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58 lines
1.4 KiB
Markdown
58 lines
1.4 KiB
Markdown
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title = "Observability"
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weight = 25
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+++
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An object store can be used as data storage location for metrics, and logs which
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can then be leveraged for systems observability.
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## Metrics
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### Prometheus
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Prometheus itself has no object store capabilities, however two projects exist
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which support storing metrics in an object store:
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- [Cortex](https://cortexmetrics.io/)
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- [Thanos](https://thanos.io/)
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## System logs
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### Vector
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[Vector](https://vector.dev/) natively supports S3 as a
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[data sink](https://vector.dev/docs/reference/configuration/sinks/aws_s3/)
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(and [source](https://vector.dev/docs/reference/configuration/sources/aws_s3/)).
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This can be configured with Garage with the following:
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```bash
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garage key new --name vector-system-logs
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garage bucket create system-logs
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garage bucket allow system-logs --read --write --key vector-system-logs
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```
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The `vector.toml` can then be configured as follows:
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```toml
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[sources.journald]
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type = "journald"
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current_boot_only = true
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[sinks.out]
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encoding.codec = "json"
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type = "aws_s3"
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inputs = [ "journald" ]
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bucket = "system-logs"
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key_prefix = "%F/"
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compression = "none"
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region = "garage"
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endpoint = "https://my-garage-instance.mydomain.tld"
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auth.access_key_id = ""
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auth.secret_access_key = ""
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```
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This is an example configuration - please refer to the Vector documentation for
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all configuration and transformation possibilities. Also note that Garage
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performs its own compression, so this should be disabled in Vector.
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