Explore the challenges and opportunities of the transformational datacenter with Carpathia Hostings’ Jon Greaves, CTO and author of e-Book, "Datacenter of the Future”

In the 60s and 70s, it was commonplace for companies to use computer resources from a Service Bureau – like IBM, Tymshare and GE - whereby it sold time or computing services on a single mainframe. Commonly known as “timesharing”, this eventually gave way to client-server computing as users looked for richer graphical interfaces and realized the economics of moving to much smaller servers, costing significantly less than mainframes.

That was then. Fast forward to today’s datacenter.

With the advances of virtualization technology now providing the equivalent of time-sharing not only for computing resources, but for storage and networking, we see the re-emergence of the Service Bureau model as Software as a Service, or SaaS – publishing applications in much the same way as the original Service Bureau.

Chapter 1: Security, Privacy and Risk Management

As workloads inside the datacenter change, a customer’s ability to leverage shared cloud services will force them to rethink how security and privacy is managed. Today, we think of security as managing risk for a set of infrastructure which may include some virtualization within a location. However, as workloads become portable, this changes dramatically.

Chapter 2: Monitoring, Management & Service Frameworks

 Monitoring systems deployed in today’s datacenter are based on node level monitoring, meaning any alarm generated by the node equates to a physical piece of infrastructure. With the advances in highly virtualized environments, it becomes critical to provide correlation to virtual machines and physical infrastructure, thereby providing business value delivered by the infrastructure.

Chapter 3: Datacenter Optimization Services – COMING SOON!

In the past, managed hosting services focused on basic operations management of network, storage and servers. There is an increased demand for a set of optimization services that allow customers to take full advantage of new capabilities and delivery models. As such, these services need to be delivered in much the same way as the infrastructure “on demand".