Managing your AWS costs is both crucial and complex, and as your AWS environment grows, it becomes harder to know where you can optimize and how to execute the necessary changes. Datadog Cloud Cost Management provides invaluable visibility into your cloud spend that enables you to explore costs and investigate trends that impact your cloud bill.

CloudSpend Cost Category Reports Cloud costs can quickly spiral out of control without a proper understanding of where the money is being spent. AWS offers a tool called Cost Categories that allows you to group and categorize costs across various dimensions, including accounts, services, tags, charge types, and usage types. When paired with a cloud cost management tool like CloudSpend, this categorization becomes even more insightful.

Your customer renewal pricing strategy can make or break your business. You can create the best product in the world, market it masterfully, and provide exceptional customer service, but if your prices aren’t where they need to be, either your customers will churn or you’ll wind up spending way too much money to support a proportionally small revenue stream. Either way, your company will struggle to make ends meet.

As your organization scales its applications across many different cloud and SaaS providers, it becomes more challenging to understand your costs. You likely receive your bill at the end of the month, meaning you don’t have real-time visibility into who’s spending what and which services or applications your teams are spending the most on. Changing service costs also makes it difficult to break down your costs and identify what is driving spend, leaving you unable to take action.

Amazon Web Services (AWS) is a great platform for DevOps and FinOps teams for several reasons. It provides a wide range of services, supports extensive automation, and includes strong collaboration tools. Despite this, AWS can be a complex ecosystem that makes cloud management challenging. The good news is that AWS also offers a suite of tools to help you apply DevOps best practices and cloud cost optimization.

Organizations need highly scalable compute capacity in the cloud to handle fluctuating workloads. This ensures they can meet peak demand without over-provisioning resources or incurring unnecessary costs during low activity periods. Amazon EC2 offers one of the most flexible, on-demand infrastructures that can be scaled to meet business needs. Yet, it isn’t suitable for everyone. In this guide, we’ll explore why that is and share the best EC2 alternatives to consider. But first, a quick recap.

Undoubtedly, AI is our future—which means it’s past time to integrate machine learning models into your FinOps multi-cloud tech stack. AI turns simple tasks into something that can be executed at the click of a button. With well-trained models, FinOps, MSPs, and Enterprises can automate cost detection, forecasting, and anomaly identification, streamlining complex financial operations without increasing their workforce. The good news?

We are often asked about areas where customers overspend on Amazon Web Services (AWS). NAT gateway costs are high due to misplaced data transfers and are definitely near the top of our list. This article will walk you through five steps you can take to find out which data transfers you’re overspending on and how you can eliminate those excess charges.