Cisco and CA Technologies have been solution partners for years integrating CA IT management solutions with Cisco Data Center and cloud infrastructure. On Jan. 27th, at CiscoLive Milan, the two companies will demonstrate the next generation data center – highlighting synergies in DevOps automation and Unified Infrastructure management. Why is this, a turning point in IT evolution?
In a recent blog, I talked about the growing agility gap in mid-to-large data centers – that in spite of a decade of unified fabrics, virtualized services and controller abstractions, the demands for scale, performance and security are growing faster than IT can satisfy them. This is due to new mobile, social and Big-Data applications that are much more dynamic due to multi-tenancy, higher demand peaks, more distributed users, broader device support, varying performance needs, 24×7 global usage, and changing security vulnerabilities.
I also said that while the evidence of the agility gap is showing up in ballooning network reconfigurations (such as ports, VLANs, subnets, security services, load-balancing, flow optimizations, monitoring), the solution lies in accelerating DevOps – the relatively new discipline of translating dynamic application and tenant needs into an optimal data center topology – and not just in a controller based programming.
CA Technologies is now showing that DevOps processes can be accelerated by orders of magnitude using Cisco Application Centric Infrastructure (ACI). This is resulting in application optimized infrastructure, much lower TCO and faster time to new services.
DevOps, the frontline in closing the agility gap
DevOps evolved from the need of global enterprises to meet competitive application demands with “continuous application delivery.” Financial services, Healthcare, Hospitality and Retail are among the sectors for whom the frequency of application changes have shrunk from 18 months, to daily and even multiple times a day!
Drivers include mobile apps that need continuous enhancements, cloud scaling, Big-Data and the use of Agile Methodology where major code changes occur in weekly or daily “sprints.” DevOps brings continuous integration and operational processes to allow several Developer, Quality Assurance and Application-production teams to collaborate to improve agility of application deployments.