To explain how cost anomaly detection works in AWS, let’s first look at an analogy. Imagine you strategically propagate, cultivate, harvest, and replenish trees for a thriving forest products company. In keeping with your eco-friendly policy, you only harvest the trees with straight and tall trunks. You leave irregularly shaped trees alone. Your company doesn’t harvest trees you won't use.

Managing technology isn't your only responsibility as a CTO. You could be the CIO, Digital Enabler, Data Officer, and Engineering Leader all rolled up into one, whether you work at a startup, scaleup, or enterprise. Your role as a C-suite executive for engineering requires you to research and implement the newest, most efficient technologies. As CTO, you’re responsible for: The list goes on and on. That's why you, of all people, need the right tools to manage your vital role in the digital world.

Successful SaaS companies know that they can't rely on gut feelings alone to make business decisions. Data helps them uncover patterns, trends, opportunities, and potential gaps in their strategy that can give them a competitive advantage. Yet, simply collecting metrics can often give you a lot of data to analyze with little insight into what to do next.

Flexibility is one of the cloud’s biggest benefits, but also one of its biggest challenges. When you have different teams using resources in the cloud and deploying instances at the click of a button, your cloud environment could easily become chaotic. Without a definitive plan governing your cloud operations, your costs will inevitably spiral out of control. A cloud cost strategy is your action plan for managing costs and staying profitable while working and building products in the cloud.

Engineers want to innovate, fix issues, and improve existing code. Finance wants to report accurately on the company's return on technology investment. Yet, the cloud is like a menu without the pricing Engineers can practice continuous improvement without slowing down but they can also use up computing resources without being fully aware of the costs they incur, only to be surprised with a higher than usual AWS bill. Even worse is not knowing where, what, when, or who is driving up their AWS costs.

Cloud adoption has got a tremendous uptrend as never before. The World pandemic has made startups, and enterprises move their legacy systems into Cloud to cut huge infrastructure maintenance costs. According to Gartner, cloud spending is forecasted to increase 23.1% at $332.3 billion in 2021 from $270 billion in 2020. We can even see enterprises using BizTalk servers moving to the Azure Cloud for better maintenance and features that confirm the above forecast.

Anyone familiar with the cloud understands there are a lot of misconceptions about how it works. For example, businesses often assume that operating in the cloud will be inherently less expensive than managing an on-premise application. But this is not always the case. In fact, your monthly cloud bill could be the same or more expensive than your on-premise costs.

Breakthroughs in engineering best practices often stem from a handful of top tech companies. Many of them share their behind-the-scenes stories at conferences, in blogs, and slide decks — or open source code. These companies invest millions of dollars and dedicated headcount in optimizing everything from uptime to engineering velocity — so why wouldn’t you look to them for inspiration?