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Visibility for web developers
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Bruno Renié
May 13, 2014
Technology
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450
Visibility for web developers
Bruno Renié
May 13, 2014
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Transcript
Visibility for Web Developers Bruno Renié Django Island 2014
Working with ops & support staff Large infrastructure, lots of
moving parts whoami: lead dev @ exoscale
People need to know what's going on, anytime Not everyone
is a developer SSH, grep and tail not acceptable
Goal: visibility on infrastructure & apps
Errors Events Metrics
Errors
Easy: use sentry
Great tool for developers, but… People also need to know
about things that are not broken
Events
Event == log call Timestamped information about something worth knowing
Easy to emit logs Searching on remote machines, not so
much
Centralized logging Agent forwards logs to an aggregator Aggregator stores
logs and provides a search interface
Aggregator Hosts logstash+elasticsearch kibana log shippers
Collecting logs rsyslog / syslog-ng logstash-forwarder (lumberjack) logstash
In Python logging.handlers.SyslogHandler
Centralizing isn't enough
A common way to log things import logging logger =
logging.getLogger(__name__) logger.info("user {} logged in".format(user.email))
Not much information No structure
Structured logging Record = set of key-value pairs event="user logged
in" user="
[email protected]
" ip="1.2.3.4"
In Python: pip install structlog Hynek Schlawack logger = structlog.get_logger()
logger.info("user logged in", user="
[email protected]
" ip="1.2.3.4") {"event": "user.login", "user": "
[email protected]
", "host": "1.2.3.4"}
Contextual loggers log = logger.bind(user=request.user.email) log.info("payment", amount=120, currency="CHF") {"event": "payment",
"user": "
[email protected]
", "amount": 120, "currency": "CHF"}
structlog JSON elasticsearch Rich data for building dashboards
Demo
Marketing: "Who signed up today?" Finance: "How much income in
the past week?" Support: "What did this user do in the past 24 hours?"
Events Centralize logs Add structure Profit logstash, elasticsearch structlog kibana
Metrics
Time series data Continuous, regular intervals Big player: graphite ecosystem
carbon whisper graphite
<identifier> <value> <timestamp> db1.load.midterm 4.6 1399842778 Measure at regular intervals,
send using the carbon line protocol echo " … " | nc host port
Traditional metrics stack agents collectd, apps, scripts carbon whisper graphite
ingests metrics stores metrics renders graphs
Counting and timing: statsd In-memory buffer Aggregates and flushes to
carbon at regular intervals
In Python pystatsd django-statsd-mozilla from stastd import StastClient statsd =
StatsClient() @statsd.timer("something") def expensive_computation(): # …
Graphing Graphite: rendering API (json / PNG / etc) Countless
dashboard apps Grafana Graph-explorer etc
Demo
What about alerts? Riemann: metrics hub/proxy App server overloaded, full
disk, etc Analyzes metrics computes aggregates notifies
Demo
we are hiring! Questions! @brutasse Image credits: http://en.wikipedia.org/wiki/Explosion
Resources Events Metrics structlog.org rsyslog logstash elasticsearch kibana carbon /
whisper graphite-api grafana collectd statsd riemann.io bernhard
Hosted services (not exhaustive) Logging Metrics Loggly Papertrail Hosted Graphite
Librato JSON / structured logging support?