The summary here is:
- Move test/cert-ceremonies to test/certs
- Move .hierarchy (generated by the above) to test/certs/webpki
- Remove our mapping of .hierarchy to /hierarchy inside docker
- Move test/grpc-creds to test/certs/ipki
- Unify the generation of both test/certs/webpki and test/certs/ipki
into a single script at test/certs/generate.sh
- Make that script the entrypoint of a new docker compose service
- Have t.sh and tn.sh invoke that service to ensure keys and certs are
created before tests run
No production changes are necessary, the config changes here are just
for testing purposes.
Part of https://github.com/letsencrypt/boulder/issues/7476
- Consistently format existing test JSON config files
- Add a small Python script which loads and dumps JSON files
- Add CI JSON lint test to CI
---------
Co-authored-by: Aaron Gable <aaron@aarongable.com>
- Add a new gRPC client config field which overrides the dNSName checked in the
certificate presented by the gRPC server.
- Revert all test gRPC credentials to `<service>.boulder`
- Revert all ClientNames in gRPC server configs to `<service>.boulder`
- Set all gRPC clients in `test/config` to use `serverAddress` + `hostOverride`
- Set all gRPC clients in `test/config-next` to use `srvLookup` + `hostOverride`
- Rename incorrect SRV record for `ca` with port `9096` to `ca-ocsp`
- Rename incorrect SRV record for `ca` with port `9106` to `ca-crl`
Resolves#6424
- Add a dedicated Consul container
- Replace `sd-test-srv` with Consul
- Add documentation for configuring Consul
- Re-issue all gRPC credentials for `<service-name>.service.consul`
Part of #6111
Honeycomb was emitting logs directly to stderr like this:
```
WARN: Missing API Key.
WARN: Dataset is ignored in favor of service name. Data will be sent to service name: boulder
```
Fix this by providing a fake API key and replacing "dataset" with "serviceName" in configs. Also add missing Honeycomb configs for crl-updater.
For stdout-only logger, include checksums and escape newlines.
This copies over settings from config-next that are now deployed in prod.
Also, I updated a comment in sd-test-srv to more accurately describe how SRV records work.
- Add new configuration key `throughput`, a mapping which contains all
throughput related akamai-purger settings.
- Deprecate configuration key `purgeInterval` in favor of `purgeBatchInterval` in
the new `throughput` configuration mapping.
- When no `throughput` or `purgeInterval` is provided, the purger uses optimized
default settings which offer 1.9x the throughput of current production settings.
- At startup, all throughput related settings are modeled to ensure that we
don't exceed the limits imposed on us by Akamai.
- Queue is now `[][]string`, instead of `[]string`.
- When a given queue entry is purged we know all 3 of it's URLs were purged.
- At startup we know the size of a theoretical request to purge based on the
number of queue entries included
- Raises the queue size from ~333-thousand cached OCSP responses to
1.25-million, which is roughly 6 hours of work using the optimized default
settings
- Raise `purgeInterval` in test config from 1ms, which violates API limits, to 800ms
Fixes#5984
Instead of using the default `json.Unmarshal`, explicitly
construct and use a `json.Decoder` so that we can set the
`DisallowUnknownFields` flag on the decoder. This causes
any unrecognized config keys to result in errors at boulder
startup time.
Fixes#5643
Add Honeycomb tracing to all Boulder components which act as
HTTP servers, gRPC servers, or gRPC clients. Add many values
which we currently emit to logs to the trace spans. Add a way to
configure the Honeycomb integration to our config files, and by
default configure all of our tests to "mute" (send nothing).
Followup changes will refine the configuration, attempt to reduce
the new dependency load, and introduce better sampling.
Part of https://github.com/letsencrypt/dev-misc-tickets/issues/218
These configs contained a `common.issuerCert` field which is not
read or used by the akamai-purger service. This change removes
is for clarity.
In addition, these files had irregular indentation. This change cleans
them up to use two-space indents throughout.
This adds a new tool, `health-checker`, which is a client of the new
Health Checker Service that has been integrated into all of our
boulder components. This tool takes an address, a timeout, and a
config file. It then attempts to connect to a gRPC Health Service at
the given address, retrying until it hits its timeout, using credentials
specified by the config file.
This is then wrapped by a new function `waithealth` in our Python
helpers, which serves much the same function as `waitport`, but
specifically for services which surface a gRPC Health Service
This in turn requires slight modifications to `startservers`, namely
specifying the address and port on which each service starts its
gRPC listener.
Finally, this change also introduces new credentials for this
health-checker, and adds those credentials as a valid client to
all services' json configs. A similar change would have to be made
to our production configs if we were to establish a long-lived
health checker/prober in prod.
Fixes#5074
This ended up taking a lot more work than I expected. In order to make the implementation more robust a bunch of stuff we previously relied on has been ripped out in order to reduce unnecessary complexity (I think I insisted on a bunch of this in the first place, so glad I can kill it now).
In particular this change:
* Removes bhsm and pkcs11-proxy: softhsm and pkcs11-proxy don't play well together, and any softhsm manipulation would need to happen on bhsm, then require a restart of pkcs11-proxy to pull in the on-disk changes. This makes manipulating softhsm from the boulder container extremely difficult, and because of the need to initialize new on each run (described below) we need direct access to the softhsm2 tools since pkcs11-tool cannot do slot initialization operations over the wire. I originally argued for bhsm as a way to mimic a network attached HSM, mainly so that we could do network level fault testing. In reality we've never actually done this, and the extra complexity is not really realistic for a handful of reasons. It seems better to just rip it out and operate directly on a local softhsm instance (the other option would be to use pkcs11-proxy locally, but this still would require manually restarting the proxy whenever softhsm2-util was used, and wouldn't really offer any realistic benefit).
* Initializes the softhsm slots on each integration test run, rather than when creating the docker image (this is necessary to prevent churn in test/cert-ceremonies/generate.go, which would need to be updated to reflect the new slot IDs each time a new boulder-tools image was created since slot IDs are randomly generated)
* Installs softhsm from source so that we can use a more up to date version (2.5.0 vs. 2.2.0 which is in the debian repo)
* Generates the root and intermediate private keys in softhsm and writes out the root and intermediate public keys to /tmp for use in integration tests (the existing test-{ca,root} certs are kept in test/ because they are used in a whole bunch of unit tests. At some point these should probably be renamed/moved to be more representative of what they are used for, but that is left for a follow-up in order to keep the churn in this PR as related to the ceremony work as possible)
Another follow-up item here is that we should really be zeroing out the database at the start of each integration test run, since certain things like certificates and ocsp responses will be signed by a key/issuer that is no longer is use/doesn't match the current key/issuer.
Fixes#4832.
For now this mainly provides an example config and confirms that
log-validator can start up and shut down cleanly, as well as provide a
stat indicating how many log lines it has handled.
This introduces a syslog config to the boulder-tools image that will write
logs to /var/log/program.log. It also tweaks the various .json config
files so they have non-default syslogLevel, to ensure they actually
write something for log-validator to verify.
Aaron Gable