206db2f529
Introducing a new approach to testing Vault artifacts before merge and after merge/notorization/signing. Rather than run a few static scenarios across the artifacts, we now have the ability to run a pseudo random sample of scenarios across many different build artifacts. We've added 20 possible scenarios for the AMD64 and ARM64 binary bundles, which we've broken into five test groups. On any given push to a pull request branch, we will now choose a random test group and execute its corresponding scenarios against the resulting build artifacts. This gives us greater test coverage but lets us split the verification across many different pull requests. The post-merge release testing pipeline behaves in a similar fashion, however, the artifacts that we use for testing have been notarized and signed prior to testing. We've also reduce the number of groups so that we run more scenarios after merge to a release branch. We intend to take what we've learned building this in Github Actions and roll it into an easier to use feature that is native to Enos. Until then, we'll have to manually add scenarios to each matrix file and manually number the test group. It's important to note that Github requires every matrix to include at least one vector, so every artifact that is being tested must include a single scenario in order for all workflows to pass and thus satisfy branch merge requirements. * Add support for different artifact types to enos-run * Add support for different runner type to enos-run * Add arm64 scenarios to build matrix * Expand build matrices to include different variants * Update Consul versions in Enos scenarios and matrices * Refactor enos-run environment * Add minimum version filtering support to enos-run. This allows us to automatically exclude scenarios that require a more recent version of Vault * Add maximum version filtering support to enos-run. This allows us to automatically exclude scenarios that require an older version of Vault * Fix Node 12 deprecation warnings * Rename enos-verify-stable to enos-release-testing-oss * Convert artifactory matrix into enos-release-testing-oss matrices * Add all Vault editions to Enos scenario matrices * Fix verify version with complex Vault edition metadata * Rename the crt-builder to ci-helper * Add more version helpers to ci-helper and Makefile * Update CODEOWNERS for quality team * Add support for filtering matrices by group and version constraints * Add support for pseudo random test scenario execution Signed-off-by: Ryan Cragun <me@ryan.ec>
Vault 
Please note: We take Vault's security and our users' trust very seriously. If you believe you have found a security issue in Vault, please responsibly disclose by contacting us at security@hashicorp.com.
- Website: https://www.vaultproject.io
- Announcement list: Google Groups
- Discussion forum: Discuss
- Documentation: https://www.vaultproject.io/docs/
- Tutorials: HashiCorp's Learn Platform
- Certification Exam: Vault Associate
Vault is a tool for securely accessing secrets. A secret is anything that you want to tightly control access to, such as API keys, passwords, certificates, and more. Vault provides a unified interface to any secret, while providing tight access control and recording a detailed audit log.
A modern system requires access to a multitude of secrets: database credentials, API keys for external services, credentials for service-oriented architecture communication, etc. Understanding who is accessing what secrets is already very difficult and platform-specific. Adding on key rolling, secure storage, and detailed audit logs is almost impossible without a custom solution. This is where Vault steps in.
The key features of Vault are:
-
Secure Secret Storage: Arbitrary key/value secrets can be stored in Vault. Vault encrypts these secrets prior to writing them to persistent storage, so gaining access to the raw storage isn't enough to access your secrets. Vault can write to disk, Consul, and more.
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Dynamic Secrets: Vault can generate secrets on-demand for some systems, such as AWS or SQL databases. For example, when an application needs to access an S3 bucket, it asks Vault for credentials, and Vault will generate an AWS keypair with valid permissions on demand. After creating these dynamic secrets, Vault will also automatically revoke them after the lease is up.
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Data Encryption: Vault can encrypt and decrypt data without storing it. This allows security teams to define encryption parameters and developers to store encrypted data in a location such as a SQL database without having to design their own encryption methods.
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Leasing and Renewal: All secrets in Vault have a lease associated with them. At the end of the lease, Vault will automatically revoke that secret. Clients are able to renew leases via built-in renew APIs.
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Revocation: Vault has built-in support for secret revocation. Vault can revoke not only single secrets, but a tree of secrets, for example, all secrets read by a specific user, or all secrets of a particular type. Revocation assists in key rolling as well as locking down systems in the case of an intrusion.
Documentation, Getting Started, and Certification Exams
Documentation is available on the Vault website.
If you're new to Vault and want to get started with security automation, please check out our Getting Started guides on HashiCorp's learning platform. There are also additional guides to continue your learning.
For examples of how to interact with Vault from inside your application in different programming languages, see the vault-examples repo. An out-of-the-box sample application is also available.
Show off your Vault knowledge by passing a certification exam. Visit the certification page for information about exams and find study materials on HashiCorp's learning platform.
Developing Vault
If you wish to work on Vault itself or any of its built-in systems, you'll first need Go installed on your machine.
For local dev first make sure Go is properly installed, including setting up a
GOPATH. Ensure that $GOPATH/bin is in
your path as some distributions bundle the old version of build tools. Next, clone this
repository. Vault uses Go Modules,
so it is recommended that you clone the repository outside of the GOPATH.
You can then download any required build tools by bootstrapping your environment:
$ make bootstrap
...
To compile a development version of Vault, run make or make dev. This will
put the Vault binary in the bin and $GOPATH/bin folders:
$ make dev
...
$ bin/vault
...
To compile a development version of Vault with the UI, run make static-dist dev-ui. This will
put the Vault binary in the bin and $GOPATH/bin folders:
$ make static-dist dev-ui
...
$ bin/vault
...
To run tests, type make test. Note: this requires Docker to be installed. If
this exits with exit status 0, then everything is working!
$ make test
...
If you're developing a specific package, you can run tests for just that
package by specifying the TEST variable. For example below, only
vault package tests will be run.
$ make test TEST=./vault
...
Importing Vault
This repository publishes two libraries that may be imported by other projects:
github.com/hashicorp/vault/api and github.com/hashicorp/vault/sdk.
Note that this repository also contains Vault (the product), and as with most Go
projects, Vault uses Go modules to manage its dependencies. The mechanism to do
that is the go.mod file. As it happens, the presence of that file
also makes it theoretically possible to import Vault as a dependency into other
projects. Some other projects have made a practice of doing so in order to take
advantage of testing tooling that was developed for testing Vault itself. This
is not, and has never been, a supported way to use the Vault project. We aren't
likely to fix bugs relating to failure to import github.com/hashicorp/vault
into your project.
Acceptance Tests
Vault has comprehensive acceptance tests covering most of the features of the secret and auth methods.
If you're working on a feature of a secret or auth method and want to verify it is functioning (and also hasn't broken anything else), we recommend running the acceptance tests.
Warning: The acceptance tests create/destroy/modify real resources, which may incur real costs in some cases. In the presence of a bug, it is technically possible that broken backends could leave dangling data behind. Therefore, please run the acceptance tests at your own risk. At the very least, we recommend running them in their own private account for whatever backend you're testing.
To run the acceptance tests, invoke make testacc:
$ make testacc TEST=./builtin/logical/consul
...
The TEST variable is required, and you should specify the folder where the
backend is. The TESTARGS variable is recommended to filter down to a specific
resource to test, since testing all of them at once can sometimes take a very
long time.
Acceptance tests typically require other environment variables to be set for things such as access keys. The test itself should error early and tell you what to set, so it is not documented here.
For more information on Vault Enterprise features, visit the Vault Enterprise site.