Azure Managed Disks Left Orphaned: A $2,100 Surprise
"Why are we paying for dozens of unused disks?"
Our team had recently scaled down a large deployment in Azure after a successful marketing campaign. We were patting ourselves on the back for the smooth operation, right up until the next monthly bill arrived. A hefty $2,100 was attributed to “Premium Managed Disks,” a cost we hadn’t anticipated.
These orphaned disks, remnants of the decommissioned VMs, were silently accruing charges, hidden in the sprawling landscape of our Azure resources. It was a classic case of “out of sight, out of mind,” and it was hitting our budget hard.

The Hunt for the Phantom Disks
Our initial attempts to identify and delete these rogue disks were manual and time-consuming. We combed through the Azure portal, cross-referencing VM configurations and storage accounts. This process was not only tedious but also prone to errors. We needed a better solution.
EazyOps to the Rescue: Automating the Cleanup
That's when EazyOps stepped in. Its automated resource monitoring immediately flagged the unused managed disks. The platform's intelligent tagging system labeled them with a lifecycle status, clearly identifying them as orphaned resources ripe for deletion. This brought much-needed visibility and order to the chaos.


Automated Workflows: Reclaiming Control and Cost
EazyOps didn't just identify the problem; it provided a solution. The platform's automated cleanup workflows allowed us to safely and efficiently delete the orphaned disks. With a few clicks, we reclaimed not only valuable storage space but also the $2,100 that was bleeding from our budget.
The Results: Instant Savings and Peace of Mind
The impact was immediate. Our Azure costs decreased by $2,100 per month. More importantly, we gained the peace of mind that comes with knowing our resources are being monitored and managed effectively. No more phantom disks, no more surprise bills.

About Shujat
Shujat is a Senior Backend Engineer at EazyOps, working at the intersection of performance engineering, cloud cost optimization, and AI infrastructure. He writes to share practical strategies for building efficient, intelligent systems.