In Nomad 0.12.1 we introduced atomic job registration/deregistration, where the
new eval was written in the same raft entry. Backwards-compatibility checks were
supposed to have been removed in Nomad 1.1.0, but we missed that. This is long
safe to remove.
The eval broker's `Cancelable` method used by the cancelable eval reaper mutates
the slice of cancelable evals by removing a batch at a time from the slice. But
this method unsafely uses a read lock despite this mutation. Under normal
workloads this is likely to be safe but when the eval broker is under the heavy
load this feature is intended to fix, we're likely to have a race
condition. Switch this to a write lock, like the other locks that mutate the
eval broker state.
This changeset also adjusts the timeout to allow poorly-sized Actions runners
more time to schedule the appropriate goroutines. The test has also been updated
to use `shoenig/test/wait` so we can have sensible reporting of the results
rather than just a timeout error when things go wrong.
ACL binding rule create and deletes are always forwarded to the
authoritative region. In order to make these available in
federated regions, the leaders in these regions need to replicate
from the authoritative.
This change add the RPC ACL binding rule handlers. These handlers
are responsible for the creation, updating, reading, and deletion
of binding rules.
The write handlers are feature gated so that they can only be used
when all federated servers are running the required version.
The HTTP API handlers and API SDK have also been added where
required. This allows the endpoints to be called from the API by users
and clients.
When an evaluation is acknowledged by a scheduler, the resulting plan is
guaranteed to cover up to the `waitIndex` set by the worker based on the most
recent evaluation for that job in the state store. At that point, we no longer
need to retain blocked evaluations in the broker that are older than that index.
Move all but the highest priority / highest `ModifyIndex` blocked eval into a
canceled set. When the `Eval.Ack` RPC returns from the eval broker it will
signal a reap of a batch of cancelable evals to write to raft. This paces the
cancelations limited by how frequently the schedulers are acknowledging evals;
this should reduce the risk of cancelations from overwhelming raft relative to
scheduler progress. In order to avoid straggling batches when the cluster is
quiet, we also include a periodic sweep through the cancelable list.
* keyring: don't unblock early if rate limit burst exceeded
The rate limiter returns an error and unblocks early if its burst limit is
exceeded (unless the burst limit is Inf). Ensure we're not unblocking early,
otherwise we'll only slow down the cases where we're already pausing to make
external RPC requests.
* keyring: set MinQueryIndex on stale queries
When keyring replication makes a stale query to non-leader peers to find a key
the leader doesn't have, we need to make sure the peer we're querying has had a
chance to catch up to the most current index for that key. Otherwise it's
possible for newly-added servers to query another newly-added server and get a
non-error nil response for that key ID.
Ensure that we're setting the correct reply index in the blocking query.
Note that the "not found" case does not return an error, just an empty key. So
as a belt-and-suspenders, update the handling of empty responses so that we
don't break the loop early if we hit a server that doesn't have the key.
* test for adding new servers to keyring
* leader: initialize keyring after we have consistent reads
Wait until we're sure the FSM is current before we try to initialize the
keyring.
Also, if a key is rotated immediately following a leader election, plans that
are in-flight may get signed before the new leader has the key. Allow for a
short timeout-and-retry to avoid rejecting plans
* One-time tokens are not replicated between regions, so we don't want to enforce
that the version check across all of serf, just members in the same region.
* Scheduler: Disconnected clients handling is specific to a single region, so we
don't want to enforce that the version check across all of serf, just members in
the same region.
* Variables: enforce version check in Apply RPC
* Cleans up a bunch of legacy checks.
This changeset is specific to 1.4.x and the changes for previous versions of
Nomad will be manually backported in a separate PR.
In #14821 we fixed a panic that can happen if a leadership election happens in
the middle of an upgrade. That fix checks that all servers are at the minimum
version before initializing the keyring (which blocks evaluation processing
during trhe upgrade). But the check we implemented is over the serf membership,
which includes servers in any federated regions, which don't necessarily have
the same upgrade cycle.
Filter the version check by the leader's region.
Also bump up log levels of major keyring operations
During an upgrade to Nomad 1.4.0, if a server running 1.4.0 becomes the leader
before one of the 1.3.x servers, the old server will crash because the keyring
is initialized and writes a raft entry.
Wait until all members are on a version that supports the keyring before
initializing it.
