mirror of
https://gitlab.archlinux.org/archlinux/infrastructure.git
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0c97667925
This will be our backend for a Grafana-based APM. It is sorely required for gaining insights into why application such as aurweb are slow. We currently only enable the OTLP receiver as it seems to be the most modern and best supported one. We connect directly to the prometheus at localhost for the generated metrics. We're also using just storing traces locally in files instead of something like S3.
52 lines
1.3 KiB
Django/Jinja
52 lines
1.3 KiB
Django/Jinja
stream_over_http_enabled: true
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server:
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http_listen_address: 127.0.0.1
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http_listen_port: 3200
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grpc_listen_address: 127.0.0.1
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grpc_listen_port: 3201
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log_level: info
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query_frontend:
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search:
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duration_slo: 5s
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throughput_bytes_slo: 1.073741824e+09
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trace_by_id:
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duration_slo: 5s
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distributor:
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receivers:
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otlp:
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protocols:
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http:
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endpoint: {{ wireguard_address }}:4318
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ingester:
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max_block_duration: 5m # cut the headblock when this much time passes. this is being set for demo purposes and should probably be left alone normally
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compactor:
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compaction:
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block_retention: 1h # overall Tempo trace retention. set for demo purposes
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metrics_generator:
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registry:
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external_labels:
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source: tempo
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storage:
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path: /var/lib/tempo/generator/wal
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remote_write:
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- url: http://localhost:9090/api/v1/write
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send_exemplars: true
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traces_storage:
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path: /var/lib/tempo/generator/traces
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storage:
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trace:
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backend: local # backend configuration to use
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wal:
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path: /var/lib/tempo/wal # where to store the wal locally
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local:
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path: /var/lib/tempo/blocks
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overrides:
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metrics_generator_processors: [service-graphs, span-metrics, local-blocks] # enables metrics generator
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