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.
fix: change timedvalue to return previous cached value
caller can interpret the underlying error and decide
accordingly, places where we do not interpret the
errors upon timedValue.Get() - we should simply use
the previously cached value instead of returning "empty".
Bonus: remove some unused code
PR #15052 caused a regression, add the missing metrics back.
Bonus:
- internode information should be only for distributed setups
- update the dashboard to include 4xx and 5xx error panels.
Currently minio_s3_requests_errors_total covers 4xx and
5xx S3 responses which can be confusing when s3 applications
sent a lot of HEAD requests with obvious 404 responses or
when the replication is enabled.
Add
- minio_s3_requests_4xx_errors_total
- minio_s3_requests_5xx_errors_total
to help users monitor 4xx and 5xx HTTP status codes separately.
peerOnlineCounter was making NxN calls to many peers, this
can be really long and tedious if there are random servers
that are going down.
Instead we should calculate online peers from the point of
view of "self" and return those online and offline appropriately
by performing a healthcheck.
Main motivation is move towards a common backend format
for all different types of modes in MinIO, allowing for
a simpler code and predictable behavior across all features.
This PR also brings features such as versioning, replication,
transitioning to single drive setups.
current implementation relied on recursively calling one bucket
at a time across all peers, this would be very slow and chatty
when there are 100's of buckets which would mean 100*peerCount
amount of network operations.
This PR attempts to reduce this entire call into `peerCount`
amount of network calls only. This functionality addresses also a
concern where the Prometheus metrics would significantly slow
down when one of the peers is offline.
Data usage does not always contain tiering info even if the data usage
information is valid. Avoid a crash in that case.
(e.g. the scanner scanned the namespace, the user enables tiering,
prometheus scrapes the server before the scanner gets a chance to
update the data usage with new tiering information)
Some users running MinIO claim that their system became slow. One
way to investigate is to look at this Prometheus history of the number of
the requests reaching the server. The existing current S3 requests metric
is not enough because it can increase of the system really becomes slow,
due to disk issues for example.
Publish storage functions latency to help compare the performance
of different disks in a single deployment.
e.g.:
```
minio_node_disk_latency_us{api="storage.WalkDir",disk="/tmp/xl/1",server="localhost:9001"} 226
minio_node_disk_latency_us{api="storage.WalkDir",disk="/tmp/xl/2",server="localhost:9002"} 1180
minio_node_disk_latency_us{api="storage.WalkDir",disk="/tmp/xl/3",server="localhost:9003"} 1183
minio_node_disk_latency_us{api="storage.WalkDir",disk="/tmp/xl/4",server="localhost:9004"} 1625
```
map labels might have been referenced else, this
can lead to concurrent access at lower layers.
avoid this by copying the information while
concurrently serving the metrics.
