This patch adds the targetID to the existing notification target metrics
and deprecates the current target metrics which points to the overall
event notification subsystem
The metrics `minio_bucket_replication_received_bytes` and
`minio_bucket_replication_sent_bytes` are additive in nature
and rendering the value as is looks fine.
Also added sort order for few graphs for better reading of tool
tips as keeping ones with highest value at top helps.
Signed-off-by: Shubhendu Ram Tripathi <shubhendu@minio.io>
By default the cpu load is the cumulative of all cores. Capture the
percentage load (load * 100 / cpu-count)
Also capture the percentage memory used (used * 100 / total)
it is okay if the warm-tier cannot keep up, we should continue
to take I/O at hot-tier, only fail hot-tier or block it when
we are disk full.
Bonus: add metrics counter for these missed tasks, we will
know for sure if one of the node is lagging behind or is
losing too many tasks during transitioning.
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.
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>
- 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.
