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## What changed? <!-- Describe what has changed in this PR --> Added Grafana Tempo - an OTEL collector - to the developer setup. Since we're already using Grafana, Tempo seemed like a logical choice. ## Why? <!-- Tell your future self why have you made these changes --> It allows developers to see all the RPC calls they are making (e.g. when running the server locally or a functional test). Tempo allows filtering by workflow ID. _(note that not _all_ places are tagged yet, but lots of them)_ ## How did you test it? <!-- How have you verified this change? Tested locally? Added a unit test? Checked in staging env? --> ``` make start-grafana-tempo make OTEL=true start ``` ``` tctl --ns default namespace register tctl wf start --tq test --wid test -wt test ``` <img width="3352" alt="image" src="https://github.com/user-attachments/assets/5809691a-da32-4a04-8e80-700f8acd47e5" /> And running a functional test from the IDE: <img width="3346" alt="image" src="https://github.com/user-attachments/assets/061bfaf3-0a34-4b4e-a06c-497dfa3a948a" /> ## Potential risks <!-- Assuming the worst case, what can be broken when deploying this change to production? --> ## Documentation <!-- Have you made sure this change doesn't falsify anything currently stated in `docs/`? If significant new behavior is added, have you described that in `docs/`? --> Updated docs/development/tracing.md ## Is hotfix candidate? <!-- Is this PR a hotfix candidate or does it require a notification to be sent to the broader community? (Yes/No) -->
83 lines
2.5 KiB
YAML
83 lines
2.5 KiB
YAML
# Copied from https://github.com/grafana/tempo/blob/main/example/docker-compose/local/tempo.yaml
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stream_over_http_enabled: true
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server:
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http_listen_port: 3200
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log_level: info
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cache:
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background:
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writeback_goroutines: 5
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caches:
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- roles:
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- frontend-search
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memcached:
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host: memcached:11211
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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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metadata_slo:
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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: 100ms
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metrics:
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max_duration: 120h # maximum duration of a metrics query, increase for local setups
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query_backend_after: 5m
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duration_slo: 5s
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throughput_bytes_slo: 1.073741824e+09
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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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grpc: # for a production deployment you should only enable the receivers you need!
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thrift_binary:
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thrift_compact:
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zipkin:
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otlp:
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protocols:
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http:
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grpc:
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opencensus:
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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: 24h # 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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cluster: docker-compose
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storage:
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path: /var/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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traces_storage:
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path: /var/tempo/generator/traces
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processor:
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local_blocks:
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filter_server_spans: false
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flush_to_storage: 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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wal:
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path: /var/tempo/wal # where to store the wal locally
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local:
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path: /var/tempo/blocks
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overrides:
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defaults:
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metrics_generator:
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processors: [service-graphs, span-metrics, local-blocks] # enables metrics generator
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generate_native_histograms: both |