In the last couple years, the SaaS world has undergone a paradigm shift with regard to cloud spending. As macroeconomic conditions shift from “peachy” to “moldy,” as SaaS grows increasingly crowded, as company valuations face new pressure, and as venture funding cools down, companies are looking to reduce — or in industry jargon, “optimize” — their cloud spending as much as possible, as soon as possible.

The latest cloud cost news is primarily good news: Each of the major cloud providers released changes that could improve your bottom line: Dive into the details below.

Rethinking Cost Optimization Cost Optimization is a term that has been around for a while when discussing Cloud cost, and to a larger extent the practice of FinOps. It is usually what most people associate with FinOps when they hear those terms initially, but is that the correct term to use?

According to Statista, the mass volume of data created, stored, copied, and consumed in 2020 was over 64 zettabytes (ZB), or about 64 trillion gigabytes (GB). This is expected to rise to 181 ZB by the year 2025. A large portion of this data is likely to be significant to your business. It can provide you with new insights that help you improve your product, communicate with consumers, and perform risk analysis. However, you’ll need the right tools to extract, sort, process, and analyze it.

The most successful brands are data-driven. Whether it's Google, Amazon, or TikTok, they all use data to inform their next moves. But here's the thing. It's easy to collect a lot of data. Making sense of all that data is often the most challenging part. You can do that in three ways. Scripting is one option. Here, your developers code custom data integration tools in Python and Java alongside technologies like Hadoop and Spark.

If you’ve done any shopping around for a cloud cost intelligence platform, you may have heard about the “single pane of glass” approach to presenting cloud cost data. It’s a descriptive phrase uttered by almost every cloud cost company in one form or another. We may not all say it in a similar way, but it’s the same concept across the board.

It’s pretty clear that AI is changing how people consume, create, and extract data and information. When it comes to cloud costs, having everything automated can give our users personalized analysis without spending much time on it. Imagine resolving these frequent cloud cost challenges with a simple search: Get ready because this dream is about to turn into reality! Our new AI tool, CostGPT provides instant insights into cloud cost structure.

Cloud Tagging should be automated, not left to humans. Optimization in the cloud is actually really simple. Here’s how we get our customers thinking differently which in turn makes them successful. “To your developers the cloud is like a candy store is to a kid where all the candy is free”. Just as parents need to teach their kids the value of money, you need to teach your developers the value of cloud spend.

The best pricing strategy for your SaaS business will depend on your specific business model, target market, and competition. You’ll also want to test different pricing strategies to see which one works best for you. That said, feature-based pricing can be a very profitable way to price SaaS products. Here’s how it works. We’ll also include how to determine your cloud costs per feature so you can set profitable prices.