4 Commits

Author SHA1 Message Date
Ryan Cragun
c8e6169d5d
VAULT-31402: Add verification for all container images (#28605)
* VAULT-31402: Add verification for all container images

Add verification for all container images that are generated as part of
the build. Before this change we only ever tested a limited subset of
"default" containers based on Alpine Linux that we publish via the
Docker hub and AWS ECR.

Now we support testing all Alpine and UBI based container images. We
also verify the repository and tag information embedded in each by
deploying them and verifying the repo and tag metadata match our
expectations.

This does change the k8s scenario interface quite a bit. We now take in
an archive image and set image/repo/tag information based on the
scenario variants.

To enable this I also needed to add `tar` to the UBI base image. It was
already available in the Alpine image and is used to copy utilities to
the image when deploying and configuring the cluster via Enos.

Since some images contain multiple tags we also add samples for each
image and randomly select which variant to test on a given PR.

Signed-off-by: Ryan Cragun <me@ryan.ec>
2024-10-07 10:16:22 -06:00
Luis (LT) Carbonell
146ad63256
Add build for FIPS ARM Docker images (#28310)
* Add build for FIPS ARM Docker images

* arm64 build
2024-09-11 15:07:34 -04:00
Ryan Cragun
842dff8342
[QT-711] actions: use next generation CRT actions (#26882)
Update the Github Actions pins to use the next generation of actions
that are supported by CRT.

In some cases these are simply to resolve Node 16 deprecations. In
others, we can now use `action/upload-artifact@v4` and
`actions/download-artifact@v4` since the next generation of actions like
`hashicorp/actions-docker-build@v2` and
`hashicorp/actions-persist-metadata@v2` use the `v4` versions of these.

Signed-off-by: Ryan Cragun <me@ryan.ec>
2024-05-08 15:17:20 -06:00
Ryan Cragun
89c75d3d7c
[QT-637] Streamline our build pipeline (#24892)
Context
-------
Building and testing Vault artifacts on pull requests and merges is
responsible for about 1/3rd of our overall spend on Vault CI. Of the
artifacts that we ship as part of a release, we do Enos testing scenarios
on the `linux/amd64` and `linux/arm64` binaries and their derivative
artifacts. The extended build artifacts for non-Linux platforms or less
common machine architectures are not tested at this time. They are built,
notarized, and signed as part of every pull request update and merge. As
we don't actually test these artifacts, the only gain we get from this
rather expensive behavior is that we wont merge a change that would prevent
Vault from building on one of the extended targets. Extended platform or
architecture changes are quite rare, so performing this work as frequently
as we do is costly in both monetary and developer time for little relative
safety benefit.

Goals
-----
Rethink and implement how and when we build binaries and artifacts of Vault
so that we can spend less money on repetitive work and while also reducing
the time it takes for the build and test pipelines to complete.

Solution
--------
Instead of building all release artifacts on every push, we'll opt to build
only our testable (core) artifacts. With this change we are introducing a
bit of risk. We could merge a change that breaks an extended platform and
only find out after the fact when we trigger a complete build for a release.
We'll hedge against that risk by building all of the release targets on a
scheduled cadence to ensure that they are still buildable.

We'll make building all of the targets optional on any pull request by
use of a `build/all` label on the pull request.

Further considerations
----------------------
* We want to reduce the total number of workflows and runners for all of our
  pipelines if possible. As each workflow runner has infrastructure cost and
  runner time penalties, using a single runner over many is often preferred.
* Many of our jobs runners have been optimized for cost and performance. We
  should simplify the choices of which runners to use.
* CRT requires us to use the same build workflow in both CE and Ent.
  Historically that meant that modifying `build.yml` in CE would result in a
  merge conflict with `build.yml` in Ent, and break our merge workflows.
* Workflow flow control in both `build.yml` and `ci.yml` can be quite
  complicated, as each needs to maintain compatibility whether executed as CE
  or Ent, and when triggered with various Github events like pull_request,
  push, and workflow_call, each with their own requirements.
* Many jobs utilize similar patterns of flow control and metadata but are not
  reusable.
* Workflow call depth has a maximum of four, so we need to be quite
  considerate when calling other workflows.
* Called workflows can only have 10 inputs.

Implementation
--------------
* Refactor the `build.yml` workflow to be agnostic to whether or not it is
  executing in CE or Ent. That makes future updates to the build much easier
  as we won't have to worry about merge conflicts when the change is merged
  downstream.
* Extract common steps in workflows into composite actions that we can reuse.
* Fix bugs where some but not all workflows would use different Git
  references when building and testing a pull request.
* We rewrite the application, docs, and UI change helpers as a composite
  action. This allows us to re-use this logic to make consistent behavior
  choices across build and CI.
* We combine several `build.yml` and `ci.yml` jobs into our final job.
  This reduces the number of workflows required for the same behavior while
  saving time overall.
* Update most of our action pins.

Results
-------

| Metric            | Before   | After   | Diff  |
|-------------------|----------|---------|-------|
| Duration:         | ~14-18m  | ~15-18m | ~ =   |
| Workflows:        | 43       | 18      | - 58% |
| Billable time:    | ~1h15m   | 16m     | - 79% |
| Saved artifacts:  | 34       | 12      | - 65% |

Infra costs should map closely to billable time.
Network I/O costs should map closely to the workflow count.
Storage costs should map directly with saved artifacts.

We could probably get parity with duration by getting more clever with
our UBI container build, as that's where we're seeing the increase. I'm
not yet concerned as it takes roughly the same time for this job to
complete as it did before.

While the CI workflow was not the focus on the PR, some shared
refactoring does show some marginal improvements there.

| Metric            | Before   | After    | Diff   |
|-------------------|----------|----------|--------|
| Duration:         | ~24m     | ~12.75m  | - 15%  |
| Workflows:        | 55       | 47       | - 8%   |
| Billable time:    | ~4h20m   | ~3h36m   | - 7%   |

Further focus on streamlining the CI workflows would likely result in a
few more marginal improvements, but nothing on the order like we've seen
with the build workflow.

Signed-off-by: Ryan Cragun <me@ryan.ec>
2024-02-06 21:11:33 +00:00