Our company has noticed a terrifying trend: our AWS bill has exceeded $95,000 per month, and it's becoming overwhelming. We're unsure of how to even begin addressing this issue. We utilize monitoring tools that outline which services are the top cost drivers—primarily EC2, RDS, and S3—but even with that data, we're not gaining clear insights about why our expenses are skyrocketing. We react to spikes in costs by fixing obvious problems like runaway processes or unoptimized queries, but it seems like another cost center emerges each time.
We lack clarity on which teams contribute the most to these increases. While we can see service usage, translating that into costs for specific projects or features is a manual task that requires cross-referencing estimations and asking around—a real headache. Internal discussions about cost optimization often go in circles, as anecdotal evidence abounds but no one has a synthesized understanding of what's driving costs. Is the issue stemming from development environments, staging, new batch jobs, or just general growth?
We're trying to implement FinOps principles, but without a clear way to attribute costs and understand usage patterns, fostering a culture of awareness and ownership among our engineering teams seems nearly impossible. We're looking for advice on how to effectively start reducing our AWS bill and are open to third-party tools that can help as long as they respect our account privacy.
5 Answers
Honestly, paying that much without getting expert help is a bit wild. Hiring a consultant could really streamline things and give you fresh insight. Just saying—the spending is insane for not tapping into expert advice first.
You need policies in place for spending limits and have dashboards to report usage to higher-ups. Treat this like a political issue rather than just a technical one. Centralized policies and management buy-in will help enforce limits on untagged resources, so start there!
Tagging is key! Make sure every resource is tagged by team and set clear budgets for each. If something isn’t tagged or doesn’t have an owner, consider shutting it down. The principle is simple: you build it, you run it, and you pay for it!
Look into third-party tools like Milkstraw.ai. The idea is if they help you save costs, you can pay them from those savings. It's worth exploring before going through the hassle of hiring someone full-time. Plus, they should keep your data secure!
To lower costs, tagging is crucial. Update your infrastructure as code (IaC) to include tags for each team and service. This way, you can easily see where the spending’s coming from. Once that’s set up, you can generate reports and have the teams manage their own budgets!
Agreed on the tagging. But don’t forget to continuously review resources. Daily checks can help quickly identify spikes, and using AWS’s cost reports can assist with finding culprits more efficiently.