tfbuild 1.3.1

Creator: bradpython12

Last updated:

0 purchases

tfbuild 1.3.1 Image
tfbuild 1.3.1 Images

Languages

Categories

Add to Cart

Description:

tfbuild 1.3.1

TFBuild

Terraform build management wrapper.
This wrapper is primarily built to standardise:

AWS deployments with distributed per account, per environment S3 backed terraform states
Azure deployments with central Storage Account backed states
VMware deployments with TF Cloud to store states in per execution TF Cloud Workspaces, which it will create dynamically during the init process.
GCP implementation also possible, coming soon...

Support

Currently tfbuild supports the following Operating Systems:

MacOS (64bit/Arm)
Linux (64bit/Arm)
Windows

Installation



Python > 3.8 required (3.10 and higher on MacOS M1)


Install with pip:


pip install tfbuild


Install TFBuild from wheel package published to custom pypi repo URL:

$ pip install --extra-index-url https://<repo_url>/pypi-repo/simple tfbuild


Install TFBuild from source repo:

clone <repo_url>.git
cd <local_repo_folder>
pip install -e .

Terraform execution prerequisites

tfbuild assumes that the deployment is executed from a git repository with the following setup:
GIT Repository - Naming Conventions and Architecture

Repository Naming Standard: <Cloud_ID>-<Project_Acronym>
Branch Naming Standard: <Account_ID>-<Environment>
Cloud_ID: aws, azr, gcp, vmw
Example:

Repository: aws-k8s
Branch: 234625632123-dev os something like AWSShared-dev, with no dashes in <Account_ID>

GIT Repository - Environment Specific branch layout

Terraform Configurations *.tf are templatized, and should not change between branches.
Managed SDLC practices are advised to merge changes from lower environments and up.
Terraform variables should be introduced separately for each environment and site at the lowest environmental banch, and PRs used for moving the changes to the required branch.

Terraform State - AWS S3 Bucket Name

S3 buckets are an execution prerequisite, usually built as part of an AWS deployment.
TFState, S3 bucket naming standard:

Primary Bucket Naming Standard: <Bucket_Prefix>.<Account_ID>.<Environment>
DR Bucket Naming Standards: <Bucket_Prefix>.<Account_ID>.<Environment>.dr

Example:

Primary Bucket Name: inf.tfstate.234625632123.dev
DR Bucket Name: inf.tfstate.234625632123.dev.dr

( dr = "true" needs to exist in the ../common/environments/env_<Environment>.hcl global declarations file )
Buckets are bi-directionally replicated.
Primary and a DR bucket are available, per account per environment.
When using account targeted S3 buckets for account and environment, there should be no conflicts between states, but uniformity for ease of usage.
Backend Path:

General resources backend path: <Project_acronym>/<Region>/<Current_Dir>/terraform.tfvars
Backend resources backend path: <Project_acronym>/<Current_Dir>/terraform.tfvars

Curently the only global resource that is automatically detected is Route-53.
For declaring all resources in the project global, as in Active-Passive deployments,
global_resource = "true" needs to exist in the ../common/environments/env_<Environment>.hcl global declarations file
Terraform State - TF Cloud Workspaces


Workspace Naming standard: <Environment>-<Project_Acronym>-<Current_Dir>

As workspaces are curently only used for VMware deployment, a <Cloud_ID> is not used but will be introduced:

Future Workspace Naming Standard: <Cloud_ID>-<Environment>-<Project_Acronym>-<Current_Dir>

Terraform State - Azure Storage Accounts

Storage Accounts are an execution prerequisite, should be created during a Subscription creation.
Similar naming as S3 buckets, but without dots, as SA names need to be alpha-numeric:
Storage Account Naming Standard:

Primary SA Naming Standard: <Bucket_Prefix><Subscription_ID><Environment>
DR SA Naming Standards: <Bucket_Prefix><Subscription_ID><Environment>.dr

Example:

Primary SA Name: inftfstateshareddev
DR SA Name: inftfstateshareddevdr

Usage

App name is tfbuild or tfb
tfbuild <command>
tfbuild <command>-<site>

tfb <command>
tfb <command>-<site>

Commands, execute specific Terraform task:



Command
Description




apply
Apply Terraform configuration


config
Configure TFBuild deployment global variables


destroy
Destroy Terraform Configuration


destroyforce
Destroy Terraform Configuration with no prompt


help
Display the help menu that shows available commands


init
Initialize Terraform backend and clean local cache


plan
Create Terraform plan with clean local cache


plandestroy
Create a Plan for a Destroy scenario


reinit
Initialize Terraform backend and keep local cache


replan
Create Terraform plan with existing local cache


taint
Taint specific module and resources


test
Test run showing all project variables


tfimport
Import states for existing resources


update
Update Terraform modules


version
TFBuild version



Deployment Regions allow the deployment of the same code to multiple regions.
Example:

