Companies choose to deploy Eucalyptus clouds for a large number of reasons, including but not limited to:
- IT consolidation,
- software development and testing,
- remote desktop hosting,
- high performance computing (HPC), big data, and analytics,
- "cloud bursting" web and other dynamic, loosely coupled applications,
- business continuity / disaster recovery (BC / DR), and
- storage as a service.
In this post, we'll take a look at IT consolidation.
Eucalyptus clouds increases resource utilization and diminishes administrative overhead in a number of meaningful ways:
- Instead of being stranded and underutilized in isolated silos, all information processing resources become part of a global cloud. From the perspective of consumers of the cloud resources it appears as if they’re all in one data center.
- Physical hardware and storage are decoupled from critical business logic. This removes dependencies on these assets, which means that deploying a new application or on-boarding a new customer no longer necessarily means buying additional storage or hardware or tedious policy configurations.
- Administrators are free to provision resources for consumers without needing to tell them where they are, even if those assets are located in disparate data centers all over the world. This significantly increases resource utilization yet doesn’t require additional administrators.
- Efficient Quality of Service (QoS) and service differentiation, along with accounting, charge-back and metering provided by the Eucalyptus platform ensures that the flexibility of the Eucalyptus layer seamlessly dovetails into service providers’ business logic and analytics.
All of these advantages help transform the role of IT into a true service broker. Instead of being tasked with furnishing and maintaining individual servers, it’s now possible to supply cost-effective utility-style computing backed by solid Service Level Agreements (SLA). This not only means that an IT group can service more customers with the same physical hardware resources, but also service more customers with the same IT human resources.
In the next post, we'll take a look at Software Dev/Test and HPC, Big Data, and Analytics.