- 25 Aug, 2016 1 commit
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Paco Guzman authored
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- 17 Aug, 2016 1 commit
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Yorick Peterse authored
GitLab Performance Monitoring is now able to track custom events not directly related to application performance. These events include the number of tags pushed, repositories created, builds registered, etc. The use of these events is to get a better overview of how a GitLab instance is used and how that may affect performance. For example, a large number of Git pushes may have a negative impact on the underlying storage engine. Events are stored in the "events" measurement and are not prefixed with "rails_" or "sidekiq_", this makes it easier to query events with the same name triggered from different parts of the application. All events being stored in the same measurement also makes it easier to downsample data. Currently the following events are tracked: * Creating repositories * Removing repositories * Changing the default branch of a repository * Pushing a new tag * Removing an existing tag * Pushing a commit (along with the branch being pushed to) * Pushing a new branch * Removing an existing branch * Importing a repository (along with the URL we're importing) * Forking a repository (along with the source/target path) * CI builds registered (and when no build could be found) * CI builds being updated * Rails and Sidekiq exceptions Fixes gitlab-org/gitlab-ce#13720
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- 17 Jun, 2016 1 commit
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Paco Guzman authored
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- 16 Jun, 2016 2 commits
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James Lopez authored
This reverts commit 13e37a3e.
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James Lopez authored
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- 14 Jun, 2016 1 commit
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Paco Guzman authored
Generating the following tags Grape#GET /projects/:id/archive from Grape::Route objects like { :path => /:version/projects/:id/archive(.:format) :version => “v3”, :method => “GET” } Use an instance variable to cache raw_path transformations. This variable is only going to growth to the number of endpoints of the API, not with exact different requests We can store this cache as an instance variable because middleware are initialised only once
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- 11 Jan, 2016 1 commit
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Yorick Peterse authored
Without this it's impossible to find out what methods/views/queries are executed by a certain controller or Sidekiq worker. While this will increase the total number of series it should stay within reasonable limits due to the amount of "actions" being small enough.
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- 07 Jan, 2016 1 commit
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Yorick Peterse authored
Since filtering by these values is very rare (they're mostly just displayed as-is) we don't need to waste any index space by saving them as tags. By storing them as values we also greatly reduce the number of series in InfluxDB.
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- 04 Jan, 2016 1 commit
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Yorick Peterse authored
This ensures Rails and Sidekiq transactions are split into the series "rails_transactions" and "sidekiq_transactions" respectively.
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- 31 Dec, 2015 1 commit
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Yorick Peterse authored
This removes the need for tagging all metrics with a "process_type" tag.
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- 17 Dec, 2015 1 commit
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Yorick Peterse authored
This adds the ability to write application metrics (e.g. SQL timings) to InfluxDB. These metrics can in turn be visualized using Grafana, or really anything else that can read from InfluxDB. These metrics can be used to track application performance over time, between different Ruby versions, different GitLab versions, etc. == Transaction Metrics Currently the following is tracked on a per transaction basis (a transaction is a Rails request or a single Sidekiq job): * Timings per query along with the raw (obfuscated) SQL and information about what file the query originated from. * Timings per view along with the path of the view and information about what file triggered the rendering process. * The duration of a request itself along with the controller/worker class and method name. * The duration of any instrumented method calls (more below). == Sampled Metrics Certain metrics can't be directly associated with a transaction. For example, a process' total memory usage is unrelated to any running transactions. While a transaction can result in the memory usage going up there's no accurate way to determine what transaction is to blame, this becomes especially problematic in multi-threaded environments. To solve this problem there's a separate thread that takes samples at a fixed interval. This thread (using the class Gitlab::Metrics::Sampler) currently tracks the following: * The process' total memory usage. * The number of file descriptors opened by the process. * The amount of Ruby objects (using ObjectSpace.count_objects). * GC statistics such as timings, heap slots, etc. The default/current interval is 15 seconds, any smaller interval might put too much pressure on InfluxDB (especially when running dozens of processes). == Method Instrumentation While currently not yet used methods can be instrumented to track how long they take to run. Unlike the likes of New Relic this doesn't require modifying the source code (e.g. including modules), it all happens from the outside. For example, to track `User.by_login` we'd add the following code somewhere in an initializer: Gitlab::Metrics::Instrumentation. instrument_method(User, :by_login) to instead instrument an instance method: Gitlab::Metrics::Instrumentation. instrument_instance_method(User, :save) Instrumentation for either all public model methods or a few crucial ones will be added in the near future, I simply haven't gotten to doing so just yet. == Configuration By default metrics are disabled. This means users don't have to bother setting anything up if they don't want to. Metrics can be enabled by editing one's gitlab.yml configuration file (see config/gitlab.yml.example for example settings). == Writing Data To InfluxDB Because InfluxDB is still a fairly young product I expect the worse. Data loss, unexpected reboots, the database not responding, you name it. Because of this data is _not_ written to InfluxDB directly, instead it's queued and processed by Sidekiq. This ensures that users won't notice anything when InfluxDB is giving trouble. The metrics worker can be started in a standalone manner as following: bundle exec sidekiq -q metrics The corresponding class is called MetricsWorker.
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