Let’s take some concrete examples of what unusd.cloud
could save on your AWS bills.
What are the expected savings with unusd?
AWS has become the backbone of countless businesses, startups, and innovation labs. While its range of services offer powerful capabilities, mismanagement and lack of visibility can result in budget nightmares.
From stray EC2 instances to unattached EBS volumes and more, the costs can quickly add up.
In this blog post, we run the numbers on real-world scenarios to show you exactly how much you could be overspending — and how unusd.cloud can help you reclaim those lost dollars.
Whether you’re a DevOps team in a startup, a squad of data engineers in a medium-sized business, or a large enterprise with sprawling cloud costs, read on to find out how much you could be saving.
unusd.cloud
is a SaaS product with different subscription plans.
👷 DevOps
Context: You are a startup, working on a product with a team of 2 DevOps, and 2 AWS Accounts (dev and prod).
During testing and development phase, the following resources were mistakenly left running for one month
- 3 EC2 Instances -
m5.large
- $78 * 3 = $234 - 3 Detached EBS Volumes -
gp2 8 GB SSD
- $0.11 * 8 * 3 = $2.64 - 1 RDS Database -
t3.medium
(Aurora) = $64.2 - 3 Detached EIPs - $3.6 * 3 = $10.8
Total waste: $311.6 monthly or $3,739.68 yearly
With unusd.cloud
you were able to detect this waste of unused assets quickly and take action to shut down these instances.
🧑🔬 Data Scientists & Data Engineers
Context: Medium-sized business, with a squad dedicated to AI/ML with 2 Data Engineers and 3 Data Scientists. They use an AWS Account for experimentations and data exploration (a lab account).
- 15 SageMaker Notebooks - 5 data scientist(s) * 3 Notebook = 15 – 10800 hours/month * $0.478/hour = $5162.40
- 3 Glue DevEndpoints -
5 DPU
- $0.44 * 720 hours * 5 * 3 = $4752 - 2 Redshift Clusters -
dc2.large - 2 nodes
- $365 * 2 = $730 (without any transfer, storage, or spectrum costs)
Total waste: $10,644.4 monthly or $127,732.8 yearly
🤓 Developers
Context:
- 10 EC2 Instances -
c5.2xlarge
– $248 * 5 = $1240 (without any EBS Volumes or Snapshot) - 5 RDS Database -
db.m5.xlarge
(Aurora) = $246.24 * 5 = $1231.2 - 10 Detached EIPs - $3.6 * 10 = $36
Total waste: $2,507.2 monthly or $30,086.4 yearly
👩💻 Large Enterprise
Context:
- 200 EC2 Instances -
c5.2xlarge
– $248 * 200 = $49600 (without any EBS Volumes or Snapshot) - 20 Redshift Clusters –
dc2.large - 2 nodes
- $365 * 20 = $7300 (without any transfer, storage, or spectrum costs) - 35 Detached EIPs - $3.6 * 35 = $126
- 200 Detached EBS Volumes -
gp2 60 GB SSD
- $0.11 * 60 * 200 = $1320
Total waste: $58,346 monthly or $700,152 yearly