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Managing the logs of your (Rails) applications - Arrrrcamp 2011
 

Managing the logs of your (Rails) applications - Arrrrcamp 2011

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Removed most screenshots of log management tools to reduce size.

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    Managing the logs of your (Rails) applications - Arrrrcamp 2011 Managing the logs of your (Rails) applications - Arrrrcamp 2011 Presentation Transcript

    • Managing the logs of your (Rails) applications Lennart Koopmann, Arrrrcamp 2011 www.lennartkoopmann.net / @_lennart
    • About me 23 years old Living in Hamburg Rails developer at XING AG Developer of Graylog2
    • What is this log management stuff? Even grepping over flat files can be log management.
    • Log Management Maturity Scale Log management has different levels – Raffael Marty set up a scale for that.
    • Level 0 Do not collect logs at all.
    • Level 1 Collect logs. Mostly simple log files from email or HTTP servers.
    • Level 2 Use the logs for forensics and troubleshooting. Why was that email not sent out? Why was that HTTP 500 thrown?
    • Level 3 Save searches. The most basic case would be to save a grep command you used.
    • Level 4 Share searches. Store that search command somewhere so co-workers can find and use it to solve the same problem.
    • Level 5 Reporting.
    • Level 6 Alerting. Automate some of your troubleshooting tasks. Be warned automatically instead of waiting for a user to complain.
    • Level 7 Collect more logs! We may need more sources for some use cases – Like multi-line application logs, firewall logs or even physical access logs.
    • Level 8 Correlation. Manual analysis of all this new data may take too long – Correlate different sources.
    • Level 9 Visual analysis.
    • Next levels Pattern detection, interactive visualization, dynamic queries, anomaly detection, more sharing.
    • Collecting logs Two different types.
    • Type 1 Logs automatically generated from a service. For example apache2.log or mail.log – Usually huge amount of structured, but raw data. jira.graylog2.org:80 x.x.x.x - - [05/Oct/2011:01:47:38 +0200] "GET /browse/WEBINTERFACE-21?page=com.atlassian.jira.plugin.system.issuetabpanels%3Aall-tabpanel HTTP/1.1" 200 7639 "-" "Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)"
    • Type 2 Logs sent directly from within your application. Triggered for example by a log.error() call or an Exception catcher. - Possible to send structured via for example GELF 2011-05-29 18:55:51 +0200 [payment] Could not validate credit card: Got HTTP 404 from example.org
    • How to send your logs Don't store the logs in flat files. Send them somewhere to get more value out of them.
    • Syslog Syslog adapters for Rails are available and work pretty good.
    • GELF Graylog extended log format – Let's you structure your logs. Also check out structured syslog. Ruby library, Rack exception notifier and Ruby logger available. ( www.graylog2.org )
    • { ' message ':'[pay] ZOMG credit card invalid', ' full_message ':'Stacktrace.nSome env vars', ' host ':'www19', ' file ':'/var/www/app.rb', ' line ':2638, ' level ':1, ' _something ':'foo', ' _something_else ':'bar' }
    • AMQP Guaranteed and ordered delivery. Very flexible. Easily subscribe to the flow. Use routing keys to structure origin of the logs. Hell yeah, use this if you have an AMQP bus available. (or build one) Check out https://github.com/paukul/amqp_logging
    • Throw the messages out of your app like a hot potato Loose coupling! Your logs should always leave the application without interfering it! Prefer UDP over TCP, decouple AMQP log transports. Catch all exceptions and get back into the app flow.
    • Add more value to your logs For example pre-generate geo information for IP addresses or integrate the time_bandits gem.
    • https://github.com/skaes/time_bandits Completed in 680.378ms (View: 28.488, DB: 5.111(2,0), MC: 5.382(6r,0m), GC: 120.100(1), HP: 0(2000000,546468,18682541,934967)) | 200 OK [http://127.0.0.1/jobs/info] Can generate a deep insight view of your application performance when used with LogJam: https://github.com/alpinegizmo/logjam
    • Where to send your logs There are a lot of tools available.
    • Hosted services: Loggly www.loggly.com Dynamic pricing based on your usage Free for 200MB/day with 1 week retention time UDP/TCP/HTTP API as input for syslog
    • Two more hosted services: www.papertrailapp.com www.logentries.com
    • Commercial solutions: Splunk www.splunk.com Two license types: Free / Enterprise Supports any raw input
    • Open source tools: Logstash www.logstash.net Collect, parse and store logs for later use Input -> Filter -> Output Plays very well with Graylog2
    • Logstash inputs For example: AMQP, file, redis, stdin, syslog, tcp, stomp, twitter
    • Logstash filters For example: date, field, grep, grok, multiline
    • program { exec "since /var/log/messages" # Ignore certain messages match { pattern: "this is not an error" # Silence the output, ensure no further match attempts. reaction: none # no output break-if-match: yes # don't continue to the next match } match { pattern: "error" } }
    • Logstash outputs For example: amqp, elasticsearch, gelf, mongodb, redis, stdout, tcp, websocket
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    • Open source tools: Graylog2 www.graylog2.org Accepts syslog (TCP/UDP) and GELF (+ AMQP) Rails web interface for filtering, analytics, alerting, reporting, … Stores in MongoDB
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    • Log management use case: API consumer monitoring Something different from the usual alerting, monitoring and reporting.
    • Pre-processor script (or Logstash) parses raw access log (possibly via AMQP), combines multi line log messages of API engine and extracts value.
    • oauth_consumer_key, severity, http_status_code, processed (controller#action)
    • Pre-processor sends the extracted value including the raw message to Graylog2.
    • n.notify { :severity => 4, :short_message => “UsersController#show [500]”, :full_message => full_msg, :_oauth_consumer_key => “foo”, :_processed => “UsersController#show”, :_http_status_code => 500, ... ... }
    • Now use Graylog2 and the MongoDB shell to answer questions like...
    • What consumers are still using the deprecated find user by email call?
    • What errors are caused by the iPhone application?
    • Which applications keep causing errors?
    • Which consumers are inactive?
    • How many calls are done by the iPhone application and how many were it a month ago?
    • Extract everything you might need from the message in a structured format you can easily parse and query later. You already have all the data you need!
    • Unleash the power of your logs!
    • Q & A @_lennart www.lennartkoopmann.net