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.
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.
data-structures were repeatedly initialized
this causes GC pressure, instead re-use the
collectors.
Initialize collectors in `init()`, also make
sure to honor the cache semantics for performance
requirements.
Avoid a global map and a global lock for metrics
lookup instead let them all be lock-free unless
the cache is being invalidated.
Add a new Prometheus metric for bucket replication latency
e.g.:
minio_bucket_replication_latency_ns{
bucket="testbucket",
operation="upload",
range="LESS_THAN_1_MiB",
server="127.0.0.1:9001",
targetArn="arn:minio:replication::45da043c-14f5-4da4-9316-aba5f77bf730:testbucket"} 2.2015663e+07
Co-authored-by: Klaus Post <klauspost@gmail.com>
- remove some duplicated code
- reported a bug, separately fixed in #13664
- using strings.ReplaceAll() when needed
- using filepath.ToSlash() use when needed
- remove all non-Go style comments from the codebase
Co-authored-by: Aditya Manthramurthy <donatello@users.noreply.github.com>
This feature also changes the default port where
the browser is running, now the port has moved
to 9001 and it can be configured with
```
--console-address ":9001"
```
This is to ensure that there are no projects
that try to import `minio/minio/pkg` into
their own repo. Any such common packages should
go to `https://github.com/minio/pkg`
Real-time metrics calculated in-memory rely on the initial
replication metrics saved with data usage. However, this can
lag behind the actual state of the cluster at the time of server
restart leading to inaccurate Pending size/counts reported to
Prometheus. Dropping the Pending metrics as this can be more
reliably monitored by applications with replication notifications.
Signed-off-by: Poorna Krishnamoorthy <poorna@minio.io>
- collect real time replication metrics for prometheus.
- add pending_count, failed_count metric for total pending/failed replication operations.
- add API to get replication metrics
- add MRF worker to handle spill-over replication operations
- multiple issues found with replication
- fixes an issue when client sends a bucket
name with `/` at the end from SetRemoteTarget
API call make sure to trim the bucket name to
avoid any extra `/`.
- hold write locks in GetObjectNInfo during replication
to ensure that object version stack is not overwritten
while reading the content.
- add additional protection during WriteMetadata() to
ensure that we always write a valid FileInfo{} and avoid
ever writing empty FileInfo{} to the lowest layers.
Co-authored-by: Poorna Krishnamoorthy <poorna@minio.io>
Co-authored-by: Harshavardhana <harsha@minio.io>
The local node name is heavily used in tracing, create a new global
variable to store it. Multiple goroutines can access it since it won't be
changed later.
prometheus metrics was using total disks instead
of online disk count, when disks were down, this
PR fixes this and also adds a new metric for
total_disk_count
also re-use storage disks for all `mc admin server info`
calls as well, implement a new LocalStorageInfo() API
call at ObjectLayer to lookup local disks storageInfo
also fixes bugs where there were double calls to StorageInfo()
We can use this metric to check if there are too many S3 clients in the
queue and could explain why some of those S3 clients are timing out.
```
minio_s3_requests_waiting_total{server="127.0.0.1:9000"} 9981
```
If max_requests is 10000 then there is a strong possibility that clients
are timing out because of the queue deadline.
