.

Impact #1	[Efficiency Improvement - IT] Using the recommended reverse proxy setup, there’s just a single IP address for configuring REST connections and monitoring across multiple tiers.

Impact #1

[Efficiency Improvement - IT]
Using the recommended reverse proxy setup, there’s just a single IP address for configuring REST connections and monitoring across multiple tiers.

Benefit #1	With the first phase of the Couchbase project complete, initial tests showed a 20% increase in application performance thanks to Couchbase's low latency and sub-millisecond response times.

Benefit #1

With the first phase of the Couchbase project complete, initial tests showed a 20% increase in application performance thanks to Couchbase's low latency and sub-millisecond response times.

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Overview

Concur's Journey to One Billion Couchbase Operations Per Day

Operational Impact

Quantitative Benefit