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
Previous split to a storj.io/private repository broke tag-release.sh
script. This is the minimal temporary fix to make things work.
This links the build information to specified variables and sets them
inline. This approach, of course, is very fragile.
Change-Id: I73db2305e6c304146e5a14b13f1d917881a7455c
* add script for easy rolling upgrade test local execution
* remove unneeded binaries building for rolling upgrade and versions
tests
* unify build process for Jenkins and local execution for rolling
upgrade and versions tests
Change-Id: Ic11211b83f3f447494bbd5827d2af77ea4b20dfe
Add flag to satellite repairer, "InMemoryRepair" that allows the
satellite to decide whether to download the entire segment being
repaired into memory (this is what the satellite already does), or to
download it into temporary files on disk that will be read from in the
upload phase of repair.
This should help with handling high repair traffic on satellites that
cannot afford to spend 64mb of memory per repair worker.
Updates tests to test repair for both in memory and to disk.
Change-Id: Iddf591e165621497c98533d45bfea3c28b08a194
this is going to make all the tests slower but it is what it is
test-sim-aws.sh is removed because it was moved to storj/gateway repo.
Change-Id: I10727e747a4c3740b1c9054ce7d17313b4fa310b
1. only run release tags that don't contain 'rc'
2. install gateway version that's the same as satellite
3. update gateway access to contain satellite id
Change-Id: I8ca1418302c3aafdf0c4eaaf8361422a1eec2bd4
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
This new repair timeout (configured as TotalTimeout) will include both
the time to download pieces and the time to upload pieces, as well as
the time to pop the segment from the repair queue.
This is a move from Github PR #3645.
Change-Id: I47d618f57285845d8473fcd285f7d9be9b4318c8
This change adds two new tables to process orders as fast as we used
to but in an asynchronous manner and with hopefully less storage
usage. This should help scale on cockroach, but limits us to one
worker. It lays the groundwork for the order processing pipeline to
be queue rather than database driven.
For more details, see the added fast billing changes blueprint.
It also fixes the orders db so that all the timestamps that are
passed to columns that do not contain a time zone are converted to
UTC at the last possible opportunity, making it less likely to use
the APIs incorrectly. We really should migrate to include timezones
on all of our timestamp columns.
Change-Id: Ibfda8e7a3d5972b7798fb61b31ff56419c64ea35
rationale: if GC kills the satellite, it would be nice to make
it through a repair checker sweep first
Change-Id: Id56171dc8e13940cfb6481e36a910bad077a01ed
rate
Graceful exit is very slow at the moment. Over the last couple days we
increase the batch size on Stefans satellite to 1000 but as a side
effect the error rate was increased. With a batch size of 500 the error
rate looks stable.
This PR will increase the default to batch size to 300. Graceful exit
will still be painful slow but at least it will be a bit faster. At the
same time this PR also increases the number of errors we tolerate. We
don't want to DQ slow storage nodes just because they didn't finish all
300 transfers in time. We want to give them more retries.
Change-Id: I92e3f99e116d4988457d8b902a88e85ed1bcc1a7
Currently SNs report their free disk space once per hour. If a node
becomes full, it has to wait until the next contact cycle begins to
report; all the while receiving and failing upload requests. By increasing
the minimum required disk space, we can give the storage nodes more time
to report their space before the completely fill up. This change goes
hand-in-hand with another change we want to implement: trigger capacity
report on SN immediately upon falling below threshold.
Change-Id: I12f778286c6c3f582438b0e2949765ac43325e27
satellite api during rolling upgrade test
The old api is using the same config file as the new satellite in the
rolling upgrade test, so we need to set it to something different so
that there is no conflict when we spin up a new storj-sim instance while
the old api is running concurrently.
Change-Id: Ia4ec2db4953f36f43275495710992831ad3916a2
Control Panel allows to control different chores and services.
Currently this adds controlling of cycles.
Change-Id: I734f1676b2a0d883b8f5ba937e93c45ac1a9ce21
