2015-09-09 13:05:11 +03:00
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# ---------------------------------------------------------------------------
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#
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# This file configures the New Relic Python Agent.
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#
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# The path to the configuration file should be supplied to the function
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# newrelic.agent.initialize() when the agent is being initialized.
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#
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# The configuration file follows a structure similar to what you would
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# find for Microsoft Windows INI files. For further information on the
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# configuration file format see the Python ConfigParser documentation at:
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#
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# http://docs.python.org/library/configparser.html
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#
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# For further discussion on the behaviour of the Python agent that can
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# be configured via this configuration file see:
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#
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# http://newrelic.com/docs/python/python-agent-configuration
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#
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# ---------------------------------------------------------------------------
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# Here are the settings that are common to all environments.
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[newrelic]
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# You must specify the license key associated with your New
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# Relic account. This key binds the Python Agent's data to your
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# account in the New Relic service.
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# license_key = use NEW_RELIC_LICENSE_KEY environment variable
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# The appplication name. Set this to be the name of your
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# application as you would like it to show up in New Relic UI.
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# The UI will then auto-map instances of your application into a
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# entry on your home dashboard page.
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# app_name = use NEW_RELIC_APP_NAME environment variable
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# When "true", the agent collects performance data about your
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# application and reports this data to the New Relic UI at
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# newrelic.com. This global switch is normally overridden for
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# each environment below.
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monitor_mode = true
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# Sets the name of a file to log agent messages to. Useful for
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# debugging any issues with the agent. This is not set by
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# default as it is not known in advance what user your web
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# application processes will run as and where they have
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# permission to write to. Whatever you set this to you must
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# ensure that the permissions for the containing directory and
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# the file itself are correct, and that the user that your web
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# application runs as can write to the file. If not able to
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# write out a log file, it is also possible to say "stderr" and
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# output to standard error output. This would normally result in
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# output appearing in your web server log.
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#log_file = /tmp/newrelic-python-agent.log
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# Sets the level of detail of messages sent to the log file, if
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# a log file location has been provided. Possible values, in
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# increasing order of detail, are: "critical", "error", "warning",
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# "info" and "debug". When reporting any agent issues to New
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# Relic technical support, the most useful setting for the
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# support engineers is "debug". However, this can generate a lot
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# of information very quickly, so it is best not to keep the
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# agent at this level for longer than it takes to reproduce the
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# problem you are experiencing.
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log_level = info
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# The Python Agent communicates with the New Relic service using
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# SSL by default. Note that this does result in an increase in
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# CPU overhead, over and above what would occur for a non SSL
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# connection, to perform the encryption involved in the SSL
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# communication. This work is though done in a distinct thread
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# to those handling your web requests, so it should not impact
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# response times. You can if you wish revert to using a non SSL
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# connection, but this will result in information being sent
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# over a plain socket connection and will not be as secure.
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ssl = true
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# High Security Mode enforces certain security settings, and
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# prevents them from being overridden, so that no sensitive data
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# is sent to New Relic. Enabling High Security Mode means that
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# SSL is turned on, request parameters are not collected, and SQL
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# can not be sent to New Relic in its raw form. To activate High
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# Security Mode, it must be set to 'true' in this local .ini
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# configuration file AND be set to 'true' in the server-side
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# configuration in the New Relic user interface. For details, see
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# https://docs.newrelic.com/docs/subscriptions/high-security
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high_security = true
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# The Python Agent will attempt to connect directly to the New
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# Relic service. If there is an intermediate firewall between
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# your host and the New Relic service that requires you to use a
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# HTTP proxy, then you should set both the "proxy_host" and
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# "proxy_port" settings to the required values for the HTTP
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# proxy. The "proxy_user" and "proxy_pass" settings should
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# additionally be set if proxy authentication is implemented by
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# the HTTP proxy. The "proxy_scheme" setting dictates what
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# protocol scheme is used in talking to the HTTP protocol. This
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# would normally always be set as "http" which will result in the
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# agent then using a SSL tunnel through the HTTP proxy for end to
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# end encryption.
