With the public cloud adoption increasing year over year, companies will spend nearly $121.6 billion in IaaS (Infrastructure as a Service) in 2022 from AWS, Azure, Google, and other cloud service providers.
To put that into context, that is the market capitalization of PayPal ($120.8 billion) or Boeing ($121.86 billion).
As teams lift and shift or develop new applications in the cloud, they rarely pay attention to costs. What they want is to sleep well at night – and if that takes overprovisioning, then so be it.
But these teams are missing out on one decisive way to deliver a high level of performance and reduce costs at the same time: automated optimization.
Let’s take a closer look at how the tech industry approaches the cloud waste problem and what lessons we can all learn from that.