Commit Graph
7 Commits
Author SHA1 Message Date
fcdc598320 fix: correct river otel metrics units (#10425)
# Which Problems Are Solved

The
[otelriver](https://github.com/riverqueue/rivercontrib/tree/master/otelriver)
package uses default otel histogram buckets that are designed for
millisecond measurements. OTEL docs also suggest standardizing on using
seconds as the measurement unit. However, the default buckets from
opentelemetry-go are more or less useless when used with seconds as the
smallest measurement is 5 seconds and the largest is nearly 3 hours.
Example:
```
river_work_duration_histogram_seconds_bucket{attempt="1",kind="notification_request",otel_scope_name="github.com/riverqueue/rivercontrib/otelriver",otel_scope_version="",priority="1",queue="notification",status="ok",tag="[]",le="0"} 0
river_work_duration_histogram_seconds_bucket{attempt="1",kind="notification_request",otel_scope_name="github.com/riverqueue/rivercontrib/otelriver",otel_scope_version="",priority="1",queue="notification",status="ok",tag="[]",le="5"} 1144
river_work_duration_histogram_seconds_bucket{attempt="1",kind="notification_request",otel_scope_name="github.com/riverqueue/rivercontrib/otelriver",otel_scope_version="",priority="1",queue="notification",status="ok",tag="[]",le="10"} 1144
<...more buckets here...>
river_work_duration_histogram_seconds_bucket{attempt="1",kind="notification_request",otel_scope_name="github.com/riverqueue/rivercontrib/otelriver",otel_scope_version="",priority="1",queue="notification",status="ok",tag="[]",le="7500"} 1144
river_work_duration_histogram_seconds_bucket{attempt="1",kind="notification_request",otel_scope_name="github.com/riverqueue/rivercontrib/otelriver",otel_scope_version="",priority="1",queue="notification",status="ok",tag="[]",le="10000"} 1144
river_work_duration_histogram_seconds_bucket{attempt="1",kind="notification_request",otel_scope_name="github.com/riverqueue/rivercontrib/otelriver",otel_scope_version="",priority="1",queue="notification",status="ok",tag="[]",le="+Inf"} 1144
```

# How the Problems Are Solved

Change the default unit to "ms" from "s" as supported by the middleware
API:
https://riverqueue.com/docs/open-telemetry#list-of-middleware-options

# Additional Changes

None

# Additional Context

None

Co-authored-by: Tim Möhlmann <[email protected]>
2025-09-01 10:31:18 +00:00
532932ef94 fix: drop default otel scope info from metrics (#10306)
# Which Problems Are Solved

Currently, the prometheus endpoint metrics contain otel specific labels
that increase the overall metric size to the point that the exemplar
implementation in the underlying prom exporter library throws an error,
see https://github.com/zitadel/zitadel/issues/10047. The MaxRuneSize for
metric refs in exemplars is 128 and many of metrics cross this because
of `otel_scope_name`.

# How the Problems Are Solved

This change drops those otel specific labels on the prometheus exporter:
`otel_scope_name` and `otel_scope_version`

Current metrics example: 
```
http_server_duration_milliseconds_bucket{http_method="GET",http_status_code="200",otel_scope_name="go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp",otel_scope_version="0.53.0",le="0"} 0
http_server_duration_milliseconds_bucket{http_method="GET",http_status_code="200",otel_scope_name="go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp",otel_scope_version="0.53.0",le="5"} 100
http_server_duration_milliseconds_bucket{http_method="GET",http_status_code="200",otel_scope_name="go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp",otel_scope_version="0.53.0",le="10"} 100
...
grpc_server_grpc_status_code_total{grpc_method="/zitadel.admin.v1.AdminService/ListIAMMemberRoles",otel_scope_name="",otel_scope_version="",return_code="200"} 3
grpc_server_grpc_status_code_total{grpc_method="/zitadel.admin.v1.AdminService/ListIAMMembers",otel_scope_name="",otel_scope_version="",return_code="200"} 3
grpc_server_grpc_status_code_total{grpc_method="/zitadel.admin.v1.AdminService/ListMilestones",otel_scope_name="",otel_scope_version="",return_code="200"} 1
```

New example: 
```
http_server_duration_milliseconds_bucket{http_method="GET",http_status_code="200",le="10"} 8
http_server_duration_milliseconds_bucket{http_method="GET",http_status_code="200",le="25"} 8
http_server_duration_milliseconds_bucket{http_method="GET",http_status_code="200",le="50"} 9
http_server_duration_milliseconds_bucket{http_method="GET",http_status_code="200",le="75"} 9
...
grpc_server_grpc_status_code_total{grpc_method="/zitadel.admin.v1.AdminService/GetSupportedLanguages",return_code="200"} 1
grpc_server_grpc_status_code_total{grpc_method="/zitadel.admin.v1.AdminService/ListMilestones",return_code="200"} 1
grpc_server_grpc_status_code_total{grpc_method="/zitadel.auth.v1.AuthService/GetMyLabelPolicy",return_code="200"} 3
```

# Additional Changes

None

# Additional Context

From my understanding, this change is fully spec compliant with
Prometheus and Otel:
*
https://opentelemetry.io/docs/specs/otel/compatibility/prometheus_and_openmetrics/#instrumentation-scope

However, these tags were originally added as optional labels to
disambiguate metrics. But I'm not sure we need to care about that right
now? My gut feeling is that exemplar support (the ability for traces to
reference metrics) would be a preferable tradeoff to this label
standard.

