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Ali Khajeh-Hosseini for Infracost

Posted on • Originally published at

Infracost Feb 2021 update: faster runs, new resources and Atlantis!

Here's what we released in February - big thanks to the community contributors! You can upgrade to the latest version (v0.7.20) to pickup these goodies:

πŸš€ Speed improvements

The CLI now only runs terraform init if required since Terraform commands aren't the fastest in the world (init usually takes 20+ secs for me, but it depends on how many plugins you have). Furthermore, calls to the Cloud Pricing API have been switched from sequential to parallel. Infracost should run much faster than before.

βš™οΈ Config file

Depending on your Terraform workflow, you'll run Infracost with different options. Things can get complicated when you have multiple projects in a repo, each requiring their own Terraform variables. For example, if you have two workspaces and want to see their total cost estimate, you would run something like this:

terraform workspace select dev
infracost --terraform-dir code --format json \
          --terraform-plan-flags "" > dev.json

terraform workspace select prod
infracost --terraform-dir code --format json \
          --terraform-plan-flags "" > prod.json

infracost report --format table dev.json prod.json
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You can now create an infracost.yml config file in your repo to describe your setup, then just run infracost --config-file infracost.yml.

🌎 Atlantis integration

Infracost now integrates with Atlantis, which is a popular CI/CD tool that enables Terraform pull request automation.

πŸ—’οΈ Diff functionality in JSON output

You can now get the monthly cost diff from the Infracost JSON output, e.g. the following shows the monthly cost is going to be increased by $1530 if the Terraform plan is applied. You can also get totalHourlyCost, or add --no-color=true --log-level=warn if you don't want the spinners/logs/color.

infracost --terraform-dir=. --format=json | jq '[.projects[].diff.totalMonthlyCost | select (.!=null) | tonumber] | add'
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β›… New cloud resources

We also shipped support for the following cloud resources:

  • AWS: Config, ECS on EC2, EventBridge, Route 53 Resolver, CodeBuild
  • Google: Key Management Service (KMS), Google Cloud Functions
  • Azure: great progress is being made, stay tuned for exciting news soon

The usage file params for Google Cloud Functions are pretty cool; as shown below you can define 3 simple params and we'll estimate the cost for you, no need for you to decode how function memory maps to GHz-seconds and rounding.

  request_duration_ms: 150 # milliseconds
  monthly_function_invocations: 10000000
  monthly_outbound_data_gb: 50
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NAME                              MONTHLY QTY  UNIT         MONTHLY COST

β”œβ”€ CPU                                800,000  GHz-seconds  8.0000
β”œβ”€ Memory                             500,000  GB-seconds   1.2500
β”œβ”€ Invocations                     10,000,000  invocations  4.0000
└─ Outbound data transfer                  50  GB           6.0000
Total                                                       19.2500
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As always, looking forward to your feedback (

Top comments (1)

rophilogene profile image
Romaric P.

Wow! This is exactly what I needed. Thank you guys