Corrections and suggestions on Explorer for android client
by Anuj Garg
Hello everyone,
A tree structure of the explorer is approx ready for the android client and
I was curious if i am wrong somewhere.
First of all, All feeds are collected by call to
/inventory/feeds
feed call for resources
/inventory/feeds/{feed}/resources
call for rec resources and metrics
/inventory/feeds/{feed}/resources/{resid}/recursiveChildren
/inventory/{feed}/resources/{resid}/metrics
Am I missing something?
Thanks
Anuj Garg
5 days, 4 hours
Inventory API question
by Austin Kuo
I was creating 2 different resource types with the same http client at the
same time.
But one succeed, the other failed with the response 400 and body:
{
"errorMsg" : "The transaction has already been closed"
}
Is it not allowed to do so?
Austin.
2 weeks, 4 days
need a briefing on what the hawkular agent is now doing with respect to inventory
by John Mazzitelli
Joel,
Now that the new inventory-into-metrics is in master and released, I need to know what you did :-D I suspect others will want to know what you did too.
Is it possible for you to write something up or have a 15-minute Blue Jeans session to discuss how inventory is stored in H-Metrics?
I am going to need to know this because I have to implement it in GoLang for HOSA, unless you want to do it :)
--John Mazz
2 weeks, 6 days
BTM agent relationship with Hawkular agent
by Gary Brown
Hi
On the team call just now, Heiko raised a question about whether the BTM agent could work with the Hawkular agent. So thought I would start this discussion thread to see what the potential options are.
I currently see two issues:
1) The BTM agent must be configured on the jvm command line as a "-javaagent" to install ByteMan for instrumentation purposes. This is instantiated before the JBoss modules (and therefore subsystems etc) are initialised.
2) The hawkular agent won't necessarily be installed in all monitored servers, and instead remotely monitor some. The BTM agent would need to be installed in all servers where business transactions are executing.
One type of integration that may be possible is in terms of delivering the captured business transaction information to the backend? i.e. the BTM agent locally reports it to the Hawkular agent as a relay?
Thoughts?
Regards
Gary
2 weeks, 6 days
playing with HOSA outside OS
by John Mazzitelli
I had a couple peeps ask me if they can run HOSA without needing to run it inside an OpenShift cluster (presumably to collect metrics from Prometheus and Jolokia-JMX endpoints that are also running outside of OpenShift). The answer is "yes" and if you are interested, here is a quick how-to.
First get a config.yaml used to configure HOSA (that's the wget command below - it just grabs the example config from github) and then run "docker run" to launch HOSA:
$ wget -O /tmp/config.yaml https://raw.githubusercontent.com/hawkular/hawkular-openshift-agent/maste...
$ docker run --net=host -v /tmp/config.yaml:/config.yaml hawkular/hawkular-openshift-agent --config=/config.yaml
This assumes you have Hawkular-Metrics server (or a full Hawkular-Services server) running on 127.0.0.1 listening to port 8080. If not, just edit config.yaml to point to your server. You can edit that config.yaml however you want.
By default, HOSA itself is a Prometheus endpoint and will collect its own metrics and store them (see config.yaml for its endpoints definitions). So by running HOSA you will automatically start getting "prometheus" data stored into your H-Metrics. You can add more endpoint definitions to the config to tell HOSA to collect from your own Prometheus and Jolokia-JMX endpoints.
You don't have to use docker - if you build the go executable locally (git clone the HOSA repo and "make build") you can run the executable directly. But it's easier to just docker run - no need to git clone, no need to install Go, no need to build anything.
1 month
Hawkular Metrics 0.13.0 - Release
by Stefan Negrea
Hello Everybody,
I am happy to announce release 0.13.0 of Hawkular Metrics. This release is anchored by Hawkular integration enhancements, under-the-cover refactorings and fixes, and a new bulk data generation tool.
Here is a list of major changes in this release:
1) Data Generation Tool
* A new tool that generates bulk metrics data to be used in performance and load testing.
* It generates directly Cassandra data files (SSTables), which leads to a very fast generation process for large amounts of metrics data.
* For more details: https://github.com/hawkular/hawkular-metrics/tree/master/data-generator (HWKMETRICS-355)
2) Receive Metrics via Hawkular Bus
* When deployed within Hawkular distribution, the project now accepts metrics via the Hawkular Bus; until now only the REST API had support for Metrics insertion.
* Hawkular Metrics currently support publishing of newly inserted metrics to the bus and receiving metrics via the bus.
* For more details: HWKMETRICS-347, HWKMETRICS-352
3) Sorted Stacked Metrics Results
* When requesting stacked metrics aggregation the results are now ordered (HWKMETRICS-353)
4) External Integrations
* Heapster sink now divides storing to multiple calls. This is an improvement over the initial implementation that had one REST API call per metric (HWKMETRICS-290)
* ptrans now works with a Hawkular Metrics instance protected by Hawkular Accounts via Hawkular distribution (HWKMETRICS-342)
* Grafana integration via Influxdb compatible end-point allows connections to a Hawkular Metrics instance protected by Hawkular Accounts via Hawkular distribution (HWKMETRICS-343)
Github Release:
https://github.com/hawkular/hawkular-metrics/releases/tag/0.13.0
JBoss Nexus Maven artifacts:
http://origin-repository.jboss.org/nexus/content/repositories/public/org/...
Jira release tracker:
https://issues.jboss.org/browse/HWKMETRICS/fixforversion/12329530
Hawkular Metrics Clients
* Ruby: https://github.com/hawkular/hawkular-client-ruby
* Python: https://github.com/hawkular/hawkular-client-python
* Go: https://github.com/hawkular/hawkular-client-go
A big "Thank you" goes to John Sanda, Thomas Segismont, Mike Thompson, Matt Wringe, Michael Burman, and Heiko Rupp for their project contributions.
Thank you,
Stefan Negrea
Software Engineer
3 months, 3 weeks
