The most expensive price: transitional supply

What is the most expensive price for enterprise architects and IT professionals to run on their IT infrastructure in a PaaS or IaaS-based cloud, such as the Amazon Web Services (AWS) cloud? According to Cloudability's chief operating officer, Pete Adams, the problem is purchasing paradox: those who manage the operations do not buy more, just buy less.

The harm of over-supply

What is a DevOps team buying too much? Very simple, they often buy too much cloud computing power. "People over-supply infrastructure and only buy it when they need it, but the cloud allows you to scale up infrastructure automatically when you need it," Adams said. This is an old habit that is hard to get rid of, and historically IT departments have to create systems large enough to handle peak demand. But that's not how you provide the essentials in the cloud. In the cloud, your product is on demand and allows cloud vendors to cope with the occasional surge. "Over-provisioning is a cost that you do not have to incur," he said.

Optimistic Treat Elastic Computing Cloud Retention Instance

What are the other expensive errors that most AWS customers cause? The second error is that people are a bit slow when purchasing a reserved instance, which is Amazon's low infrastructure cost per hour in exchange for prepayment, Adams said. Buying a reserved instance but refusing to pull the trigger is not Amazon's only fill, but it touches the bottom line of many AWS customers.

So why no more people buy retention instances? This is because finding what type of Reserved Instances to purchase is tiring and fears they may make mistakes, generating more costs than saving them. "There are over 2,000 different types of retention instances available for purchase, depending on the type of instance, the region you are buying, and the operating system that each has a different breakeven point," Adams said. As more and more parameters are chosen to preserve the instance properly, many organizations simply choose not to go to the decision to prevent making bad decisions.