atmos VS OPA (Open Policy Agent)

This is why we created atmos to make it easier to manage large multi-account architectures. As a result, our components are reusable across organizations, regardless of how many accounts and regions they operate, and we minimize the snowflakes. And we avoid code generation, which is hard to thoroughly test in an automated fashion. Without naming names, lots of tools for terraform rely on code generation, but I see it as an anti-pattern that should be avoided.

sorry did not find anything advanced. A better tool to make terraform scaleable is https://atmos.tools

Workspaces are incredibly practical, and we leveraging them at-scale with literally thousands of workspaces using atmos for terraform. There is so much FUD around workspaces that is either ill-informed or based on outdated information. Any company using terraform at scale will rely on tooling and conventions. It's up to that tooling to ensure you are using terraform safely. Atmos is one of those tools. I'm not saying that you have to use workspaces, but just that there's nothing wrong with workspaces themselves.

Check out atmos for a fresh take at managing terraform configurations and terraform workflows. Instead of managing HCL `.tfvar` files manually for configuration, it uses YAML, and supports concepts of imports (via deep merging), remote imports (anything supported by gogetter), mixins, inheritance, multiple-inheritance, vendoring of root modules, workflows, task runners (via custom subcommands), and much more. There's a bit of a learning curve and mind-shift required if coming from a Terragrunt background, but the experience is mindblowing after switching to it. Also, it's not limited to terraform.

We obviously don't have a project for your exact use case, but we have an open-source example repo that shows a fairly advanced scenario of using the Terraform Spacelift Provider https://github.com/spacelift-io/demo-preview-environments-manager, a simple quickstart of using it https://github.com/spacelift-io/terraform-starter and you can also see the CloudPosse Atmos project, for a very advanced scenario which generates lot's of Stacks based on your component specifications https://github.com/cloudposse/atmos.

How can we handle this? Are there any mechanisms to prevent or at least to some extent safeguard this kind of issues without falling back to a manual workflow? There is. One huge advantage of sticking to (de-facto) standards like Terraform is that first we are probably not the first ones to come up with this question and second there is a huge ecosystem around Terraform that might help us with such challenges. And for this specific scenario the solution is the Open Policy Agent. Let us take a closer look how the solution could look like.

A popular Policy-as-Code tool for Terraform is OPA, everyone's favorite versatile open-source policy engine that enforces security and compliance policies across your cloud-native stack, making it easier to manage and maintain consistent policy enforcement in complex, multi-service environments.

Harness Policy As Code uses Open Policy Agent (OPA) as the central service to store and enforce policies for the different entities and processes across the Harness platform. In this section, you will define a policy that will deny a pipeline execution if there is no approval step defined in a deployment stage.

OPA: While OPA is an open-source, general-purpose policy engine capable of enforcing unified and context-aware policies throughout the stack, it can also accept and output data in formats such as JSON, effectively functioning as a tool for generating or modifying configurations. Although it does not provide out-of-the-box schema definition support, it allows the integration of JsonSchema definitions.

In essence, container image signing involves adding a digital stamp to an image, affirming its authenticity. This digital assurance guarantees that the image is unchanged from creation to deployment. In this blog, I'll explain how to sign container images for Kubernetes using Cosign and the Open Policy Agent. I will also share a tutorial that demonstrates these concepts.

In this post we will explores two powerful solutions for addressing this issue: the Open Policy Language (OPA) and Google’s Zanzibar.

Rego is a declarative query language from the makers of the Open Policy Agent (OPA) framework. The Cloud Native Computing Foundation (CNCF) accepted OPA as an incubation-level hosted project in April 2019, and OPA graduated from incubating status in 2021.

Now there are more subdivided practice: * Policy as Code: Sentinel, OPA * Database as Code: bytebase * AppConfiguration as Code: KusionStack, Acorn * ...... (Welcome to add more)