88118dce0f
* Add max_parallel parameter to MySQL backend. This limits the number of concurrent connections, so that vault does not die suddenly from "Too many connections". This can happen when e.g. vault starts up, and tries to load all the existing leases in parallel. At the time of writing this, the value ExpirationRestoreWorkerCount in vault/helper/consts/const.go is set to 64, meaning that if there are enough leases in the vault's DB, it will generate AT LEAST 64 concurrent connections to MySQL when loading the data during start-up. On certain configurations, e.g. smaller AWS RDS/Aurora instances, this will cause Vault to fail startup. * Fix a typo in mysql storage readme |
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|---|---|---|
| api | ||
| audit | ||
| builtin | ||
| cli | ||
| command | ||
| helper | ||
| http | ||
| logical | ||
| meta | ||
| physical | ||
| plugins | ||
| scripts | ||
| shamir | ||
| terraform/aws | ||
| vault | ||
| vendor | ||
| version | ||
| website | ||
| .gitattributes | ||
| .gitignore | ||
| .travis.yml | ||
| CHANGELOG.md | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| Makefile | ||
| README.md | ||
| main.go | ||
| main_test.go | ||
| make.bat | ||
README.md
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
- IRC:
#vault-toolon Freenode - Announcement list: Google Groups
- Discussion list: Google Groups
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.
-
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.
-
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 SQL without having to design their own encryption methods.
-
Leasing and Renewal: All secrets in Vault have a lease associated with it. At the end of the lease, Vault will automatically revoke that secret. Clients are able to renew leases via built-in renew APIs.
-
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.
For more information, see the introduction section of the Vault website.
Getting Started & Documentation
All documentation is available on the Vault website.
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 (version 1.8+ is required).
For local dev first make sure Go is properly installed, including setting up a
GOPATH. Next, clone this repository
into $GOPATH/src/github.com/hashicorp/vault. 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 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
...
Acceptance Tests
Vault has comprehensive acceptance tests covering most of the features of the secret and auth backends.
If you're working on a feature of a secret or auth backend 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.