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
1 month
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, 2 weeks
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1 month, 3 weeks
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by Dana Daster
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1 month, 4 weeks
major change in the way we will have to monitor domain mode
by John Mazzitelli
I'm looking at how domain mode monitoring is going to work now that we are moving toward the Prometheus / jmx-exporter way of doing things.
Turns out, due to the way WildFly domain mode exposes things via JMX (rather, I should say, *doesn't* expose things) compared to DMR, I think we are going to have to require the hawkular agent to be deployed to all slave servers, in addition to the master host controller.
In domain mode, you can access all the child slave servers (the individual servers in all server groups) via the host controller's DMR tree - so we only needed one agent on the host controller to monitor the domain. For example, to see a metric for a deployment on "server-one" that is managed by host controller "master", I can simply ask the host controller for it:
/host=master/server=server-one/deployment=test-simple-1.0.0.war/subsystem=undertow/:read-attribute(name=active-sessions)
{
"outcome" => "success",
"result" => 0
}
The nice thing about WildFly's management DMR interface is that the domain mode tree is identical to the standalone tree with the exception that on the host controller, you simply prepend the host/server identifiers to the DMR path. So, for a standalone WildFly, a DMR path for the active-sessions metric for my test-simple application would be:
/deployment=test-simple-1.0.0.war/subsystem=undertow/:read-attribute(name=active-sessions)
If I want to ask the host controller to give me the exact same metric from that server, I simply prepend the host/server name in the DMR path:
/host=master/server=server-one/deployment=test-simple-1.0.0.war/subsystem=undertow/:read-attribute(name=active-sessions)
The agent has knowledge of this pattern; knowing this pattern we can cleverly configure the metadata so we can share types across domain and standalone for inventory discovery.
The problem: WildFly does not expose its JMX MBeans in an equally clever way. I do not see MBeans that provide metrics for the slave servers.
For example, in JMX, I see WildFly host controller has this MBean:
jboss.as:host=master,server=server-one
Looks very analogous to the DMR resource named /host=master/server=server-one resource ... right??
Well, there are no deployments associated with this MBean. You would think (following the DMR pattern) that there would be an MBean named:
jboss.as:host=master,server=server-one,deployment=test-simple-1.0.0.war
But there is not. Nor is there:
jboss.as:host=master,server=server-one,deployment=test-simple-1.0.0.war,subsystem=undertow
which is where you would expect that server's web subsystem metrics to be (if it were to follow the same DMR pattern). But, again, this doesn't exist.
I can't find JMX MBeans for anything related to the individual slave servers (not just deployments).
In short, I do not believe the Prometheus JMX Exporter can be used to collect metrics for all slave servers in a domain if that JMX Exporter is simply installed on a host controller. This is because the host controller's JMX MBeans do not expose metric data for individual slave servers.
We would have to have our agent in each slave server (which are just standalone servers - so the agent would be as if it is monitoring a standalone server). We could have an agent in the host controller, too, but it would only be responsible for monitoring/managing the host controller itself.
[this message was sent on Tuesday, November 21, 2017 at 10:11 PM EST]
3 months, 1 week
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
4 months, 1 week
Nursing Research Proposal
by Nursing Writer
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4 months, 2 weeks
