Welcome to the TraceView Ruby Gem
AKA The oboe gem
The oboe gem provides AppNeta TraceView instrumentation for Ruby.
It has the ability to report performance metrics on an array of libraries, databases and frameworks such as Rails, Mongo, Memcache, ActiveRecord, Cassandra, Rack, Resque and more.
It requires a TraceView account to view metrics. Get yours, it's free.
Installation
The oboe gem is available on Rubygems and can be installed with:
gem install oboe
or added to your bundle Gemfile and running bundle install
:
gem 'oboe'
Running
Rails
No special steps are needed to instrument Ruby on Rails. Once part of the bundle, the oboe gem will automatically detect Rails and instrument on stack initialization.
Note: You will still need to decide on your tracing_mode
depending on whether you are running with an instrumented Apache or nginx in front of your Rails stack. See below for more details.
The Install Generator
The oboe gem provides a Rails generator used to seed an oboe initializer where you can configure and control tracing_mode
, sample_rate
and other options.
To run the install generator run:
bundle exec rails generate oboe:install
After the prompts, this will create an initializer: config/initializers/oboe.rb
.
Sinatra/Padrino
You can instrument your Sinatra or Padrino application by adding the following code to your config.ru
Rackup file (Padrino example).
require 'oboe'
require 'oboe/inst/rack'
# When traces should be initiated for incoming requests. Valid options are
# "always", "through" (when the request is initiated with a tracing header
# from upstream) and "never". You must set this directive to "always" in
# order to initiate tracing.
Oboe::Config[:tracing_mode] = 'through'
# You can remove the following line in production to allow for
# auto sampling or managing the sample rate through the TraceView portal.
# Oboe::Config[:sample_rate] = 1000000
# You may want to replace the Oboe.logger with your own
Oboe.logger = Padrino.logger
Oboe::Ruby.initialize
Padrino.use Oboe::Rack
In a future release, much of this will be automated.
Custom Ruby Scripts & Applications
The oboe gem has the ability to instrument any arbitrary Ruby application or script as long as the gem is initialized with the manual methods:
require 'rubygems'
require 'bundler'
Bundler.require
require 'oboe'
Oboe::Ruby.initialize
From here, you can use the Tracing API to instrument areas of code (see below).
Other
You can send deploy notifications to TraceView and have the events show up on your dashboard. See: Capistrano Deploy Notifications with tlog.
Custom Tracing
The Tracing API
You can instrument any arbitrary block of code using the following pattern:
# layer_name will show up in the TraceView app dashboard
layer_name = 'subsystemX'
# report_kvs are a set of information Key/Value pairs that are sent to TraceView along with the performance metrics.
# These KV pairs can report on request, environment or client specific information.
report_kvs = {}
report_kvs[:mykey] = @client.id
Oboe::API.trace(layer_name, report_kvs) do
# the block of code to be traced
end
Find more details in the TraceView documentation portal.
Tracing Methods
By using class level declarations, it's possible to automatically have certain methods on that class instrumented and reported to your TraceView dashboard automatically.
The pattern for Method Profiling is as follows:
# 'profile_name' is similar to a layer name.
# It identifies this custom trace in your dashboard.
#
class Engine
include OboeMethodProfiling
def processor()
# body of method
end
# call syntax: profile_method <method>, <profile_name>
profile_method :processor, 'processor'
end
This example demonstrates method profiling of instance methods. Class methods are profiled slightly differently. See the TraceView documentation portal for full details.
Support
If you find a bug or would like to request an enhancement, feel free to file an issue. For all other support requests, see our support portal or on IRC @ #appneta on Freenode.
Contributing
You are obviously a person of great sense and intelligence. We happily appreciate all contributions to the oboe gem whether it is documentation, a bug fix, new instrumentation for a library or framework or anything else we haven't thought of.
We welcome you to send us PRs. We also humbly request that any new instrumentation submissions have corresponding tests that accompany them. This way we don't break any of your additions when we (and others) make changes after the fact.
Developer Resources
We at AppNeta have made a large effort to expose as much technical information as possible to assist developers wishing to contribute to the oboe gem. Below are the three major sources for information and help for developers:
The TraceView blog has a constant stream of great technical articles. (See A Gentle X-Trace Introduction for details on the basic methodology that TraceView uses to gather structured performance data across hosts and stacks.)
The TraceView Knowledge Base has a large collection of technical articles or, if needed, you can submit a support request directly to the team.
You can also reach the TraceView team on our IRC channel #appneta on freenode.
If you have any questions or ideas, don't hesitate to contact us anytime.
Layout of the Gem
The oboe gem uses a standard gem layout. Here are the notable directories.
lib/oboe/inst # Auto load directory for various instrumented libraries
lib/oboe/frameworks # Framework instrumentation directory
lib/oboe/frameworks/rails # Files specific to Rails instrumentation
lib/rails # A Rails required directory for the Rails install generator
lib/api # The TraceView Tracing API: layers, logging, profiling and tracing
ext/ # The Ruby c extension that links against the system liboboe library
Building the Gem
The oboe gem is built with the standard gem build
command passing in the gemspec:
gem build oboe.gemspec
Writing Custom Instrumentation
Custom instrumentation for a library, database or other service can be authored fairly easily. Generally, instrumentation of a library is done by wrapping select operations of that library and timing their execution using the Oboe Tracing API which then reports the metrics to the users' TraceView dashboard.
