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burn
Verify your Kubernetes costs against your real cloud bill
Built burn because every K8s cost tool I tried showed estimates but none checked if those numbers matched the real bill. Pulls actual AWS CUR or Azure Cost Management data exact dollar diff per node, per disk, per load balancer. SP, RI, Spot detected from billing. Orphaned volumes and LBs flagged. Works on cloud and on-prem. Reconciliation production-tested on AWS and Azure. Featured on WebProNews. Open source. Single binary. No agent.
Hey, I'm Ozlem.
I run production Kubernetes clusters on AWS and Azure. A few months ago I pulled up our AWS bill and the numbers didn't match what our cost tool was reporting. Looked into it, found orphaned disks nobody remembered creating, a load balancer charging us with nothing behind it, and nodes on full on-demand pricing even though we were paying for Savings Plans.
The cost tool showed everything was fine. The bill told a different story.
So I built burn. One command , pulls your real AWS CUR or Azure Cost Management data, matches it against what your cluster thinks it's spending, and shows you where every dollar actually goes. Per node, per disk, per load balancer.
Started as a side project to scratch my own itch. Now it runs on our production clusters daily.
Got picked up by WebProNews. Speaking about it at SREday London and Amsterdam this year.
Still just me building this. If you've ever looked at your K8s bill and thought "that doesn't look right", that's exactly why burn exists.
github.com/tanrikuluozlem/burn
About burn on Product Hunt
“Verify your Kubernetes costs against your real cloud bill”
burn was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #19 on the daily leaderboard. Built burn because every K8s cost tool I tried showed estimates but none checked if those numbers matched the real bill. Pulls actual AWS CUR or Azure Cost Management data exact dollar diff per node, per disk, per load balancer. SP, RI, Spot detected from billing. Orphaned volumes and LBs flagged. Works on cloud and on-prem. Reconciliation production-tested on AWS and Azure. Featured on WebProNews. Open source. Single binary. No agent.
On the analytics side, burn competes within Open Source, Developer Tools and GitHub — topics that collectively have 625.3k followers on Product Hunt. The dashboard above tracks how burn performed against the three products that launched closest to it on the same day.
Who hunted burn?
burn was hunted by Ozlem Tanrikulu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of burn including community comment highlights and product details, visit the product overview.
Ozlem Tanrikulu