Measure all the things

Transcript

6. with statsd.timer('foo'): for i in xrange(0, 100000): i ** 2 statsd.gauge('foo', 70) # Set the 'foo' gauge to 70. statsd.gauge('foo', 1, delta=True) # Set 'foo' to 71. statsd.gauge('foo', -3, delta=True) # Set 'foo' to 68. statsd.incr('some.event') statsd.incr('some.other.event', 10) statsd.incr('some.third.event', rate=0.1) statsd.set('users', userid)
7. from functools import wraps from statsd import StatsClient from time import sleep statsd = StatsClient('127.0.0.1', 8125) class Metric(object): def __init__(self, metric): self.metric = metric def __call__(self, f): @wraps(f) def decorated(*args, **kwargs): with statsd.timer(self.metric): return f(*args, **kwargs) return decorated @Metric('test') def test(): sleep(5)
8. from flask import Flask from time import sleep app = Flask(__name__) @app.route('/login/<username>') @Metric('view.login') def login(username): if not username: statsd.incr('login.failed') return 'Login failed sleep(1) statsd.incr('login.success') return 'Login success' if __name__ == '__main__': app.run()
9. from django.core.urlresolvers import resolve from statsd.defaults.env import statsd class Statsd(object): def process_request(self, request): self.current_view = resolve(request.path).url_name statsd.incr('view.stats.{0}'.format(self.current_view)) self.timer = statsd.timer('view.{0}'.format(self.current_view)) self.timer.start() def process_response(self, request, response): self.timer.stop() return response def process_exception(self, request, exception): statsd.incr('view.exceptions.{0}'.format(self.current_view))
10. [server] …. [[StatsdHandler]] host = statsd.example.com port = 8125 [collectors] [[default]] [[CPUCollector]] enabled = True [[DiskSpaceCollector]] enabled = True [[DiskUsageCollector]] enabled = True [[LoadAverageCollector]] enabled = True …
14. $ curl -X POST \ -d '[{"name":"foo","columns":["val"],"points":[[23]]}]' \ 'http://localhost:8086/db/demo/series?u=root&p=root' $ curl -G 'http://localhost:8086/db/demo/series?u=root&p=root' \ --data-urlencode "q=select * from foo limit 1" #Result [{ "name": "foo", "columns": [ "time", "sequence_number", "val" ], "points": [ [ 1428909579501, 25996840001, 23 ] ] }]
15. select value from "view.choicelist.timer.mean" where time > now() - 1h limit 1000; select mean(value) from "view.choicelist.timer.mean" where time > now() - 2h group by time(10m); select max(value) from "view.choicelist.timer.mean" where time > now() - 2h group by time(10m);