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# proxy_scheme = http
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# proxy_host = hostname
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# proxy_port = 8080
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# proxy_user =
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# proxy_pass =
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# Tells the transaction tracer and error collector (when
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# enabled) whether or not to capture the query string for the
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# URL and send it as the request parameters for display in the
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# UI. When "true", it is still possible to exclude specific
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# values from being captured using the "ignored_params" setting.
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capture_params = false
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# Space separated list of variables that should be removed from
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# the query string captured for display as the request
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# parameters in the UI.
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ignored_params =
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# The transaction tracer captures deep information about slow
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# transactions and sends this to the UI on a periodic basis. The
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# transaction tracer is enabled by default. Set this to "false"
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# to turn it off.
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transaction_tracer.enabled = true
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# Threshold in seconds for when to collect a transaction trace.
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# When the response time of a controller action exceeds this
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# threshold, a transaction trace will be recorded and sent to
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# the UI. Valid values are any positive float value, or (default)
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# "apdex_f", which will use the threshold for a dissatisfying
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# Apdex controller action - four times the Apdex T value.
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transaction_tracer.transaction_threshold = apdex_f
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# When the transaction tracer is on, SQL statements can
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# optionally be recorded. The recorder has three modes, "off"
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# which sends no SQL, "raw" which sends the SQL statement in its
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# original form, and "obfuscated", which strips out numeric and
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# string literals.
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transaction_tracer.record_sql = obfuscated
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# Threshold in seconds for when to collect stack trace for a SQL
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# call. In other words, when SQL statements exceed this
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# threshold, then capture and send to the UI the current stack
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# trace. This is helpful for pinpointing where long SQL calls
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# originate from in an application.
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transaction_tracer.stack_trace_threshold = 0.5
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# Determines whether the agent will capture query plans for slow
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# SQL queries. Only supported in MySQL and PostgreSQL. Set this
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# to "false" to turn it off.
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transaction_tracer.explain_enabled = true
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# Threshold for query execution time below which query plans
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# will not not be captured. Relevant only when "explain_enabled"
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# is true.
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transaction_tracer.explain_threshold = 0.5
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# Space separated list of function or method names in form
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# 'module:function' or 'module:class.function' for which
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# additional function timing instrumentation will be added.
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transaction_tracer.function_trace =
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# The error collector captures information about uncaught
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# exceptions or logged exceptions and sends them to UI for
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# viewing. The error collector is enabled by default. Set this
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# to "false" to turn it off.
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error_collector.enabled = true
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# To stop specific errors from reporting to the UI, set this to
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# a space separated list of the Python exception type names to
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# ignore. The exception name should be of the form 'module:class'.
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error_collector.ignore_errors =
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# Browser monitoring is the Real User Monitoring feature of the UI.
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# For those Python web frameworks that are supported, this
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# setting enables the auto-insertion of the browser monitoring
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# JavaScript fragments.
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2015-12-10 23:35:12 +03:00
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browser_monitoring.auto_instrument = false
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2015-09-09 13:05:11 +03:00
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# A thread profiling session can be scheduled via the UI when
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# this option is enabled. The thread profiler will periodically
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# capture a snapshot of the call stack for each active thread in
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# the application to construct a statistically representative
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# call tree.
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thread_profiler.enabled = true
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# ---------------------------------------------------------------------------
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#
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# The application environments. These are specific settings which
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# override the common environment settings. The settings related to a
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# specific environment will be used when the environment argument to the
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# newrelic.agent.initialize() function has been defined to be either
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# "development", "test", "staging" or "production".
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#
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[newrelic:development]
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monitor_mode = false
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[newrelic:test]
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monitor_mode = false
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[newrelic:staging]
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app_name = Python Application (Staging)
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monitor_mode = true
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[newrelic:production]
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monitor_mode = true
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# ---------------------------------------------------------------------------
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