Deploy in the designated DR site: tfbuild apply-dr

# Usage Examples:

$ tfbuild init
$ tfbuild update
$ tfbuild plan
$ tfbuild plan-dr
$ tfbuild plan-us-west-2
$ tfbuild replan
$ tfbuild plandestroy
$ tfbuild apply
$ tfbuild apply-dr
$ tfbuild apply-us-west-2
$ tfbuild destroy
$ tfbuild taint
$ tfbuild test
$ tfbuild tfimport
$ tfbuild config --bucket_prefix=test_bucket --tf_cloud_org=test_org

Commands directly coresponding to Terraform actions, such as init, plan, apply, destroy, validate, can take the coresponding terraform options.
# Example:

$ tfbuild plan -json
$ tfbuild apply -compact-warnings -no-color

Deployment Global Variable Reference

Install Configuration file




Env. Variable
Config Variable
Description
Usage Target
Default
Required




BUCKET_PREFIX
bucket_prefix
Override Bucket_Prefix
Cloud Backend
inf.tfstate
no


TF_CLOUD_ORG
tf_cloud_org
Set a global TFC org. Takes priority over Git variables.
TFC Backend (VMW)
-
yes


TF_TOKEN

TFC Authentication Token
TFC Backend (VMW)
-
yes




Terraform Cloud credentials are sourced from the Terraform CLI Config File.
TF_TOKEN updates the credentials in the Terraform CLI Config File or creates a new file if one does not exist in the Terraform predefined locations.
Introducing the ability to set global wrapper variables that preceede Git global variables for any deployment.
Here are the default search paths for each platform:

MacOS: ~/.config/tfbuild and ~/Library/Application Support/tfbuild
Other Unix: $XDG_CONFIG_HOME/tfbuild and ~/.config/tfbuild
Windows: %APPDATA%\tfbuild where the APPDATA environment variable falls back to %HOME%\AppData\Roaming if undefined

Variables sourced from Git Deployment scripts repository naming conventions




Variable
Description
Usage Target
Default
Required




account
Deployment Account_ID, sourced from the Deployment Git repository branch name
Cloud Backend
-
yes


cloud
Deployment Cloud_ID, sourced from the Deployment Git repository name
All Backend
-
yes


env
Deployment Environment, sourced from the Deployment Git repository branch name
All Backends
-
yes


project
Deployment Project_acronym, sourced from the Deployment Git repository name
All Backend
-
yes




Variables sourced from Git Deployment scripts repository common shell files

Project environment and site specific:

The <REPO_PATH>/common/environments/env_<Environment>.hcl environment file, for unisite deployments.
The <REPO_PATH>/common/environments/env_<Environment>_<SITE_NAME>.hcl environment file, for multi-site deployments.
Environment and site specific, not changeable per resource.

Variables declared in the environment file are declared as runtime variables, usable both in Linux and Windows deployments.
Example: dr = "true"
Speciffic deployment site can be configured as per the Repo architecture above, and can be called by appending a -<site>' to any command: Example: tfbuild -`



Variable
Description
Usage Target
Default
Required




backend_region
Hardcoded tf remote state backend S3/SA region
Cloud Backend
us-east-1
yes


china_deployment
Hardcoded tf remote state backend switch. Can be activated with china_deployment = "true"
AWS Backend
cn-north-1
yes


dr
Backend S3/SA backend_region switch from primary to secondary us-west-2. Can be activated with dr = "true"
Cloud Backend
-
no


global_resource
Declaring all resources in the project global, global_resource = "true"
AWS Backend
-
no


mode
For in-region blue/green deployment by setting the variable accordingly
All Backends
-
no


region
Deployment region, used in remote state backend path
Cloud Backend Key
-
yes


*site
In region secondary site deployment designation
All Backends
-
no


tf_cli_args
Custom TF variables to be passed to the deployment
TER
-
no


tf_cloud_backend
TFC Backend. Can be activated with tf_cloud_backend = "true"
TFC Backend (VMW)
-
yes


tf_cloud_org
Terraform Cloud Organization
TFC Backend (VMW)
-
no


target_environment_type
Switch between multi-region and in region multi-site deployment types. Defaults to multi-region.
All Backends
region
no




Variables exposed to the Terraform deployment scripts:

These variables are useful for resource naming, and in same deployment, inter-execution linking of remote state outputs
Terraform env speciffic wrapper variables injected into Terraform.
Variable declarations are needed in coresponding deployment variables.tf file"



Variable
Description
Required




account
Exposed to Terraform, alternate to TF self identification routine
no


azrsa
Azure Storage Account name bucket equivalent)
no


backend_region
Used in terraform_remote_state, as bucket region
no


bucket
Used in terraform_remote_state, as bucket name
no


china_deployment
Logic selector (ARN for example)
no


deployment_region
Used in terraform_remote_state key
yes


env
Deployment environment, used in naming project speciffic resources
yes


mode
Exposed to Terraform, used in naming blue/green speciffic resources
no


prefix
A dynamic combination of project, mode and site
no


project
Project acronym, used in naming project speciffic resources
yes


site
Used in naming site speciffic resources
no


tf_cli_args
Custom TF variables to be passed to the deployment
no




Upgrade

$ pip install --upgrade tfbuild

Uninstall

$ pip uninstall tfbuild

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

Customer Reviews

There are no reviews.