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A tool for observing trends in HTTP access logs by look for patterns in request behavior.

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Top Logs

Tops logs is a tool which can be used to parse through access logs to understand usage trends and hunt for problems. It generates reports that shows top X (where X is a number that defaults to 10) lists of different metrics, like request queries, user agents, response times, etc.

Features

  • Supported log formats:

    • Common
    • Combined
    • Gorouter
    • Cloud Controller
  • Read access logs and report the following metrics:

    • Common
      • Duration of logs (oldest and newest log dates)
      • Total number of requests
      • Total number of requests the tool didn't understand/couldn't parse
      • Top X Response Codes
      • Top X Request Methods
      • Top X Requests (no query params)
      • Top X Requests (with query params)
    • Combined
      • Duration of logs (oldest and newest log dates)
      • Total number of requests
      • Total number of requests the tool didn't understand/couldn't parse
      • Top X Response Codes
      • Top X Request Methods
      • Top X Requests (no query params)
      • Top X Requests (with query params)
      • Top X User Agents
      • Top X Referrers
      • Top X Client IPs
    • Cloud Controller
      • Duration of logs (oldest and newest log dates)
      • Total number of requests
      • Total number of requests the tool didn't understand/couldn't parse
      • Top X Response Codes
      • Top X Request Methods
      • Top X Requests (no query params)
      • Top X Requests (with query params)
      • Top X User Agents
      • Top X Referrers
      • Top X X-Forwarded-For Ips
      • Response time histogram
    • Gorouter
      • Duration of logs (oldest and newest log dates)
      • Total number of requests
      • Total number of requests the tool didn't understand/couldn't parse
      • Top X Response Codes
      • Top X Request Methods
      • Top X Requests (no query params)
      • Top X Requests (with query params)
      • Top X User Agents
      • Top X Referrers
      • Top X Client IPs
      • Top X X-Forwarded-For Ips
      • Response time histogram
      • Gorouter time histogram
      • Top X Backend Address (Cells & Platform VMs)
      • Top X Destination Hosts
      • Top X App GUIDs
      • Top X x_cf_routererror responses

Usage

top-logs 1.4.0
Daniel Mikusa <[email protected]>
Tops logs is a tool which can be used to parse through access logs to understand usage trends and
hunt for problems

USAGE:
    top-logs [OPTIONS] --format <LOG_FORMAT> <ACCESS_LOG>...

ARGS:
    <ACCESS_LOG>...    Access logs to process or '-' (a dash) to read from STDIN

OPTIONS:
    -f, --format <LOG_FORMAT>
            access log format [possible values: common, combined, gorouter, cloud_controller]

    -h, --help
            Print help information

    -i, --ignore-parse-errors
            Don't log any parsing error

    -m, --min-response-time-threshold <MIN_THRESHOLD>
            Minimum threshold in number of requests for a response time bucket to be displayed.
            Smaller buckets are grouped together. [default: 100]

    -t, --top <NUM>
            number of results to display [default: 10]

    -V, --version
            Print version information

Tips

  • If the tool cannot parse a log line, it will print that log line & where parsing failed to STDERR. If you have a lot of log lines that are bad/cannot be parsed this can be annoying. You can use the -i option to supress these or you can >/dev/null on Unix systems.

  • To drill down into a particular subset of logs, the grep tool is very handy. Let's say you run top-logs and see that there are may requests coming from a specific user agent & you want to know more about just those requests. You can grep <user-agent> access.log > user-agent-access.log and then run top-logs on just that subset of logs. This is great for drilling into other things like slow requests, request hotspots and app/host hotspots.

License

This software is released under version 2.0 of the Apache License.

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A tool for observing trends in HTTP access logs by look for patterns in request behavior.

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