This week we announced our partnership with Amazon Web Services (AWS) to move our entire infrastructure to the cloud. Gogo has already migrated the vast majority of its commercial and business aviation divisions to AWS and is leveraging a range of AWS services, including analytics, serverless, database, and storage to improve our inflight internet and entertainment experiences for our airline customers and their millions of passengers.
With AWS, Gogo is able to double the number of airlines it can support without increasing the size of its workforce and take an idea from concept to production much faster. By moving business-critical databases, including payments, orders, user management, and backend services off legacy databases to Amazon Aurora, Gogo lowered its operational overhead and gained the speed and availability of a commercial database with the simplicity and cost-effectiveness of open source.
Ravi Balwada, Senior Vice President of Software Development at Gogo explains, “We chose AWS because it is the most sophisticated and mature cloud in the industry. The change in velocity that we experienced moving from our on-premises environment to AWS has been phenomenal. By operating and innovating on AWS, we’ve been able to nearly eliminate customer-impacting incidents related to ground-based deployments and increase our deployment cadence sevenfold. And, our database change has made operating at scale much easier and more cost effective.”
Gogo relies on AWS to deploy and develop applications faster, expand globally, and achieve higher availability of its core services
Gogo uses AWS Media Elemental Live video processing and delivery to provide the consistency and low latency required for our Gogo TV and Gogo Vision products on board more than 2,500 commercial aircraft at 30,000 feet. Gogo has reduced its ongoing costs by one-third by running its backend data warehousing and analytics on AWS, creating a data lake using Amazon Simple Storage Service (Amazon S3) for storing and analyzing inflight data. The data is enriched and analyzed using Amazon EMR, Amazon Redshift, and Amazon Athena, helping Gogo gain visibility across its network to uncover and solve pain points for customers, and drive higher customer adoption of internet and entertainment services while in flight.
Moving forward, Gogo expects to leverage AWS’s machine learning services to gain deeper insights that will enhance decision making around the inflight customer experience.