Policy as Code for Python is now GA in Pulumi 2.0. Policies written in code let you test, automate deployment, and enable version control. Python is a popular scripting language used for machine learning and artificial intelligence, data science, web development, and devops. It’s an ideal language for developers and operators to use in common.
Writing infrastructure policy in a high-level programming language helps automate and enforce best practices. When policies are written with code, you can apply software development practices such as testing, automated deployment, and version control. Cloud providers typically offer a GUI to create policies, but creating policies is not easily repeatable, nor can you version policies. Moreover, policies must be tested against a live system, which means using an existing system or configuring and deploying an ephemeral version.
While the benefits of writing policies as code are evident for developers and operators, the organizational benefits are even more significant. Organizations can realize cost savings, improved compliance, efficient deployments, fine-grained control over infrastructure, and better use of cloud provider native resources. Let’s take a look at these benefits in-depth.
In a previous blog post, I introduced CrossGuard, Pulumi’s Policy as Code solution. As part of our 2.0 release, CrossGuard is now generally available and has some awesome new features to improve the user experience around managing Policy Packs.
AWS publishes best practices for how to tag your resources for cost tracking, automation, and organization. But how do you enforce that you’re doing it correctly across all of your projects? And is it really necessary to manually track down all those places where you missed a tag and manually patch things up? In this article, we’ll see how to use Policy as Code to enforce your team’s tagging strategies in addition to some powerful Infrastructure as Code techniques to automate applying your tags in a consistent way across all of your projects and resources.
In an earlier article, we introduced examples of Policy as Code to prevent two of the most common causes of data breaches. Policies are the guardrails of infrastructure. They control access, set limits, and manage how infrastructure operates. In many systems, policies are created by clicking on a GUI, making it difficult to replicate or version. Pulumi implements policy by writing it in Typescript, which ensures that you can write policies using software development practices such as automated testing, deployment, and version control.
Modern applications have brought many benefits and improvements, including the ability to scale and rapid iterations to update software. However, this has come at the cost of complexity. Modern infrastructure is composed of many resources that require detailed configuration to work correctly and securely. Even managed solutions from cloud service providers need additional configuration to ensure that services are secure and free of defects. Cloud providers, such as AWS, do allow you to create policies to ensure that applications are secure, but they are specific to resources that are already deployed. A significant benefit of Policy as Code is the ability to verify and spot problems before deploying your infrastructure.
We recently announced a new policy as code solution, CrossGuard that validates policies at deployment time. Policies are expressed as code and are used to prevent the creation of out-of-compliance resources. This allows an organization to prevent entire classes of security and reliability defects to ensure infrastructure is following best practices. Because policies are written using full-blown programming languages, it’s possible to do interesting things such as combining IAM Access Analyzer and Pulumi CrossGuard. In this post, we’ll take a closer look at the different types of policies that can be written.
Yesterday AWS announced an exciting new feature — the AWS Identity and Access Management (IAM) Access Analyzer — a service powered by automated reasoning that detects potentially-insecure access to your AWS resources, including S3 Buckets, SQS Queues, Lambdas, and more. At the same time, Pulumi announced a new policy as code solution, CrossGuard, that validates policies at deployment time. The question is: Can IAM Access Analyzer and Pulumi CrossGuard be combined to get the best of both solutions?
Over the past few months, we have been hard at work on Pulumi CrossGuard, a Policy as Code solution. Using CrossGuard, you can express flexible business and security rules using code. CrossGuard enables organization administrators to enforce these policies across their organization or just on specific stacks. CrossGuard allows you to verify or enforce custom policies on changes before they are applied to your resources. CrossGuard is 100% open source and available to all users of Pulumi, including the Community Edition. Advanced organization-wide policy management features are available to Team Pro and Enterprise customers.