Metrics v3 is mainly a reorganization of metrics into smaller groups of
metrics and the removal of internal aggregation of metrics received from
peer nodes in a MinIO cluster.
This change adds the endpoint `/minio/metrics/v3` as the top-level metrics
endpoint and under this, various sub-endpoints are implemented. These
are currently documented in `docs/metrics/v3.md`
The handler will serve metrics at any path
`/minio/metrics/v3/PATH`, as follows:
when PATH is a sub-endpoint listed above => serves the group of
metrics under that path; or when PATH is a (non-empty) parent
directory of the sub-endpoints listed above => serves metrics
from each child sub-endpoint of PATH. otherwise, returns a no
resource found error
All available metrics are listed in the `docs/metrics/v3.md`. More will
be added subsequently.
The middleware sets up tracing, throttling, gzipped responses and
collecting API stats.
Additionally, this change updates the names of handler functions in
metric labels to be the same as the name derived from Go lang reflection
on the handler name.
The metric api labels are now stored in memory the same as the handler
name - they will be camelcased, e.g. `GetObject` instead of `getobject`.
For compatibility, we lowercase the metric api label values when emitting the metrics.
- Use a shared worker pool for all ILM expiry tasks
- Free version cleanup executes in a separate goroutine
- Add a free version only if removing the remote object fails
- Add ILM expiry metrics to the node namespace
- Move tier journal tasks to expiryState
- Remove unused on-disk journal for tiered objects pending deletion
- Distribute expiry tasks across workers such that the expiry of versions of
the same object serialized
- Ability to resize worker pool without server restart
- Make scaling down of expiryState workers' concurrency safe; Thanks
@klauspost
- Add error logs when expiryState and transition state are not
initialized (yet)
* metrics: Add missed tier journal entry tasks
* Initialize the ILM worker pool after the object layer
With this commit, MinIO generates root credentials automatically
and deterministically if:
- No root credentials have been set.
- A KMS (KES) is configured.
- API access for the root credentials is disabled (lockdown mode).
Before, MinIO defaults to `minioadmin` for both the access and
secret keys. Now, MinIO generates unique root credentials
automatically on startup using the KMS.
Therefore, it uses the KMS HMAC function to generate pseudo-random
values. These values never change as long as the KMS key remains
the same, and the KMS key must continue to exist since all IAM data
is encrypted with it.
Backward compatibility:
This commit should not cause existing deployments to break. It only
changes the root credentials of deployments that have a KMS configured
(KES, not a static key) but have not set any admin credentials. Such
implementations should be rare or not exist at all.
Even if the worst case would be updating root credentials in mc
or other clients used to administer the cluster. Root credentials
are anyway not intended for regular S3 operations.
Signed-off-by: Andreas Auernhammer <github@aead.dev>
* Remove lock for cached operations.
* Rename "Relax" to `ReturnLastGood`.
* Add `CacheError` to allow caching values even on errors.
* Add NoWait that will return current value with async fetching if within 2xTTL.
* Make benchmark somewhat representative.
```
Before: BenchmarkCache-12 16408370 63.12 ns/op 0 B/op
After: BenchmarkCache-12 428282187 2.789 ns/op 0 B/op
```
* Remove `storageRESTClient.scanning`. Nonsensical - RPC clients will not have any idea about scanning.
* Always fetch remote diskinfo metrics and cache them. Seems most calls are requesting metrics.
* Do async fetching of usage caches.
globalLocalDrives seem to be not updated during the
HealFormat() leads to a requirement where the server
needs to be restarted for the healing to continue.
local disk metrics were polluting cluster metrics
Please remove them instead of adding relevant ones.
- batch job metrics were incorrectly kept at bucket
metrics endpoint, move it to cluster metrics.
- add tier metrics to cluster peer metrics from the node.
- fix missing set level cluster health metrics
If site replication is enabled, we should still show the size and
version distribution histogram metrics at bucket level.
Signed-off-by: Shubhendu Ram Tripathi <shubhendu@minio.io>
NOTE: This feature is not retro-active; it will not cater to previous transactions
on existing setups.
To enable this feature, please set ` _MINIO_DRIVE_QUORUM=on` environment
variable as part of systemd service or k8s configmap.
Once this has been enabled, you need to also set `list_quorum`.
```
~ mc admin config set alias/ api list_quorum=auto`
```
A new debugging tool is available to check for any missing counters.
minio_node_tier_ttlb_seconds - Distribution of time to last byte for streaming objects from warm tier
minio_node_tier_requests_success - Number of requests to download object from warm tier that were successful
minio_node_tier_requests_failure - Number of requests to download object from warm tier that failed
This patch adds the targetID to the existing notification target metrics
and deprecates the current target metrics which points to the overall
event notification subsystem
it is okay if the warm-tier cannot keep up, we should continue
to take I/O at hot-tier, only fail hot-tier or block it when
we are disk full.
Bonus: add metrics counter for these missed tasks, we will
know for sure if one of the node is lagging behind or is
losing too many tasks during transitioning.
Add a new endpoint for "resource" metrics `/v2/metrics/resource`
This should return system metrics related to drives, network, CPU and
memory. Except for drives, other metrics should have corresponding "avg"
and "max" values also.
Reuse the real-time feature to capture the required data,
introducing CPU and memory metrics in it.
Collect the data every minute and keep updating the average and max values
accordingly, returning the latest values when the API is called.
to track the replication transfer rate across different nodes,
number of active workers in use and in-queue stats to get
an idea of the current workload.
This PR also adds replication metrics to the site replication
status API. For site replication, prometheus metrics are
no longer at the bucket level - but at the cluster level.
Add prometheus metric to track credential errors since uptime
```
minio[1032735]: panic: label value "\xc0.\xc0." is not valid UTF-8
minio[1032735]: goroutine 1781101 [running]:
minio[1032735]: github.com/prometheus/client_golang/prometheus.MustNewConstMetric(...)
```
log such errors for investigation
users/customers do not have a reasonable number of buckets anymore,
this is why we must avoid overpopulating cluster endpoints, instead
move the bucket monitoring to a separate endpoint.
some of it's a breaking change here for a couple of metrics, but
it is imperative that we do it to improve the responsiveness of
our Prometheus cluster endpoint.
Bonus: Added new cluster metrics for usage, objects and histograms
Aditya Manthramurthy
Krishnan Parthasarathi
Andreas Auernhammer
Klaus Post
Harshavardhana
Poorna
Shubhendu
jiuker
Anis Eleuch
Praveen raj Mani
vicmunoz
Matthew Toohey
Shireesh Anjal
Yang Wu
drivebyer