66 lines
2.8 KiB
Markdown
66 lines
2.8 KiB
Markdown
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# GitLab Performance Monitoring
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GitLab comes with its own application performance measuring system as of GitLab
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8.4, simply called "GitLab Performance Monitoring". GitLab Performance Monitoring is available in both the
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Community and Enterprise editions.
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Apart from this introduction, you are advised to read through the following
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documents in order to understand and properly configure GitLab Performance Monitoring:
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- [GitLab Configuration](gitlab_configuration.md)
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- [InfluxDB Install/Configuration](influxdb_configuration.md)
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- [InfluxDB Schema](influxdb_schema.md)
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- [Grafana Install/Configuration](grafana_configuration.md)
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## Introduction to GitLab Performance Monitoring
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GitLab Performance Monitoring makes it possible to measure a wide variety of statistics
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including (but not limited to):
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- The time it took to complete a transaction (a web request or Sidekiq job).
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- The time spent in running SQL queries and rendering HAML views.
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- The time spent executing (instrumented) Ruby methods.
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- Ruby object allocations, and retained objects in particular.
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- System statistics such as the process' memory usage and open file descriptors.
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- Ruby garbage collection statistics.
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Metrics data is written to [InfluxDB][influxdb] over [UDP][influxdb-udp]. Stored
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data can be visualized using [Grafana][grafana] or any other application that
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supports reading data from InfluxDB. Alternatively data can be queried using the
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InfluxDB CLI.
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## Metric Types
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Two types of metrics are collected:
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1. Transaction specific metrics.
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1. Sampled metrics, collected at a certain interval in a separate thread.
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### Transaction Metrics
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Transaction metrics are metrics that can be associated with a single
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transaction. This includes statistics such as the transaction duration, timings
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of any executed SQL queries, time spent rendering HAML views, etc. These metrics
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are collected for every Rack request and Sidekiq job processed.
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### Sampled Metrics
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Sampled metrics are metrics that can't be associated with a single transaction.
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Examples include garbage collection statistics and retained Ruby objects. These
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metrics are collected at a regular interval. This interval is made up out of two
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parts:
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1. A user defined interval.
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1. A randomly generated offset added on top of the interval, the same offset
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can't be used twice in a row.
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The actual interval can be anywhere between a half of the defined interval and a
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half above the interval. For example, for a user defined interval of 15 seconds
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the actual interval can be anywhere between 7.5 and 22.5. The interval is
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re-generated for every sampling run instead of being generated once and re-used
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for the duration of the process' lifetime.
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[influxdb]: https://influxdata.com/time-series-platform/influxdb/
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[influxdb-udp]: https://docs.influxdata.com/influxdb/v0.9/write_protocols/udp/
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[grafana]: http://grafana.org/
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