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:

🚀 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.

⚙️ 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.

🌎 Atlantis integration#

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

🗒️ 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"

⛅ 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
├─ CPU 800,000 GHz-seconds 8.0000
├─ Memory 500,000 GB-seconds 1.2500
├─ Invocations 10,000,000 invocations 4.0000
└─ Outbound data transfer 50 GB 6.0000
Total (USD) 19.2500

As always, looking forward to your feedback (hello@infracost.io).

Show costs in self service portals easily

Over the last 10 years we’ve seen a lot of shadow IT with AWS being used as the infrastructure provider. The AWS bills were put on company credit cards and expensed. Individual business units could spin up the resources they needed and work in an incredibly agile manner. Unfortunately, for the enterprise as a whole this resulted in shadow spend, less control and security issues. To address these issues, central IT departments built “Self Service” portals with single sign-on (SSO). Business units could still spin up resources as needed, and the enterprise gained some visibility and control.

This caused a new issue. When successful shadow IT projects started consuming more resources, bills went up until the company credit card limits were reached. Then someone would have to go up the ranks to figure out what rules the business unit broke and how to solve it going forward. Self service portals addressed the credit card limit issue by enabling usage, and adding showback and chargeback via spend reports at the end of the month. Optimization was left to the end user to figure out after getting the bill.

A great way to help the end user optimize cloud costs before the showback/chargeback report is to let them see how much resources cost before they are launched. Multiple enterprises have achieved this with Infracost, and I want to share how:

Self Service Portal

1. Show costs in your self service portal to the end user#

The first step is to show cost estimates in your self service portal. If you are using Terraform to launch resources, this is easy to do by integrating with Infracost. Read our API documentation for more information. Infracost is free and open source.

2. Set expectations in management and finance#

The next step is to set expectations by giving visibility of the cost estimates to management and finance. You can use our HTML output reports to achieve this.

3. Monitor ongoing costs#

Finally, set up alerts and reports for ongoing costs. There are many companies who can help with this, including the cloud providers themselves.


Our users have connected their self service portal in a matter of hours. Their end users immediately begin seeing cost estimates. You can start using Infracost now, or email us for a deeper engagement with our team (hello@infracost.io).

Cloud cost alerts are too late: trigger notifications before launching

Most cloud providers enable users to set budget alerts on their actual cloud spend. This is a critical safety net as usage-based resources could incur a lot of cost (e.g. data transfer). There is also another safety net that companies should set up, and that is catching significant cost changes to their infrastructure before going live. For example, finding out how much increasing the RAM for a Lambda function costs before putting the new function into production. Usage estimates can also be considered during cost estimation.

Infracost is an open source tool that can be put into CI/CD pipelines (GitHub, GitLab, CircleCI, Bitbucket and Atlantis…) and will leave a comment with the cloud cost implications of changes to your infrastructure-as-code: "this change to your terraform file will increase your cloud bill by 25% next month".

In some cases, you may only want an Infracost comment when a threshold is reached. For example, if the cost implications of the change are minor (e.g. under 3%), then no comment is needed. We have now added this ability into Infracost - from our CI/CD integration docs, select your CI system, and set the percentage_threshold flag.

We hope Infracost can help your enterprise become more cost-aware when it comes to cloud spend, and maybe we can help reduce that 30% cloud waste! [1]

As always, if you have any feedback, add an issue to our GitHub repo, join our community Slack channel, or reach out to me directly on Twitter: @hassankhosseni.

[1] Flexera 2020 State of the Cloud Report

Terraform cloud costs directly from pull request to management

Last week I wrote about giving cloud cost estimates to DevOps teams via pull requests as they make changes to infrastructure components. The hope is to create a “Prius Effect” for cloud costs: it was observed that many Prius drivers would drive more efficiently simply because they were presented with immediate feedback on the Prius dashboard.

In this blog, I'd like to answer a question that a user posed to us:

We need to know when significant budget changes are expected so we can plan for them before the money is spent. Billing alerts help us react to unexpected changes but they still can be a surprise. My DevOps now have costs in pull requests. What about my team leads and managers? They can’t go through every pull request to see what the cost changes are.

When you have a single engineer with access to change infrastructure a simple discussion about significant cost changes will suffice. Once your team grows to multiple engineers or multiple teams a process can really help.

