Elastic Scaling of APIs in the Cloud

As an Enterprise Architect for Intel IT, I worked with IT Engineering and our Software and Services group on the elastic scaling of the APIs that power the Intel AppUp® center. Our goal was to scale our APIs to at least 10x our baseline capacity (measured in transactions per second) by moving them to our private cloud, and ultimately to be able to connect to a public cloud provider for additional availability and scalability. Here’s a quick set of practices we used to achieve our goal:
Virtualize everything. This may seem obvious and is probably a no-op for new APIs, but in our case we were using a bare-metal installs at our gateway and database layers (the API servers themselves were already running as VMs). While our gateway hardware appliance had very good scalability, we knew we were ultimately targeting the public cloud and that our need for dynamic scaling could exceed our ability to add new physical servers. Using a gateway that scales in pure software virtual machines without the need for special purpose-built hardware helped us achieve our goal here.

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