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
to avoid relying on scanner-calculated replication metrics.
This will improve the accuracy of the replication stats reported.
This PR also adds on to #15556 by handing replication
traffic that could not be queued by available workers to the
MRF queue so that entries in `PENDING` status are healed faster.
fixes#15334
- re-use net/url parsed value for http.Request{}
- remove gosimple, structcheck and unusued due to https://github.com/golangci/golangci-lint/issues/2649
- unwrapErrs upto leafErr to ensure that we store exactly the correct errors
This commit adds a minimal set of KMS-related metrics:
```
# HELP minio_cluster_kms_online Reports whether the KMS is online (1) or offline (0)
# TYPE minio_cluster_kms_online gauge
minio_cluster_kms_online{server="127.0.0.1:9000"} 1
# HELP minio_cluster_kms_request_error Number of KMS requests that failed with a well-defined error
# TYPE minio_cluster_kms_request_error counter
minio_cluster_kms_request_error{server="127.0.0.1:9000"} 16790
# HELP minio_cluster_kms_request_success Number of KMS requests that succeeded
# TYPE minio_cluster_kms_request_success counter
minio_cluster_kms_request_success{server="127.0.0.1:9000"} 348031
```
Currently, we report whether the KMS is available and how many requests
succeeded/failed. However, KES exposes much more metrics that can be
exposed if necessary. See: https://pkg.go.dev/github.com/minio/kes#Metric
Signed-off-by: Andreas Auernhammer <hi@aead.dev>
GetDiskInfo() uses timedValue to cache the disk info for one second.
timedValue behavior was recently changed to return an old cached value
when calculating a new value returns an error.
When a mount point is empty, GetDiskInfo() will return errUnformattedDisk,
timedValue will return cached disk info with unexpected IsRootDisk value,
e.g. false if the mount point belongs to a root disk. Therefore, the mount
point will be considered a valid disk and will be formatted as well.
This commit will also add more defensive code when marking root disks:
always mark a disk offline for any GetDiskInfo() error except
errUnformattedDisk. The server will try anyway to reconnect to those
disks every 10 seconds.
The current code uses approximation using a ratio. The approximation
can skew if we have multiple pools with different disk capacities.
Replace the algorithm with a simpler one which counts data
disks and ignore parity disks.
Klaus Post