This PR adds new bucket replication graphs for better and granular
monitoring of bucket replication. Also arranged all replication graphs
together.
Signed-off-by: Shubhendu Ram Tripathi <shubhendu@minio.io>
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
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>
Harshavardhana
Ravind Kumar
Shubhendu
Poorna
Doom And Love
Krishnan Parthasarathi
Anis Eleuch
Jiffs Maverick
Daryl White
ebozduman
MohammadReza
Minio Trusted
Eco
chrisbecke
Mani
Ashish Kumar Sinha
jandres - moscardo
Nitish Tiwari