CASE STUDIES
AWS CLOUD MIGRATION
AWS CLOUD MIGRATION
Army Intelligence System
PROBLEM
The US Army’s primary airborne Communication Intelligence (COMINT) platform is a fleet of RC-12N aircraft whose mission is to fly over the theater of operation and gather voice and digital communication intelligence. This classified platform was suffering from aging compute systems, outdated network interconnects, and a software architecture that made major feature and capability enhancements difficult, lengthy, and expensive.
-
The Army’s planned successor COMINT platform was delayed by 10 years due to design and funding issues.
-
The current platform needed to be modernized and its surveillance capabilities upgraded to support the COMINT mission for an additional 10-15 years.
IOT-ENABLED CONSUMER APPLIANCES
IoT-ENABLED
Consumer Appliances
PROBLEM
-
Client’s legacy line of consumer appliances is extremely successful but recently losing market share, jeopardizing market leadership
-
Competitors are making inroads through more advanced technology, fast-moving innovation and cost competitiveness
-
Client faces increasing competition at both the high end and the low end of the market
-
Client has the financial resources to build on their technical capabilities and is continuing to do this, but the clock is ticking, and time is running out
AWS CLOUD COMPUTING
AWS CLOUD COMPUTING
Biotech Startup
PROBLEM
-
Client is a cutting edge biotech startup that develops novel DNA sequencing technologies. They have an innovative DNA sequencing solution utilizing Next Generation Sequencing (NGS) platforms.
-
The client has expertise in developing bioinformatics data analysis pipelines, but lacks the software design and development expertise to bring create a product from their innovative process.
-
The NGS platform and bioinformatics software generates a large number of data sets with a large volume of data in each set. This ‘big data’ problem requires a very significant amount of computing resources to process and analyze.
-
The computing workloads required by the client’s process have unpredictable resource requirements for various proof of concept projects that are required to design, build, and test the DNS sequencing product.
-
The client is unwilling to raise and commit the upfront capital investment required to build out their own computational hardware and software robust enough to develop the product.
