1. Global Reach and Resources of Azure Strengthen Continual Transformation Environment Products
“Our Microsoft partnership provided a robust platform on Azure and a global reach through their datacenters. The partnership has given us access to enterprise customers and played a pivotal role in achieving our business goals.” – Siddhartha Chandurkar, founder & CEO, ShepHertz
SITUATION
With a customer base of more than 42,000 across 150 countries and processing of more than 40 billion API calls, ShepHertz needed to host their solutions on robust and scalable servers that required minimum service and maximum efficiency. The ever-growing demand made it necessary to look for a cloud partner that would ensure maximum resource utilization on an increasing workload.
MICROSOFT AZURE ISV:
ShepHertz
WEB SITE:
LOCATION: India and USA
ORG SIZE: About 50 employees
MICROSOFT AZURE ISV PROFILE:
ShepHertz offers a Continual Transformation Environment to build omnichannel apps for developers, app studios and enterprises. The products include a powerful backend for building apps without investing extra money in traditional enterprise mobility platforms, a comprehensive API Management tool and a marketing solution that helps apps grow through user acquisition, engagement, retention, and conversion.
SOLUTION
Microsoft Azure, having the largest set of datacenter locations across the world, has enabled ShepHertz to expand its reach to serve customers in 150 countries. The ShepHertz App42 product line requires multiple infrastructure resources: Azure Virtual Machines for various operating systems, Azure Redis Cache, load balancers, Azure Content Delivery Network, Azure Machine Learning/AI to deploy its platform for its multitenant as well as dedicated setup hosting models. Microsoft Azure provides a one-stop-shop solution for all infrastructure needs with scalability, reliability, and robustness.
BENEFITS
Microsoft Azure delivers strong support for technical and sales issues for ShepHertz.
ShepHertz’s new Prediction Analysis solution uses Azure Machine Learning to help it forecast users’ next moves.