|
| 1 | +--- |
| 2 | +title: Estimating GCP Deployment Costs |
| 3 | +description: Defang enables you to estimate the cost of deploying and running your project before you even create a cloud account. |
| 4 | +sidebar_position: 281 |
| 5 | +--- |
| 6 | + |
| 7 | +# Estimating GCP Deployment Costs |
| 8 | + |
| 9 | +Defang enables you to estimate the cost of deploying and running your project without needing to create an account with your cloud provider. This tutorial will walk through estimating the costs of deploying the [django-postgres](https://github.com/DefangLabs/samples/tree/main/samples/django-postgres) to GCP. |
| 10 | + |
| 11 | +## Clone the sample |
| 12 | + |
| 13 | +``` |
| 14 | +defang generate # select `django-postgres` (or any other sample) from the list |
| 15 | +cd django-postgres # or the name of your project's working directory |
| 16 | +``` |
| 17 | + |
| 18 | +## Open the compose file |
| 19 | + |
| 20 | +Let's take a quick look at the compose file. There are two services: `db` and `django`. Defang can generate a cost estimate of running the project described by this compose file in the cloud. |
| 21 | + |
| 22 | +Notice that each service has a [`deploy.resources.reservations`](/docs/concepts/compose#deploy) property which describes the service's resource requirements. These numbers will have a significant impact on the cost of running these services in the cloud. The estimation defang generates for you will be sensitive to these numbers. |
| 23 | + |
| 24 | +```yaml |
| 25 | +services: |
| 26 | + db: |
| 27 | + restart: unless-stopped |
| 28 | + image: postgres:16 |
| 29 | + x-defang-postgres: true |
| 30 | + environment: |
| 31 | + - POSTGRES_DB=django |
| 32 | + - POSTGRES_USER=django |
| 33 | + - POSTGRES_PASSWORD |
| 34 | + ports: |
| 35 | + - mode: host |
| 36 | + target: 5432 |
| 37 | + published: 5432 |
| 38 | + healthcheck: |
| 39 | + test: ["CMD", "python3", "-c", "import sys, urllib.request; urllib.request.urlopen(sys.argv[1]).read()", "http://localhost:8000/"] |
| 40 | + deploy: |
| 41 | + resources: |
| 42 | + reservations: |
| 43 | + cpus: '0.5' |
| 44 | + memory: 256M |
| 45 | + |
| 46 | + django: |
| 47 | + restart: unless-stopped |
| 48 | + build: ./app |
| 49 | + ports: |
| 50 | + - mode: ingress |
| 51 | + target: 8000 |
| 52 | + published: 8000 |
| 53 | + environment: |
| 54 | + - DB_HOST=db |
| 55 | + - DEBUG=False |
| 56 | + - POSTGRES_USER=django |
| 57 | + - POSTGRES_DB=django |
| 58 | + - POSTGRES_PASSWORD |
| 59 | + - SECRET_KEY |
| 60 | + - ALLOWED_HOSTS |
| 61 | + depends_on: |
| 62 | + - db |
| 63 | + deploy: |
| 64 | + resources: |
| 65 | + reservations: |
| 66 | + cpus: '0.5' |
| 67 | + memory: 256M |
| 68 | +``` |
| 69 | +
|
| 70 | +## Generate an estimate |
| 71 | +
|
| 72 | +Generating an estimate is easy. All you need to do is run |
| 73 | +
|
| 74 | +``` |
| 75 | +defang estimate |
| 76 | +``` |
| 77 | + |
| 78 | +Defang can deploy a project according to different [deployment modes](/docs/concepts/deployment-modes). By default, defang will estimate the cost deploying with the `affordable` mode. If you would like to increase your application's resiliency, you can deploy will the `balanced` or `high_availability` modes. Defang can estimate the cost of deploying using any of these modes. |
| 79 | + |
| 80 | +``` |
| 81 | +defang estimate --provider=gcp [--mode affordable|balanced|high_availability] |
| 82 | +``` |
| 83 | + |
| 84 | +Here is an example of the output you would see if you estimated the cost deploying the [django-postgres](https://github.com/DefangLabs/samples/tree/main/samples/django-postgres) sample using the `balanced` [deployment mode](/docs/concepts/deployment-modes). |
| 85 | + |
| 86 | +``` |
| 87 | +defang estimate --provider=gcp --mode=balanced |
| 88 | + * Packaging the project files for django at /Users/defang/samples/samples/django-postgres/app |
| 89 | + * Generating deployment preview |
| 90 | + * Preparing estimate |
| 91 | +
|
| 92 | +Estimate for Deployment Mode: BALANCED |
| 93 | +
|
| 94 | +This mode strikes a balance between cost and availability. Your application |
| 95 | +will be deployed with spot instances. Databases will be provisioned using |
| 96 | +resources optimized for production. Services in the "internal" network will |
| 97 | +be deployed to a private subnet with a NAT gateway for outbound internet access. |
| 98 | +
|
| 99 | +COST QUANTITY SERVICE DESCRIPTION |
| 100 | +$18.00 720 Hours (shared) Global Cloud Load Balancer Forwarding Rule (720 hours) |
| 101 | +$7.56 720 vCPU-Hours db CloudSQL for PostgreSQL (1 vCPU * 720 Hours) |
| 102 | +$18.00 720 Hours private-lb Cloud Load Balancer Forwarding Rule (720 hours) |
| 103 | +$0.00 0 GB-second django Cloud Run Active Time Memory ((first 360,000 GB-seconds free per month)) |
| 104 | +$0.00 0 vCPU-second django Cloud Run Active Time vCPU ((first 180,000 vCPU-seconds free per month)) |
| 105 | +$0.00 0 Requests django Cloud Run Requests ((first 2 million requests free per month)) |
| 106 | +Estimated Monthly Cost: $43.56 (+ usage) |
| 107 | +
|
| 108 | +Estimate does not include taxes or Discount Programs. |
| 109 | +To estimate other modes, use defang estimate --mode=affordable|balanced|high_availability |
| 110 | +For help with warnings, check our FAQ at https://s.defang.io/warnings |
| 111 | +``` |
| 112 | + |
| 113 | +This estimate will include a line item for the most significant monthly costs associated with your deployment. Each line item will be associated with a compose service if possible. Some resources will be shared between multiple compose services. |
| 114 | + |
| 115 | +:::note |
| 116 | +GCP Cloud Run is billed based on usage, so Cloud Run line items will show as $0.00 in the estimate. |
| 117 | +::: |
| 118 | + |
| 119 | +## Deploying your project |
| 120 | + |
| 121 | +Now that you have estimated the costs associated with your project. You are ready to deploy to GCP. |
| 122 | + |
| 123 | +``` |
| 124 | +defang compose up --provider gcp --mode affordable|balanced|high_availability |
| 125 | +``` |
| 126 | + |
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