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DESIGN.md

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TLS Provider Design

The TLS Provider offers a small surface area compared to other providers (like AWS, Google, Azure, ...), and focuses on covering the needs of working with entities like keys and certificates, that are part of Transport Layer Security.

Below we have a collection of Goals and Patterns: they represent the guiding principles applied during the development of this provider. Some are in place, others are ongoing processes, others are still just inspirational.

Goals

About formats and key algorithms

Cryptography and security are an evolving and changing subject; for this reason the set of technologies supported will need to be reassessed over time by the maintenance team, while also evaluating incoming feature requests.

Patterns

Specific to this provider:

  • Consistency: once a format or algorithm is adopted, all resources and data sources should support it (if appropriate)
  • PEM and OpenSSH PEM: Entities that support PEM (RFC 1421) should also support OpenSSH PEM (RFC 4716), unless there is a good reason not to.
  • No "security by obscurity": We should be clear in implementation and documentation that this provider doesn't provide "security" per se, but it's up to the practitioner to ensure it, by setting in place the right infrastructure, like storing the Terraform state in accordance with recommendations.

General to development:

  • Avoid repetition: the entities managed can sometimes require similar pieces of logic and/or schema to be realised. When this happens it's important to keep the code shared in communal sections, so to avoid having to modify code in multiple places when they start changing.
  • Test expectations as well as bugs: While it's typical to write tests to exercise a new functionality, it's key to also provide tests for issues that get identified and fixed, so to prove resolution as well as avoid regression.
  • Automate boring tasks: Processes that are manual, repetitive and can be automated, should be. In addition to be a time-saving practice, this ensures consistency and reduces human error (ex. static code analysis).
  • Semantic versioning: Adhering to HashiCorp's own Versioning Specification ensures we provide a consistent practitioner experience, and a clear process to deprecation and decommission.