Revolutions are usually led by challengers, not incumbents. But Cisco’s Nov. 6th mega-launch of Application Centric Infrastructure (ACI) is sounding revolutionary as described by some experienced industry watchers. Any revolution must transform the experience of its participants – in this case , the Application development teams, DevOps and CloudOps that are provisioning new applications in many mid-to-large Enterprise Data Centers. As John Chambers said at Interop “The ability to create an infrastructure that is agile, simplified, automatically programmable and able to scale on demand is critical to enabling the application model”. In this blog, we’ll zoom in on “Agility” as an experience.
The growing agility gap
In the last decade, Cisco and other equipment providers have greatly improved the agility of data center infrastructure – the ability to respond quickly to new demands for scale, performance and security. Technologies such as a unified fabric, virtualization and infrastructure controllers augmented by intelligent Automation and Governance have greatly simplified the management of the infrastructure.
But there is strong evidence that the demand for agility is increasing even faster – creating a growing agility gap.
Compared to traditional backoffice applications, new Mobile, Social and Big Data applications are much more dynamic due multi-tenancy, higher demand peaks, more distributed users, broader device support, varying performance needs, 24×7 global usage, and changing security vulnerabilities. Furthermore, to run economically at scale with performance and availability, these applications need a mix of virtualized and dedicated, “bare-metal” resources. And the reality is that only 40% of workloads are virtualized anyway in most enterprise data centers.
These factors are driving more distributed workloads and storage across the data center, more frequent changes to ports, LANs and subnets, more re-configurations of security and load-balancing, more application and flow optimizations and more monitoring and diagnostics to ensure application metrics.
Data center teams are getting overwhelmed. IDC’s 2011 research showed that total Data Center spend has shifted to these type of management and administration tasks – and that was just for virtualized servers. New bare metal workloads will increase this spend further as they move to scale, unless something is done.