#atmos (2023-09)
2023-09-07
v1.45.1 What’s Changed Update Secret Reference to Fix Brew workflow by @Benbentwo in <a class=”issue-link js-issue-link” data-error-text=”Failed to load title” data-id=”1886167524” data-permission-text=”Title is private”…
What’s Changed
Update Secret Reference to Fix Brew workflow by @Benbentwo in #423
Full Changelog: v1.45.0…v1.45.1
Benbentwo has 71 repositories available. Follow their code on GitHub.
v1.45.1 What’s Changed Update Secret Reference to Fix Brew workflow by @Benbentwo in <a class=”issue-link js-issue-link” data-error-text=”Failed to load title” data-id=”1886167524” data-permission-text=”Title is private”…
v1.45.2 What’s Changed Bugfix: formula-path for Promoting to homebrew by @Benbentwo in <a class=”issue-link js-issue-link” data-error-text=”Failed to load title” data-id=”1886299079” data-permission-text=”Title is private”…
What’s Changed
Bugfix: formula-path for Promoting to homebrew by @Benbentwo in #424
Full Changelog: v1.45.1…v.1.45.2
v1.45.3 What’s Changed Bugfix: formula-path for Promoting to homebrew by @Benbentwo in <a class=”issue-link js-issue-link” data-error-text=”Failed to load title” data-id=”1886299079” data-permission-text=”Title is private”…
What’s Changed
Bugfix: formula-path for Promoting to homebrew by @Benbentwo in #424
Full Changelog: v1.45.1…v1.45.3
Benbentwo has 71 repositories available. Follow their code on GitHub.
v1.45.3 What’s Changed Bugfix: formula-path for Promoting to homebrew by @Benbentwo in <a class=”issue-link js-issue-link” data-error-text=”Failed to load title” data-id=”1886299079” data-permission-text=”Title is private”…
2023-09-14
Only quite new to Atmos, trying to get aquinted with all of the concepts and way of working. Starting to get an understanding. However, comparing root modules of something like vpc with sqs and ecr, I am not sure what the best practises are dealing with:
• situation of setting up different similar infra eg. different buckets, couple queues. If you have a lot of queues or buckets seems odd/cumbersome to have to deploy every queue separate? In this way, ECR is really easy and clean. Is it then recommended to setup a workflow for all buckets/queues?
• Thinking about “Encapsulation”, sqs + sqs dlq would probably need to be in the same component? I see there is no support yet for this in cloudposse/terraform-aws-components
situation of setting up different similar infra eg. different buckets, couple queues. If you have a lot of queues or buckets seems odd/cumbersome to have to deploy every queue separate
that depends on how you structure your Terraform components. One component can provision one thing, or a set of similar things
how you structure the components, depends on a few considerations:
- lifecycle management - if all of those resources have the same lifecycle, they can probably be deployed together as a set (e.g. ECR repos). On the other hand, if you have many different buckets, and they are not related to each other, they should be provisioned as separate components.
- How big you want your Terraform state be - the smaller the component, the smaller is Terraform state. The more resources you provision in one apply, the longer it takes, to the point that it can become unmanageable
-
Blast radius - if all components of the same type are provisioned together in one
terraform apply
, if something goes wrong, all of them break. This is especially important in, for example, networking layer, b/c if you screw up your VPC/subnets/routes, then the entire account goes down. That’s why VPCs and subnets are usually provisioned separately and not all of them in oneterraform apply
-
If similar components are provisioned in different account and regions, then they should be provisioned separately. Otherwise, you’ll have to define a bunch of providers in the component, each provider for a specific account and region, instead of just setting a few variables (like
stage
,environmnet
andregion
in case of CloudPosse components). For example,vpc-flow-log-bucket
for VPCs in different accounts and regions. Any databases in diff accounts and regions, etc. -
What people/teams are responsible for the resources. If different teams are managing the same type of resources, eg s3 buckets for logs and s3 buckets for analytics, the resources must be provisioned as separate components with separate access control
if not considering all of that, you could put all your resources into one huge component named “infra”, and provision everything in one terraform apply, which is obviously not a good idea
Allright thanks, thats helpful
Also a good question for #office-hours
2023-09-15
Atmos makes it easy to move around components, but stacks itself not so much. For good reason as normally you should not need to change namespace or tenant, but what if you do? Is there a less painful way of doing this in bulk?
if you are using cloudposse components and null label then is not that easy because the resources are named after the merge of the null-label variables so it will trigger a recreate
you could do a lot of moved {} blocks in tf to maybe accomodate this but it will still be tricky
2023-09-21
In the Spacelift Spaces Atmos yaml is it possible to utilize body or body_url to reference a file in the repository? The url approach is less fun out of a private repo.
variable "policy_name" {
type = string
description = "The name of the policy to create. Should be unique across the spacelift account."
