66 lines
2.3 KiB
YAML
66 lines
2.3 KiB
YAML
server:
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http_listen_port: 3200
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distributor:
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receivers: # this configuration will listen on all ports and protocols that tempo is capable of.
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jaeger: # the receives all come from the OpenTelemetry collector. more configuration information can
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protocols: # be found there: https://github.com/open-telemetry/opentelemetry-collector/tree/main/receiver
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thrift_http: #
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endpoint: "tempo:14268" # for a production deployment you should only enable the receivers you need!
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grpc:
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endpoint: "tempo:14250"
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thrift_binary:
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endpoint: "tempo:6832"
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thrift_compact:
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endpoint: "tempo:6831"
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zipkin:
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endpoint: "tempo:9411"
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otlp:
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protocols:
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grpc:
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endpoint: "tempo:4317"
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http:
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endpoint: "tempo:4318"
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opencensus:
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endpoint: "tempo:55678"
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compactor:
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compaction:
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compaction_window: 1h # blocks in this time window will be compacted together
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max_block_bytes: 100_000_000 # maximum size of compacted blocks
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block_retention: 1h
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compacted_block_retention: 10m
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metrics_generator:
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traces_storage:
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path: /tmp/tempo/generator/traces
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registry:
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external_labels:
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source: tempo
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cluster: docker-compose
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storage:
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path: /tmp/tempo/generator/wal
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remote_write:
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- url: http://prometheus:9090/api/v1/write
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send_exemplars: true
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storage:
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trace:
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backend: local # backend configuration to use
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block:
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bloom_filter_false_positive: .05 # bloom filter false positive rate. lower values create larger filters but fewer false positives
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v2_index_downsample_bytes: 1000 # number of bytes per index record
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v2_encoding: zstd # block encoding/compression. options: none, gzip, lz4-64k, lz4-256k, lz4-1M, lz4, snappy, zstd, s2
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wal:
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path: /tmp/tempo/wal # where to store the wal locally
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v2_encoding: snappy # wal encoding/compression. options: none, gzip, lz4-64k, lz4-256k, lz4-1M, lz4, snappy, zstd, s2
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local:
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path: /tmp/tempo/blocks
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overrides:
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defaults:
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metrics_generator:
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processors: [local-blocks, service-graphs, span-metrics]
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stream_over_http_enabled: true
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