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.
Anis Elleuch
Klaus Post
Harshavardhana
Aditya Manthramurthy
Poorna
Krishnan Parthasarathi
Nitish Tiwari
Ritesh H Shukla