Five Key Challenges of Enterprise Cloud Computing

In the past month or so I have talked to a lot of people in the cloud computing and virtualization space. Many of these folks are working at/on startups that solves one of the many challenges for Enterprise cloud computing. What are these challenges? I have tried to summarize them here (in no particular order).

Data Governance

I’ve written extensively about the need for data governance in previous posts. In essence, enterprises have a ton of sensitive data that requires access monitoring and protection. Data (and information generated from the data) is the life blood of many enterprises, the loss of control will not be acceptable. Whole markets (read: DLP) are created to protect the enterprise data and information. On top of all that, enterprises must comply with many of the regulations that require data governance. By moving the data into the cloud, enterprise, for now, will lose some capabilities to govern their own data set. They would have to rely on the service providers to guarantee the safety of their data.
I hate to invoke the ILM acronym but much of data governance is about

• Creation and Receipt
• Distribution
• Use
• Maintenance
• Disposition

So who’s tackling this problem? As far as I know, nobody is and nobody really can except for the service providers themselves. It is really up to the service providers such as Amazon, Google and Salesforce to provide guarantees that customer data are safe and access to data are restricted and protected.

Manageability

There are some great IaaS/PaaS out there, including Amazon’s web services (S3, EC2, EBS, etc), Google’s App Engine, Salesforce’s Force.com, Joyent, etc. However, most of these are raw infrastructures and platforms that do not have great management capabilities. This is not unusual. Throughout computing history, raw capabilities will generally appear on the market first, then management of these raw capabilities become a differentiator when competition heats up. Just look at the blade server and virtualization spaces as these are great examples of that trend. The hypervisor was the key technology that enabled enterprise virtualization; however, that piece is now being given away (see VMware’s ESXi) and management capabilities becomes the main differentiator.
Cloud computing is no different. An example of missing management capabilities for cloud infrastructures is auto-scaling. Amazon EC2 claims to be elastic; however, it really means that it has the potential to be elastic. Amazon EC2 will not automatically scale your application as your server becomes heavily loaded. It is still up to the developer to manage that scalability problem.
So who’s tackling this problem? Many startups have recognized the need for management early on and have built management capabilities on top of the existing cloud infrastructure/platforms. RightScale is one of the early pioneers in this space. Their solution solves many of the management issues such as auto-scaling and load balancing.

Monitoring

http://www.sys-con.com/