In my case, switching to Travis container-based infrastructure [1][2]
helped - see [3] for how to do that.
Hard to say which particular aspect of the container-based Travis worker
has helped - here are some possible candidates:
* more RAM
* more CPUs (2 vs. 1.5)
* faster network -> faster artifact downloads and therefore shorter
total build times -> less probable job timeouts
Another important pro for switching to docker workers is that the job
starts much faster than with the traditional VM worker.
-- P
[1]
Le 27/05/2015 17:02, Heiko W.Rupp a écrit :
>> I am not sure myself, which of the two is my case. Before I spend any
>> time on that, has anybody ever succeeded to start wildfly inside Travis
>> and run some integration test?
>
> We had Hawkular-metrics running on Travis including tests (iirc both
> with memory and Cassandra backend).
Well, the memory backend is long gone. But as a matter of fact, the
Metrics build starts a Wildfly server twice: first in the rest-tests
module, then in the ptrans module.
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