Nomad's original autopilot was importing from a private package in Consul. It
has been moved out to a shared library. Switch Nomad to use this library so that
we can eliminate the import of Consul, which is necessary to build Nomad ENT
with the current version of the Consul SDK. This also will let us pick up
autopilot improvements shared with Consul more easily.
Making the ACL Role listing return object a stub future-proofs the
endpoint. In the event the role object grows, we are not bound by
having to return all fields within the list endpoint or change the
signature of the endpoint to reduce the list return size.
ACL Roles along with policies and global token will be replicated
from the authoritative region to all federated regions. This
involves a new replication loop running on the federated leader.
Policies and roles may be replicated at different times, meaning
the policies and role references may not be present within the
local state upon replication upsert. In order to bypass the RPC
and state check, a new RPC request parameter has been added. This
is used by the replication process; all other callers will trigger
the ACL role policy validation check.
There is a new ACL RPC endpoint to allow the reading of a set of
ACL Roles which is required by the replication process and matches
ACL Policies and Tokens. A bug within the ACL Role listing RPC has
also been fixed which returned incorrect data during blocking
queries where a deletion had occurred.
Two new periodic core jobs have been added which handle removing
expired local and global tokens from state. The local core job is
run on every leader; the global core job is only run on the leader
within the authoritative region.
When the `Full` flag is passed for key rotation, we kick off a core
job to decrypt and re-encrypt all the secure variables so that they
use the new key.
Extend the GC job to support periodic key rotation.
Update the GC process to safely support signed workload identity. We
can't GC any key used to sign a workload identity. Finding which key
was used to sign every allocation will be expensive, but there are not
that many keys. This lets us take a conservative approach: find the
oldest live allocation and ensure that we don't GC any key older than
that key.
Replication for the secure variables keyring. Because only key
metadata is stored in raft, we need to distribute key material
out-of-band from raft replication. A goroutine runs on each server and
watches for changes to the `RootKeyMeta`. When a new key is received,
attempt to fetch the key from the leader. If the leader doesn't have
the key (which may happen if a key is rotated right before a leader
transition), try to get the key from any peer.
After internal design review, we decided to remove exposing algorithm
choice to the end-user for the initial release. We'll solve nonce
rotation by forcing rotations automatically on key GC (in a core job,
not included in this changeset). Default to AES-256 GCM for the
following criteria:
* faster implementation when hardware acceleration is available
* FIPS compliant
* implementation in pure go
* post-quantum resistance
Also fixed a bug in the decoding from keystore and switched to a
harder-to-misuse encoding method.
When a server becomes leader, it will check if there are any keys in
the state store, and create one if there is not. The key metadata will
be replicated via raft to all followers, who will then get the key
material via key replication (not implemented in this changeset).
* core: allow pause/un-pause of eval broker on region leader.
* agent: add ability to pause eval broker via scheduler config.
* cli: add operator scheduler commands to interact with config.
* api: add ability to pause eval broker via scheduler config
* e2e: add operator scheduler test for eval broker pause.
* docs: include new opertor scheduler CLI and pause eval API info.
Raft v3 introduced a new API for adding and removing peers that takes
the peer ID instead of the address.
Prior to this change, Nomad would use the remote peer Raft version for
deciding which API to use, but this would not work in the scenario where
a Raft v3 server tries to remove a Raft v2 server; the code running uses
v3 so it's unable to call the v2 API.
This change uses the Raft version of the server running the code to
decide which API to use. If the remote peer is a Raft v2, it uses the
server address as the ID.
When a Nomad server becomes the Raft leader, it must perform several
actions defined in the establishLeadership function. If any of these
actions fail, Raft will think the node is the leader, but it will not
actually be able to act as a Nomad leader.
In this scenario, leadership must be revoked and transferred to another
server if possible, or the node should retry the establishLeadership
steps.
These API endpoints now return results in chronological order. They
can return results in reverse chronological order by setting the
query parameter ascending=true.
- Eval.List
- Deployment.List
The volumewatcher that runs on the leader needs to make RPC calls
rather than writing to raft (as we do in the deploymentwatcher)
because the unpublish workflow needs to make RPC calls to the
clients. This requires that the volumewatcher has access to the
leader's ACL token.
But when leadership transitions, the new leader creates a new leader
ACL token. This ACL token needs to be passed into the volumewatcher
when we enable it, otherwise the volumewatcher can find itself with a
stale token.