Here, I'll use a stripped down version of the Dalli instrumentation (lib/oboe/inst/dalli.rb
) as a quick example of how to instrument a client library (the dalli gem).
The Dalli gem nicely routes all memcache operations through a single perform
operation. Wrapping this method allows us to capture all Dalli operations called by an application.
First, we define a module (Oboe::Inst::Dalli) and our own custom perform_with_oboe
method that we will use as a wrapper around Dalli's perform
method. We also declare an included
method which automatically gets called when this module is included by another. See 'included' Ruby reference documentation.
module Oboe
module Inst
module Dalli
include Oboe::API::Memcache
def self.included(cls)
cls.class_eval do
if ::Dalli::Client.private_method_defined? :perform
alias perform_without_oboe perform
alias perform perform_with_oboe
end
end
end
def perform_with_oboe(*all_args, &blk)
op, key, *args = *all_args
if Oboe.tracing?
opts = {}
opts[:KVOp] = op
opts[:KVKey] = key
Oboe::API.trace('memcache', opts || {}) do
result = perform_without_oboe(*all_args, &blk)
if op == :get and key.class == String
Oboe::API.log('memcache', 'info', { :KVHit => memcache_hit?(result) })
end
result
end
else
perform_without_oboe(*all_args, &blk)
end
end
end
end
end
Second, we tail onto the end of the instrumentation file a simple ::Dalli::Client.module_eval
call to tell the Dalli module to include our newly defined instrumentation module. Doing this will invoke our previously defined included
method.
if defined?(Dalli) and Oboe::Config[:dalli][:enabled]
::Dalli::Client.module_eval do
include Oboe::Inst::Dalli
end
end
Third, in our wrapper method, we capture the arguments passed in, collect the operation and key information into a local hash and then invoke the Oboe::API.trace
method to time the execution of the original operation.
The Oboe::API.trace
method calls Dalli's native operation and reports the timing metrics and your custom report_kvs
up to TraceView servers to be shown on the user's dashboard.
That is a very quick example of a simple instrumentation implementation. If you have any questions, visit us on IRC in #appneta on Freenode.
Some other tips and guidelines:
You can point your Gemfile directly at your cloned oboe source by using
gem 'oboe', :path => '/path/to/oboe-ruby'
If instrumenting a library, database or service, place your new instrumentation file into the
lib/oboe/inst/
directory. From there, the oboe gem will detect it and automatically load the instrumentation file.If instrumentating a new framework, place your instrumentation file in
lib/oboe/frameworks
. Refer to the Rails instrumentation for on ideas on how to load the oboe gem correctly in your framework.Review other existing instrumention similar to the one you wish to author.
lib/oboe/inst/
is a great place to start.Depending on the configured
:sample_rate
, not all requests will be traced. UseOboe.tracing?
to determine of this is a request that is being traced.Performance is paramount. Make sure that your wrapped methods don't slow down users applications.
Include tests with your instrumentation. See
test/instrumentation/
for some examples of existing instrumentation tests.
Compiling the C extension
The oboe gem utilizes a C extension to interface with the system liboboe.so
library. This system library is installed with the TraceView host packages (tracelyzer, liboboe0, liboboe-dev) and is used to report host and performance metrics from multiple sources (Ruby, Apache, Python etc.) back to TraceView servers.
C extensions are usually built on gem install
but when working out of a local git repository, it's required that you manually build this C extension for the gem to function.
To make this simpler, we've included a few rake tasks to automate this process:
rake compile # Build the gem's c extension
rake distclean # Remove all built files and extensions
rake recompile # Rebuild the gem's c extension
Note: Make sure you have the development package liboboe0-dev
installed before attempting to compile the C extension.
>$ dpkg -l | grep liboboe
ii liboboe-dev 1.1.1-precise1 Tracelytics common library -- development files
ii liboboe0 1.1.1-precise1 Tracelytics common library
See Installing Base Packages on Debian and Ubuntu in the Knowledge Base for details. Our hacker extraodinaire Rob Salmond from the support team has even gotten these packages to run on Gentoo!
To see the code related to the C extension, take a look at ext/oboe_metal/extconf.rb
for details.
You can read more about Ruby gems with C extensions in the Rubygems Guides.
Running the Tests
The tests bundled with the gem are implemented using Minitest. The tests are currently used to validate the sanity of the traces generated and basic gem functionality.
After a bundle install, the tests can be run as:
bundle exec rake test
This will run a full end-to-end test suite that covers all supported libraries and databases. Note that this requires all of the supported software (Cassandra, Memcache, Mongo etc.) to be installed, configured and available.
Since this is overly burdonsome for casual users, you can run just the tests that you're interested in.
To run just the tests for the dalli gem trace validation:
bundle exec rake test TEST=test/instrumentation/dalli_test.rb
We humbly request that any submitted instrumention is delivered with corresponding test coverage.
License
Copyright (c) 2013 Appneta
Released under the AppNeta Open License, Version 1.0