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:
π 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.
βοΈ 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 "-var-file=env.dev.tfvars" > dev.json
terraform workspace select prod
infracost --terraform-dir code --format json \
--terraform-plan-flags "-var-file=env.prod.tfvars" > prod.json
infracost report --format table dev.json prod.json
You can now create an infracost.yml
config file in your repo to describe your setup, then just run infracost --config-file infracost.yml
.
π Atlantis integration
Infracost now integrates with Atlantis, which is a popular CI/CD tool that enables Terraform pull request automation.
ποΈ 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'
"+1530"
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.
google_cloudfunctions_function.my_function:
request_duration_ms: 150 # milliseconds
monthly_function_invocations: 10000000
monthly_outbound_data_gb: 50
NAME MONTHLY QTY UNIT MONTHLY COST
google_cloudfunctions_function.hi
ββ CPU 800,000 GHz-seconds 8.0000
ββ Memory 500,000 GB-seconds 1.2500
ββ Invocations 10,000,000 invocations 4.0000
ββ Outbound data transfer 50 GB 6.0000
Total 19.2500
As always, looking forward to your feedback (hello@infracost.io).
Top comments (1)
Wow! This is exactly what I needed. Thank you guys