## Development Environment Changes
* Added stringer to build deps
## New HTTP APIs
* Added scheduler worker config API
* Added scheduler worker info API
## New Internals
* (Scheduler)Worker API refactor—Start(), Stop(), Pause(), Resume()
* Update shutdown to use context
* Add mutex for contended server data
- `workerLock` for the `workers` slice
- `workerConfigLock` for the `Server.Config.NumSchedulers` and
`Server.Config.EnabledSchedulers` values
## Other
* Adding docs for scheduler worker api
* Add changelog message
Co-authored-by: Derek Strickland <1111455+DerekStrickland@users.noreply.github.com>
Fix a panic in handling one-time auth tokens, used to support `nomad ui
--authenticate`.
If the nomad leader is a 1.1.x with some servers running as 1.0.x, the
pre-1.1.0 servers risk crashing and the cluster may lose quorum. That
can happen when `nomad authenticate -ui` command is issued, or when the
leader scans for expired tokens every 10 minutes.
Fixed#10943 .
Arguments to our logger's various write methods are evaluated eagerly, so
method calls in log parameters will always be called, regardless of log
level. Move some logger messages to the logger's `Fmt` method so that
`GoString` is evaluated lazily instead.
RPC endpoints for the user-driven APIs (`UpsertOneTimeToken` and
`ExchangeOneTimeToken`) and token expiration (`ExpireOneTimeTokens`).
Includes adding expiration to the periodic core GC job.
* Remove Managed Sinks from Nomad
Managed Sinks were a beta feature in Nomad 1.0-beta2. During the beta
period it was determined that this was not a scalable approach to
support community and third party sinks.
* update comment
* changelog
* Improve managed sink run loop and reloading
resetCh no longer needed
length of buffer equal to count of items, not count of events in each item
update equality fn name, pr feedback
clean up sink manager sink creation
* update test to reflect changes
* bad editor find and replace
* pr feedback
* Process to send events to configured sinks
This PR adds a SinkManager to a server which is responsible for managing
managed sinks. Managed sinks subscribe to the event broker and send
events to a sink writer (webhook). When changes to the eventstore are
made the sinkmanager and managed sink are responsible for reloading or
starting a new managed sink.
* periodically check in sink progress to raft
Save progress on the last successfully sent index to raft. This allows a
managed sink to resume close to where it left off in the event of a lost
server or leadership change
dereference eventsink so we can accurately use the watchch
When using a pointer to eventsink struct it was updated immediately and our reload logic would not trigger
If a core job fails more than the delivery limit, the leader will create a new
eval with the TriggeredBy field set to `failed-follow-up`.
Evaluations for core jobs have the leader's ACL, which is not valid on another
leader after an election. The `failed-follow-up` evals do not have ACLs, so
core job evals that fail more than the delivery limit or core job evals that
span leader elections will never succeed and will be re-enqueued forever. So
we should not retry with a `failed-follow-up`.
This fixes a bug where jobs may get "stuck" unprocessed that
dispropotionately affect periodic jobs around leadership transitions.
When registering a job, the job registration and the eval to process it
get applied to raft as two separate transactions; if the job
registration succeeds but eval application fails, the job may remain
unprocessed. Operators may detect such failure, when submitting a job
update and get a 500 error code, and they could retry; periodic jobs
failures are more likely to go unnoticed, and no further periodic
invocations will be processed until an operator force evaluation.
This fixes the issue by ensuring that the job registration and eval
application get persisted and processed atomically in the same raft log
entry.
Also, applies the same change to ensure atomicity in job deregistration.
Backward Compatibility
We must maintain compatibility in two scenarios: mixed clusters where a
leader can handle atomic updates but followers cannot, and a recent
cluster processes old log entries from legacy or mixed cluster mode.
To handle this constraints: ensure that the leader continue to emit the
Evaluation log entry until all servers have upgraded; also, when
processing raft logs, the servers honor evaluations found in both spots,
the Eval in job (de-)registration and the eval update entries.
When an updated server sees mix-mode behavior where an eval is inserted
into the raft log twice, it ignores the second instance.
I made one compromise in consistency in the mixed-mode scenario: servers
may disagree on the eval.CreateIndex value: the leader and updated
servers will report the job registration index while old servers will
report the index of the eval update log entry. This discripency doesn't
seem to be material - it's the eval.JobModifyIndex that matters.
