[Hawkular-dev] Low-impact clients and never dropping any events
Randall Hauch
rhauch at redhat.com
Fri Feb 13 16:39:49 EST 2015
Just posted today: Parse.ly’s time series backend is log-oriented and uses the same technology I discussed earlier. But they have details about data volumes and how they aggregate/window data. Might be useful.
http://blog.parsely.com/post/1633/mage/ <http://blog.parsely.com/post/1633/mage/>
> On Feb 13, 2015, at 12:01 PM, Randall Hauch <rhauch at redhat.com> wrote:
>
> Oh, one more thing:
>
>>> On Feb 13, 2015, at 10:49 AM, Thomas Segismont <tsegismo at redhat.com <mailto:tsegismo at redhat.com>> wrote:
>>> ...
>>> Hawkular metrics comes in two forms:
>>
>>> * a Java library (metrics-core)
>>> * a Java EE web application (built on top of the library)
>>>
>>> metrics-core can be embedded in any sort of JVM application but it
>>> expects to find a Cassandra cluster somewhere.
>
>
> I understand that the collectors will be libraries; you’ll probably eventually want these in multiple languages. But it sure seems strange to have the Hawkular engine (for lack of a better term) be a library. Not only is that more complicated to set up, but if you design it to be embeddable then it will be harder to also make it scale.
>
> It sure seems easier to focus on only installing Hawkular as a separate (potentially distributed) system that is set up and used. Sure, config it to point to the Cassandra cluster. But that can be easily wrapped up in a Docker image that people download and simply start, pointing via ENV variables to a Cassandra instance/cluster (perhaps also started from a Docker image). Better still is that these Docker images can be wrapped in a Kubernetes pod (that uses a Cassandra pod) and deployed on OpenShift. Now you have Hawkular as a service, but still easily installed on a customer’s network.
>
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