Previously we are using tracing.sampled to be the switch for turning on/off tracing.
However we would like to separate sampling rate from being the switch,
so we can set sampling rate to be 0 but still intialize tracing for
satellite and storagenodes
Change-Id: I27e6ba25ea6f6b612b4e1a57cf1301889ded41ec
When we receive a piece deletion request, include the number of piece
IDs we couldn't add to the queue in the reponse
Change-Id: Ibebbe92ac50105bb5c74b18211ed38d468eb33f3
Automatically attach attribution information to bucket during
BeginObject or CreateBucket when the UserAgent is set.
Change-Id: I405cb26c5a2f7394b30e3f2cf5d2214c8781eb8b
we do not use that driver, and removing the case from the
type assertion reduces the satellite binary size by 5%.
Change-Id: I1c1b5e1e57dc4a98415103cfddd4f8c091588573
size with BeginObject
Such solution will add one round trip to satellite during upload so for
now we are reverting this until we will have solution for this.
Change-Id: Ic2d826448ab7b0318cd6922df05deee9167cf2f0
BeginObject response
We want to control inline segment size and segment size on satellite
side. We need to return such information to uplink like with redundancy
scheme.
Change-Id: If04b0a45a2757a01c0cc046432c115f475e9323c
uuid.UUID implements driver.Value so it can be directly used as a
scannable result.
Replace uses of dbutil.BytesToUUID with uuid.FromBytes.
Change-Id: I51a670185ceb3cc2199d5aa2b76bc3fc191ca8fe
This will help to determine how many grpc calls are made to the
satellite.
Also remove the grpc funcs that have been added to upstream.
Change-Id: I91878f4fd10f9bfe601c94222c102eaaf4d35963
* debug
* traces
* cfgstruct
* process
Package `storj/private/version` will be removed as a separate change.
Change-Id: Iadc40faa782e6225513b28218952f02d9c240a9f
Switch back to the original DeleteBucket and DeleteObject methods.
Next step: remove the DeleteBucketReturnDeleted and
DeleteObjectReturnDeleted from storj.io/uplink.
Change-Id: I273a305326d411e51ce354ce72fcc6ecadf4dd5f
step 1 in https://review.dev.storj.io/c/storj/uplink/+/1236
Now the old libuplink uses the temporary DeleteBucketReturnDeleted and
DeleteObjectReturnDeleted methods. This way, in the next step, we will
be able to change the DeleteBucket and DeleteObject methods to return
the deleted bucket/object.
Change-Id: I2e638be1960bca6ce1456c92849fcdd6d93e5252
The admission/v3 protocol now supports arbitrary key/value headers to be
included in each packet of metrics. This commit creates support for
this, so the lua config file can declare a filter taking into account
the key/value headers.
Change-Id: I41de8c018d33304ccf46ec221ae689d55c5fb1ee
common/pb moved grpc to a separate package common/pb/pbgrpc.
This updates this repository to use it.
Change-Id: I2de2a190688871cf9cb61f7ea511f8a01e264e4e
Now that we are trying to identify the root cause of the satellite load limitations (i.e. currently the satellite has a max ability of 400 rps for uploads and we need this to be higher), we are using the golang diagnostic tools to collect insight into what the bottlenecks are. We currently have a debug endpoint to gather some cpu and mem data, but it could be useful to have continuous profiling. GCP stackdriver has support for continuous profiling so lets set that up and see if it is helpful to gather more data.
This PR adds support for [GCP continuous profiler](https://cloud.google.com/profiler) which allows enabling continuous cpu/mem profiling and the stats are sent to stackdriver in google cloud console.
To enable the continuous profiling for a storj component, do the following:
- prereq: the workload must be running in GKE and have Stackdriver Profiling IAM role permissions
- provide the config flag `debug.profilename` in the config.yaml file for the workload (i.e. satellite api process, etc). The profilename should be the workload name, for example "satellite-api".
- once the above config flag is provided, the profiler will be initialized and profiling stats will automatically be sent to GCP project where the workload is running and viewable in the Stackdriver Profile page in the console
The current implementation assumes the workload is running in GKE, however if we find if useful we can add support to enable this from anywhere. But for simplicity, its configured this way assuming the main goal is to enable in production systems.
Change-Id: Ibf8ebe2df7bf06fdd4951ee6a1e48854dd36ad47