}
variable "body" {
type = string
description = "The body of the policy to create. Mutually exclusive with `var.body_url`."
default = null
}
variable "body_url" {
type = string
description = "The URL of file containing the body of policy to create. Mutually exclusive with `var.body`."
default = null
}
variable "body_url_version" {
type = string
description = "The optional policy version injected using a %s in `var.body_url`. This can be pinned to a version tag or a branch."
default = "master"
}
variable "type" {
type = string
description = "The type of the policy to create."
validation {
condition = can(regex("^(ACCESS|APPROVAL|GIT_PUSH|INITIALIZATION|LOGIN|PLAN|TASK|TRIGGER|NOTIFICATION)$", var.type))
error_message = "The type must be one of ACCESS, APPROVAL, GIT_PUSH, INITIALIZATION, LOGIN, PLAN, TASK, TRIGGER or NOTIFICATION"
}
}
variable "labels" {
type = set(string)
description = "List of labels to add to the policy."
default = []
}
variable "space_id" {
type = string
description = "The `space_id` (slug) of the space the policy is in."
}
currently, you can specify a policy inline, or using a URL
variable "body" {
type = string
description = "The body of the policy to create. Mutually exclusive with `var.body_url`."
default = null
}
variable "body_url" {
type = string
description = "The URL of file containing the body of policy to create. Mutually exclusive with `var.body`."
default = null
}
local files are not supported by the module, so you can:
- Open a PR and add that support
- Write you own component that wraps the
spaceift-policy
module and use thefile
Terraform function to read a policy from a file and use thebody
variable
Thank you for confirming its use.
Hi folks, I can’t seem to find any reference on Atmos stack destruction or any deletion in particular. What would be the recommended “elegant” way of deleting every resource about and in specific AWS account. The stacks were created using Spacelift with Atmos.
Have you looked into Workflows?
Keep in mind we built atmos to be generic in that sense, so it’s not aware really of anything terraform does
In our reference architecture we rely on workflows to automate the process of bringing up and tearing down layers. A layer is a collection of stacks.
Thanks Erik, workflows haven’t been utilized when this project was conceived
I’ll try with one
2023-09-22
Hi Folks I just got acquainted with atmos … where is the best place to start my upskilling journey
did you try https://atmos.tools/category/quick-start ?
Take 20 minutes to learn the most important atmos concepts.
also, if you have any questions on how to start, ask, will be able to help
+1 for running through the quick start. I was able to get an initial base structure going last night using digital ocean. Will be getting my examples in a public repo soon to share/take feedback
2023-09-23
So thinking out loud here.. I am building a monorepo using atmos to handle a basic digital ocean infrastructure. I have some post instance configuration to automate with ansible as it’s a bit clunky to try to achieve in user-data. Is there a preferred way to have atmos run an ansible playbook that can hook into terraform state outputs to populate its inventory? Or would this be territory for some atmos custom commands? Right now I just have a task yaml in components/ansible/playbook.yaml
Here is my current layout:
|-- atmos.yaml
|-- components
| |-- ansible
| | |-- inventory
| | `-- playbook.yaml
| `-- terraform
| `-- vpc
| |-- main.tf
| |-- providers.tf
`-- stacks
|-- catalog
| `-- terraform
| `-- vpc.yaml
|-- mixins
| `-- region
| |-- globals.yaml
| `-- nyc3.yaml
`-- nyc3
`-- mystack.yaml
mystack.yaml imports
import:
- mixins/region/globals
- mixins/region/nyc3
- catalog/terraform/vpc
Right now I’m just running ansible-playbook -i components/ansible/inventory components/ansible/playbook.yaml
after atmos applies terraform.
@Andriy Knysh (Cloud Posse)
Atmos is concerned about configuration for components, it does not know anything how to work with different external tools (it know about Terraform, but that’s a special case). So you have a few choices, all of them require creating a terraform component or a shell script (which can definitely be used in an Atmos custom command)
- In the component, use https://developer.hashicorp.com/terraform/language/resources/provisioners/remote-exec to execute ansible configuration code on the remote machine
The remote-exec
provisioner invokes a script on a remote resource after it is created. This can be used to run a configuration management tool, bootstrap into a cluster, etc. To invoke a local process, see the local-exec
provisioner instead. The remote-exec
provisioner supports both ssh
and winrm
type connections.