Co-authored-by: Silvan <[email protected]>
2025-08-14 12:44:37 +00:00
d4222d6fd6 fix: don't trigger session projection on notification handling (#10298)
# Which Problems Are Solved

There is an outstanding bug wherein a session projection can fail to
complete and an session OTP challenge is blocked because the projection
doesn't exist. Not sure why the session projection can fail to persist -
I can't find any error logs or failed events to crosscheck. However, I
can clearly see the session events persisted with user/password checks
and the OTP challenged added on the session - but no session projection
on sessions8 table.

This only seems to come up under somewhat higher loads - about 5
logins/s and only for about 1% of cases. (where a "login" is:
authRequest, createSession, getAuthCodeWithSession, tokenExchange, and
finally, otpSmsChallenge...💥).

# How the Problems Are Solved

This is only half a fix, but an important one as it can block login for
affected users. Instead of triggering and checking the session
projection on notification enqueuing, build a write model directly from
the ES.

# Additional Changes

# Additional Context

This doesn't touch the "legacy" notification handler as to limit the
blast radius of this change. But might be worth adding there too.

The test is difficult to update correctly so is somewhat incomplete. Any
suggestions for refactoring or test helpers I'm missing would be
welcome.

Co-authored-by: Silvan <[email protected]>
2025-08-04 13:33:01 +00:00
8cb1d24b36 fix: add user id index on sessions8 (#9834)
# Which Problems Are Solved

When a user changes their password, Zitadel needs to terminate all of
that user's active sessions. This query can take many seconds on
deployments with large session and user tables. This happens as part of
session projection handling, so doesn't directly impact user experience,
but potentially bogs down the projection handler which isn't great. In
the future, this index could be used to power a "see all of my current
sessions" feature in Zitadel.

# How the Problems Are Solved

Adds new index on `user_id` column on `projections.sessions8` table.
Alternatively, we can index on `(instance_id, user_id)` instead but
opted for keeping the index smaller as we already index on `instance_id`
separately.

# Additional Changes

None

# Additional Context

None

---------

Co-authored-by: Silvan <[email protected]>
2025-05-06 06:38:19 +00:00
c1535b7b49 feat: add prometheus metrics on projection handlers (#9561)
# Which Problems Are Solved

With current provided telemetry it's difficult to predict when a
projection handler is under increased load until it's too late and
causes downstream issues. Importantly, projection updating is in the
critical path for many login flows and increased latency there can
result in system downtime for users.

# How the Problems Are Solved

This PR adds three new prometheus-style metrics: 
1. **projection_events_processed** (_labels: projection, success_) -
This metric gives us a counter of the number of events processed per
projection update run and whether they we're processed without error. A
high number of events being processed can let us know how busy a
particular projection handler is.

2. **projection_handle_timer** _(labels: projection)_ - This is the time
it takes to process a projection update given a batch of events - time
to take the current_states lock, query for new events, reduce,
update_the projection, and update current_states.

3. **projection_state_latency** _(labels: projection)_ - This is the
time from the last event processed in the current_states table for a
given projection. It tells us how old was the last event you processed?
Or, how far behind are you running for this projection? Higher latencies
could mean high load or stalled projection handling.

# Additional Changes

I also had to initialize the global otel metrics provider (`metrics.M`)
in the `setup` step additionally to `start` since projection handlers
are initialized at setup. The initialization checks if a metrics
provider is already set (in case of `start-from-setup` or
`start-from-init` to prevent overwriting, which causes the otel metrics
provider to stop working.

# Additional Context

## Example Dashboards


![image](https://github.com/user-attachments/assets/94ba5c2b-9c62-44cd-83ee-4db4a8859073)

![image](https://github.com/user-attachments/assets/60a1b406-a8c6-48dc-a925-575359f97e1e)

---------

Co-authored-by: Silvan <[email protected]>
Co-authored-by: Livio Spring <[email protected]>
2025-03-27 07:40:27 +01:00
e4bbfcccc8 fix: add aggregate type to subquery to utilize indexes (#9226)
# Which Problems Are Solved

The subquery of the notification requested and retry requested is
missing the aggregate_type filter that would allow it to utilize the
`es_projection` or `active_instances_events` on the eventstore.events2
table.

# How the Problems Are Solved

Add additional filter on subquery. Final query: 
```sql
SELECT <all the fields omitted> FROM eventstore.events2
WHERE
    instance_id = $1
    AND aggregate_type = $2
    AND event_type = $3
    AND created_at > $4
    AND aggregate_id NOT IN (
        SELECT aggregate_id
        FROM eventstore.events2
        WHERE
            aggregate_type = $5 <-- NB: previously missing
            AND event_type = ANY ($6)
            AND instance_id = $7
            AND created_at > $8
    )
ORDER BY "position", in_tx_order
LIMIT $9
FOR UPDATE SKIP LOCKED
```

# Additional Changes

# Additional Context

Co-authored-by: Livio Spring <[email protected]>
2025-01-22 16:02:37 +00:00
7ba797b872 fix: use correct check for user existing on import (#8907)
# Which Problems Are Solved

- ImportHuman was not checking for a `UserStateDeleted` state on import,
resulting in "already existing" errors when attempting to delete and
re-import a user with the same id

# How the Problems Are Solved

Use the `Exists` helper method to check for both `UserStateUnspecified`
and `UserStateDeleted` states on import

# Additional Changes

N/A

# Additional Context

N/A

Co-authored-by: Livio Spring <[email protected]>
2024-11-15 07:46:33 +01:00