09
CASE STUDY
CLIENT : USA-based robotics and Internet of Things (IoT) firm
Privacy and security of IoT data is a critical priority for
manufacturing
businesses
Therefore, our client deploys their application on each of their
customers’ own
cloud
infrastructure
However, the customers use a range of different cloud service providers (CSPs)
Our client’s existing application for capturing and analyzing metrics from IoT equipment was built for Amazon Web Services (AWS) and Microsoft Azure
This meant delays or lost opportunities in partnering customers who use other cloud platforms - especially Google Cloud
fiber_manual_record Migration of an existing IoT application from AWS and Azure to also function on Google Cloud
Google Cloud is the third largest cloud platform by market share and represents 9% of the total market
Not catering to businesses that use Google Cloud means leaving a significant (and fast-growing) section of the market untapped
The existing application was already built for AWS and Azure - but the services used
on
these platforms are different
from the services on
Google Cloud
A 15-member team worked on this application migration project
The team included Google Cloud-certified cloud architects and engineers
New services were created to adapt the application to the Google Cloud environment
Key Google Cloud services used included Cloud PubSub, Dataflow, Cloud Storage, Data Link, Apigee, and Cloud Armor to name a few
SaaS tools used included MongoDB, Node4J, and Redis among others
The architecture chosen for this particular application took careful consideration of the business requirements and constraints detailed by the client.
A hybrid environment was created across the three biggest CSPs, covering over two-thirds of the total market
This resulted in an increase in the addressable customer base by over 15%
The GCP-based app also addresses new customers who are not yet on the cloud but would prefer to use Google Cloud as a more cost-effective platform
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