- Use https://developer.hashicorp.com/terraform/language/resources/provisioners/local-exec to execute the ansible code on the local machine
The local-exec
provisioner invokes a local executable after a resource is created. This invokes a process on the machine running Terraform, not on the resource. See the remote-exec
provisioner to run commands on the resource.
- Use the ansible TF provider https://registry.terraform.io/providers/ansible/ansible/latest/docs to define all ansible resources in Terraform (probably the best choice b/c all the Ansible config will be in the TF state)
- Create a shell script and use it from a custom Atmos command
Once you have the new TF code (using #1, #2, or #3), you can use Atmos to configure the variables and other settings for the component, and then provision it using atmos terraform apply
@Chris Bloemker
all of the troubles above is only when you don’t want to run ansible-playbook -i components/ansible/inventory components/ansible/playbook.yaml
after you apply terraform, meaning you don’t want to run two commands instead of one
Thanks Andriy. I have worked with the provisioner before but it’s been some time, I like the idea of the ansible tf provider. I think grouping the ansible configuration into the same logical component makes sense (having the component provision the droplet instance as well as configure the app as one piece). I’m locally applying right now but want to move into s3 backend state and have GitHub actions running the atmos commands and maybe even move into Atlantis.
2023-09-24
2023-09-25
2023-09-27
Hey folks! First and foremost — thanks for this amazing tool and general positive influence on the Terraform community :muscle:
Q: Is it possible to use atmos
purely to synthesise the final stack folder with all the requires *.tf
files & configured backend, but without running the init
, plan
or any other command? The desired effect I’m searching for is pretty much what what terramate create
does.
I know there’s:
• atmos terraform generate backend
• atmos terraform generate varfile
• atmos terraform shell
But none of these seem to do what I want. Correct me if I’m wrong.
Thanks!
you can generate all or some of your TF vars files and your backend files
but you need to select the stack and or component
after that you just run init/plan/apply with pure TF
Atmos natively supports Atlantis for Terraform Pull Request Automation.
the github action atmos commands
I used that to generate all the files so that Atlantis can run just pure TF
I think OP wants to generate these files.
(this command does not exist and only for this example)
atmos create component xyz
and have these files automatically created
components/terraform/xyz/main.tf
components/terraform/xyz/outputs.tf
components/terraform/xyz/variables.tf
components/terraform/xyz/providers.tf
components/terraform/xyz/README.md
stacks/catalog/xyz.yaml
is that right @shmileee?
(we want to implement a scaffolding command like that, but we do not currently have one)
Techncially vendoring can be used. Just vendor a scaffolding repo.
cc @Andriy Knysh (Cloud Posse)
ahhhh I c
@shmileee if you want to generate these files
components/terraform/xyz/main.tf
components/terraform/xyz/outputs.tf
components/terraform/xyz/variables.tf
components/terraform/xyz/providers.tf
components/terraform/xyz/README.md
then we don’t support it currently
and in any case, we would be able generate only empty files (which is not very useful)
b/c to generate something useful, we would need to have that information somewhere
that information can be, as it currently supported, in component.yaml
file. You can create a folder components/terraform/<my-component>
and place component.yaml
file in there
then use Atmos vendoring to download the code for the component from our open source catalog https://github.com/cloudposse/terraform-aws-components, or any other location (your catalog, public repos, etc.)
Opinionated, self-contained Terraform root modules that each solve one, specific problem
Use Component Vendoring to make a copy of 3rd-party components in your own repo.
So, if my understanding is correct, then I want to generate the *.tf
files and backend for the stack, rather than component. Cause stack is higher level than component, right? I guess it’s not possible.
Offtopic: hey fellow mates from Atlantis project, just asked you the question about atmost
+ atlantis
earlier today
you will be able to generate the backend.tf for that component but as @Andriy Knysh (Cloud Posse) said you will not be able to generate the TF files to build the component skeleton/template , that is why he is suggesting to have am external repo where you have your baseline/skeleton/template backend component structure and use atmos vendor
command to pull that structure when you are working on a new component
having said that, we can def implement something like atmos generate terraform component <name>
and create empty terraform files in components/terraform/<name>
folder and add some initial stack configs in stacks/catalog/<name>/defaults.yaml
(w/o specifying values for any variables b/c we don’t have that information)