In distributed setup with a load balancer, randmoly any server
would report the metrics `minio_cluster_bucket_total` and
`minio_cluster_usage_object_total` and while graphing it, we should
take max of reported values.
Signed-off-by: Shubhendu Ram Tripathi <shubhendu@minio.io>
As all replication metrics are moved at bucket level, all replication
graphs as well are added under minio-bucket.json. Removing the independent
replication dashboard.
Signed-off-by: Shubhendu Ram Tripathi <shubhendu@minio.io>
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
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.
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>
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
Readiness as no reasoning to be cluster scope
because that is not how the k8s networking works
for pods, all the pods to a deployment are not
sharing the network in a singleton. Instead they
are run as local scopes to themselves, with
readiness failures the pod is potentially taken
out of the network to be resolvable - this
affects the distributed setup in myriad of
different ways.
Instead readiness should behave like liveness
with local scope alone, and should be a dummy
implementation.
This PR all the startup times and overal k8s
startup time dramatically improves.
Added another handler called as `/minio/health/cluster`
to understand the cluster scope health.
Bonus change to use channel to serialize triggers,
instead of using atomic variables. More efficient
mechanism for synchronization.
Co-authored-by: Nitish Tiwari <nitish@minio.io>
Bonus fixes in quota enforcement to use the
new datastructure and use timedValue to cache
a value/reload automatically avoids one less
global variable.
We added support for caching and S3 related metrics in #8591. As
a continuation, it would be helpful to add support for Azure & GCS
gateway related metrics as well.
This PR adds support below metrics
- Cache Hit Count
- Cache Miss Count
- Data served from Cache (in Bytes)
- Bytes received from AWS S3
- Bytes sent to AWS S3
- Number of requests sent to AWS S3
Fixes#8549
The measures are consolidated to the following metrics
- `disk_storage_used` : Disk space used by the disk.
- `disk_storage_available`: Available disk space left on the disk.
- `disk_storage_total`: Total disk space on the disk.
- `disks_offline`: Total number of offline disks in current MinIO instance.
- `disks_total`: Total number of disks in current MinIO instance.
- `s3_requests_total`: Total number of s3 requests in current MinIO instance.
- `s3_errors_total`: Total number of errors in s3 requests in current MinIO instance.
- `s3_requests_current`: Total number of active s3 requests in current MinIO instance.
- `internode_rx_bytes_total`: Total number of internode bytes received by current MinIO server instance.
- `internode_tx_bytes_total`: Total number of bytes sent to the other nodes by current MinIO server instance.
- `s3_rx_bytes_total`: Total number of s3 bytes received by current MinIO server instance.
- `s3_tx_bytes_total`: Total number of s3 bytes sent by current MinIO server instance.
- `minio_version_info`: Current MinIO version with commit-id.
- `s3_ttfb_seconds_bucket`: Histogram that holds the latency information of the requests.
And this PR also modifies the current StorageInfo queries
- Decouples StorageInfo from ServerInfo .
- StorageInfo is enhanced to give endpoint information.
NOTE: ADMIN API VERSION IS BUMPED UP IN THIS PR
Fixes#7873
Minio server supports healthcheck and prometheus related
unauthenticated endpoints. This document summarizes this
information in a single place and add links for more detailed
documentation if needed.