Let’s take some concrete examples of what unusd.cloud
could save on your AWS bills.
What are the expected savings?
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