Infracost now has a new infracost report command which generates a table or HTML report from multiple Infracost JSON files. The output shows a breakdown of all the cost information in a straightforward format alongside tags. You can then upload these reports to AWS S3 and share them with management and team leads.

Example command:

infracost --terraform-dir /path/to/module1 --format json > module1.json
infracost --terraform-dir /path/to/module2 --format json > module2.json
infracost report --format html module*.json > report.html

This is the output you'd get in HTML format. Notice that the filename and all tags are shown: Infracost output in HTML format

This is our first solution to this use-case. I'd love to hear your feedback so we can iterate on it and improve it! This is available now. Please see our Infracost Docs: Report section for usage instructions.

If you have any feedback add an issue to our GitHub repo, join our Community Slack channel, or reach out to me directly on Twitter: @hassankhosseni.

The Prius Effect for cloud costs

Over the last 10 years we have seen more enterprises give direct cloud access to their developers and DevOps teams. There are many ways this has been achieved, from giving admin logins to the cloud console, to having devs create request tickets to the central IT team, to creating a self-service catalogue in which business units can select what they need from a list of pre-approved resources or environments.

What ever model enterprises have chosen, one common thing happens. The cloud bill becomes less predictable. Someone didn't know what they were launching, they didn't turn it off, they didn't consider that when you create one resource, it will auto-create a bunch of other resources. As we shift left with Infrastructure as Code, and further with Serverless, in which code decisions have a direct impact on the cloud bill, we need a better answer than just policing what developers have access to and doing post-bill analysis.

Myself and my co-founders have been working in the cloud cost space for 10 years, and we now want to address this issue. Our theory is that if we give developers and DevOps engineers a clear picture of costs of their infrastructure before they launch, then they will be more mindful about what they launch. Think of it like The Prius Effect in which it was observed and documented that a large subset of Prius drivers would respond to the data on the dashboard by driving in a manner that decreased fuel consumption, but for cloud costs.

We launched infracost.io, an open source tool which looks at a terraform project and creates a cost estimate for the resources directly in the CLI:

The output of Infracost running directly in the CLI

You might say “developers don't care about cloud costs since they don't pay for it”. I would say two things:

  1. The traction we have seen with Infracost indicates to us that this assumption might be false and that developers do care. They are just unaware of cost implications due to the complexities of cloud pricing models.
  2. If a developer doesn't care about cloud costs, what if we put Infracost in the CI pipeline so the cost implications can also be peer reviewed in the pull request? Will a single person in a team pull the cost efficiency up?

This is what Infracost looks like if you put it into the CI pipeline, a comment summarizes the percentage change in the cloud cost due to the changes in the terraform project, as well as a detailed breakdown:

Infracost explaining cloud costs in pull requests

Our Theory#

We are working on validating this theory: can we get better cloud cost efficiency if we give developers clear visibility into potential cloud costs directly in their workflow with no added effort. I'd like to invite you to join this journey, and let's see if this theory is right or not.

  1. Install Infracost - it's free and open source.
  2. Write a blog, or a tweet about the impacts you see in the short, medium and long term. Do developers talk more about costs? Do they change their code? Are there comments in peer review process about costs? Do others suggest different resources to be used? What else are you seeing?
  3. Share the blogs with me, tag me in tweets etc, and I will collate all the results and write another blog with a summary and link to your results.

Cheers!

Infracost - cloud costs for devs

Infracost helps developers and DevOps engineers get cost estimates from their IaC (Infrastructure as Code). Here's an example of it running:

Infracost example

The complexity of cloud costs keeps increasing - When we were building PlanForCloud in 2012 AWS had just hit 10,000 different pricing points for their services - now there are over 300,000.

We found existing tools fit in too late in the process and are not aimed at the people in control of the infrastructure. It's difficult to get cost estimations when you are building and deploying your services, which often leads to bill shock and no easy way to track down these costs. So we wanted to build a CLI tool that can plug into your existing development and operations processes and bring cost visibility to the engineers.

Currently Infracost supports AWS and Terraform, but we will add support for more cloud vendors (GCP, Azure) and other IaC tools (Pulumi).

Update 25 Nov 2020 : We have now added initial support for Google cloud.

We also want to go beyond just the baseline costs of infrastructure - data transfer costs and other usage-based costs can often be a significant portion of a cloud bill, and are also the hardest to predict and track down. If you have any ideas about the best way to handle these then please reach out to me on Twitter.

Infracost is open source, you can check it out at https://github.com/infracost/infracost.