Fix documents
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@ -77,10 +77,10 @@ cloud-native, for example on Kubernetes.
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The data flow is the same as described in the [data flow section](#data-flow)
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with one change: _the stored path of the first two phases is different_. This new live
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trace architecture stores chunks of traces in Redis and the database instead of
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trace architecture stores chunks of traces in Redis and a persistent store (object storage or database) instead of
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file storage. Redis is used as first-class storage, and it stores up-to 128KB
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of data. Once the full chunk is sent, it is flushed to database. After a while,
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the data in Redis and database will be archived to [object storage](#uploading-traces-to-object-storage).
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of data. Once the full chunk is sent, it is flushed a persistent store, either object storage(temporary directory) or database.
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After a while, the data in Redis and a persitent store will be archived to [object storage](#uploading-traces-to-object-storage).
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The data are stored in the following Redis namespace: `Gitlab::Redis::SharedState`.
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@ -89,11 +89,11 @@ Here is the detailed data flow:
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1. GitLab Runner picks a job from GitLab
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1. GitLab Runner sends a piece of trace to GitLab
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1. GitLab appends the data to Redis
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1. Once the data in Redis reach 128KB, the data is flushed to the database.
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1. Once the data in Redis reach 128KB, the data is flushed to a persistent store (object storage or the database).
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1. The above steps are repeated until the job is finished.
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1. Once the job is finished, GitLab schedules a Sidekiq worker to archive the trace.
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1. The Sidekiq worker archives the trace to object storage and cleans up the trace
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in Redis and the database.
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in Redis and a persistent store (object storage or the database).
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### Enabling live trace
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