The public cloud has unleashed an unprecedented wave of creativity and agility for the modern enterprise. A great cloud migration has upended decades of established architecture patterns, operating principles, and governance models. However, without any replacement for these traditional controls in place, cloud spend inevitably rises faster than anticipated. If not addressed early in the cycle, this is often overlooked until it gets out of control.
Over the course of a few decades, we have created a well-established model of IT spending; to arrive at economies of scale, procurement is centralized and typically happens at threeto five-year intervals, with all internal customers forecasting and pooling their needs. This created a natural tendency for individual project owners to overprovision resources as insurance against unexpected demand. As a result, the corporate data center today is where the two famous laws of technology meet: Moore’s Law ensures that capacity increases to meet demand; Parkinson’s Law ensures that demand rises to meet capacity.
With its granular and short-term billing cycles, the cloud requires a degree of financial discipline that is unfamiliar to most traditional IT departments. Faced with having to provide short-term forecasts and justify them against actual spend, they need to evolve their governance models to support these new patterns.
With a large menu of services and options that can be combined in hundreds of millions of ways, Amazon Web Services (AWS) offers a rich array of options—from replicating your existing data center in the cloud, all the way to complete refactoring to achieve a cloud-native stack.
This eBook provides 10 strategies to help you choose among alternatives, streamline your operations in AWS, and continuously optimize your deployment to take advantage of best practices and available arbitrage opportunities within these hundreds of millions of combinations.