The rapid pace of change in data and business requirements is the biggest challenge when deploying a large scale cloud. It is no longer acceptable to spend years designing infrastructure and developing applications capable to cope with data and users at scale. Applications need to be developed in a much more agile manner, but in such a way that allows dynamic reallocation of infrastructure to meet changing requirements.
Choosing an architecture that can scale is critical. Traditional “scale-up” technologies are too expensive and can ultimately limit growth as data volumes grow. Trying to accommodate data growth without proper architectural design, results in un-needed infrastructure complexity and cost.
The most challenging task for the cloud operator in a modern cloud data center supporting thousands or even hundreds-of-thousands of hosts is scaling and automating network services. Fortunately, server virtualization has enabled automation of routine tasks – reducing the cost and time required to deploy a new application from weeks to minutes. Yet, reconfiguring the network for a new or migrated virtual workload can take days and cost thousands of dollars.
To solve these problems, you need to think differently about your data center strategy. Here are three technology innovations that will help data center architects design a more efficient and cost-effective cloud:
1. Overlay Networks
Overlay network technologies such as VXLAN and NVGRE, make the network as agile and dynamic as other parts of the cloud infrastructure. These technologies enable automated network segment provisioning for cloud workloads, resulting in a dramatic increase in cloud resource utilization.
Overlay networks provide for ultimate network flexibility and scalability and the possibility to:
- Combine workloads within pods
- Move workloads across L2 domains and L3 boundaries easily and seamlessly
- Integrate advanced firewall appliances and network security platform seamlessly