This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
[ | |
{"timestamp": 1468533600000, "value": 0}, | |
{"timestamp": 1468535400000, "value": 0.72}, | |
{"timestamp": 1468537200000, "value": 0.126}, | |
{"timestamp": 1468539000000, "value": 0}, | |
{"timestamp": 1468540800000, "value": 0.120}, | |
{"timestamp": 1468542600000, "value": 0.132}, | |
{"timestamp": 1468544400000, "value": 0}, | |
{"timestamp": 1468546200000, "value": 0.096}, | |
{"timestamp": 1468548000000, "value": 0.102}, |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"triggers": [ | |
{ | |
"trigger": { | |
"id": "cpu-load trigger", | |
"name": "Trigger for excessive cpu-load", | |
"severity": "HIGH", | |
"enabled": true, | |
"actions": [ | |
{ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
[ | |
{"timestamp": 1468620000000, "value": 0}, | |
{"timestamp": 1468621800000, "value": 0.072}, | |
{"timestamp": 1468623600000, "value": 0.04}, | |
{"timestamp": 1468625400000, "value": 0}, | |
{"timestamp": 1468627200000, "value": 0.2}, | |
{"timestamp": 1468629000000, "value": 0.106}, | |
{"timestamp": 1468630800000, "value": 0.04}, | |
{"timestamp": 1468632600000, "value": 0.034}, | |
{"timestamp": 1468634400000, "value": 0.06}, |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
PipeManager.config("alerts", RestfulPipeConfiguration.class) | |
.withUrl(new URL("http://livingontheedge.hawkular.org/")) | |
.forClass(Developer.class); | |
LoaderPipe<Developer> pipe = PipeManager.get("alerts", activityInstance); | |
pipe.reset(); | |
pipe.read(new ReadDevelopersActivityCallback()); | |
public static class ReadDevelopersActivityCallback | |
extends AbstractActivityCallback<List<Developer>> { |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
11:59:33, 281 INFO [org.hawkular.alerts.action.api] (Thread-251 (ActiveMQ-client- | |
global-threads-1118700939)) HAWKALERT240001: Plugin [email] has received an | |
action message: [BusActionMessage[action=Action[eventId='cpu-load-trigger- | |
1472551176767-dc41aaf3-bdd7-4a89-a950-44dc92f10c8b', | |
ctime=1472551176768, event=Alert [alertId=temperature-trigger-1472551176767-dc41aaf3-bdd7-4a89-a950-44dc92f10c8b, status=OPEN, ackTime=0, ackBy=null, resolvedTime=0, resolvedBy=null, context={}], result='null']]] |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Will start with injecting the metrics data into the Hawkular server (adding of new metrics could be another good idea here which could increase the user-friendliness of the project with users). This can be done easily with the use of Curl command with the metrics REST api provided by the project. For instance I can use cpu load metrics data of an operating system(to send to the server). I could use the stats for smaller intervals of time and store it in a json file(cpu_load.json) | |
Will send the data to the hawkular server using the post | |
Curl command. | |
Now I will check the data by setting up Grafana and its Hawkular plugin to actually build a dashboard and look at the cpu_json(cpu load metrics) for that period of time. It would look something like the one shown below. | |
Will be adding alerting to be notified for particular conditions(here it will notify when the CPU load exceeds the provided alerting condition) which will trigger the alert/event when the conditions are met. Wil |