For traditional data center applications, capacity is a fixed upfront cost. Thus, there is little incentive to stop using capacity once it's been allocated, and it has to be overprovisioned most of the time so there is enough capacity for peak loads. When traditional application and operating practices are used in cloud deployments, immediate benefits occur in speed of deployment, automation, and transparency of costs. The next step is a re-architecture of the application to be cloud-native, and significant operating cost reductions can help justify this development work. Cloud-native applications are dynamic and use ephemeral resources that customers are only charged for when the resources are in use. This talk will discuss best practices for cloud-native development, test, and production deployment architectures that turn off unused resources and take full advantage of optimizations such as reserved instances and consolidated billing.
