A multi-cloud approach is a combination of different cloud services supplied by more than one cloud provider. These cloud providers could be public clouds like AWS, Azure, or Google as well as private clouds built on VMware.
Enterprises look to multi-cloud strategies to improve business resilience, access the leading capabilities regardless of vendor, and to eliminate cloud vendor lock-in.
When developing a multi-cloud strategy, companies should consider:
- Santhosh Rao, Sr Director Analyst at Gartner
Use the top capabilities from each cloud to mine and analyze the petabytes of social feeds, news, and stock data that influence markets. Enjoy low-latency and high scalability.
AWS has been offering infrastructure as a service since 2008 and currently holds the largest market share of the hyperscale cloud providers. AWS offers an impressive collection of services across analytics, compute, storage, database, adn developer tools.
Rapidly extend your VMware environments to AWS. VMware Cloud on AWS is the perfect stepping stone to the cloud - both for your primary cloud service and as part of a multi-cloud strategy. Use AWS-native services in the cloud and consistent management tools between your on-prem VMware data center and the cloud. Learn more about getting started with VMware Cloud on AWS with our cheat sheet.
Azure rounds out enterprise computing capabilities for organizations with a strong Microsoft preference. Azure holds the most market share after AWS. Faction has partnered with Dell Technologies to combine the benefits of compute and processing services in the cloud with the unmatched scalability, performance and efficiency of Faction CCVs on Dell storage hardware, while maintaining control and security of their data. This service delivers a higher bandwidth (up to 200 Gbps), lower latency connection (as low as 1.2 ms) to the Microsoft Azure cloud using Azure ExpressRoute Local. There are also no outbound data traffic costs for data written to Dell Isilon from within Azure.
Google Cloud has invested in containers (Kubernetes) and open source technologies. Launch virtual machines on demand and scale up when you need with Google Compute Engine. Its AI Platform provides an integrated toolchain for developers with access to its popular and powerful Tensorflow, TPUs, and TFX tools.
Private cloud is a cloud architecture that is dedicated to a single organization. Like public cloud, it’s scalable and allows companies to add compute and storage resources on demand. Private clouds can be combined with one or more public clouds for a hybrid and multi-cloud approach that puts your workloads where they fit best to take advantage of different data sovereignty needs and cloud capabilities.