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https://github.com/hanzoai/otel-collector.git
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CONFIG_FILE in the Makefile points here, and it still said clickhousetraces and clickhouselogsexporter, so make run started nothing. All 10 components resolve against the built binary now, as do the 9 in conf/default.yaml, which is what the Dockerfiles ship.
122 lines
3.2 KiB
YAML
122 lines
3.2 KiB
YAML
receivers:
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otlp/spanmetrics:
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protocols:
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grpc:
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endpoint: "localhost:12345"
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otlp:
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protocols:
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grpc:
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http:
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jaeger:
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protocols:
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grpc:
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thrift_http:
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hostmetrics:
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collection_interval: 30s
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scrapers:
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cpu:
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load:
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memory:
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disk:
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filesystem:
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network:
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processors:
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batch:
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send_batch_size: 1000
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timeout: 10s
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o11yspanmetrics/prometheus:
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metrics_exporter: prometheus
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latency_histogram_buckets: [100us, 1ms, 2ms, 6ms, 10ms, 50ms, 100ms, 250ms, 500ms, 1000ms, 1400ms, 2000ms, 5s, 10s, 20s, 40s, 60s ]
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dimensions_cache_size: 10000
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dimensions:
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- name: service.namespace
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default: default
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- name: deployment.environment
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default: default
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o11yspanmetrics/delta:
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metrics_exporter: o11ydatastoremetrics
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metrics_flush_interval: 60s
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latency_histogram_buckets: [100us, 1ms, 2ms, 6ms, 10ms, 50ms, 100ms, 250ms, 500ms, 1000ms, 1400ms, 2000ms, 5s, 10s, 20s, 40s, 60s ]
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dimensions_cache_size: 100000
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aggregation_temporality: AGGREGATION_TEMPORALITY_DELTA
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enable_exp_histogram: true
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skip_spans_older_than: 24h
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dimensions:
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- name: service.namespace
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default: default
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- name: deployment.environment
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default: default
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# This is added to ensure the uniqueness of the timeseries
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# Otherwise, identical timeseries produced by multiple replicas of
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# collectors result in incorrect APM metrics
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- name: o11y.collector.id
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- name: service.version
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- name: browser.platform
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- name: browser.mobile
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- name: k8s.cluster.name
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- name: k8s.node.name
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- name: k8s.namespace.name
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- name: host.name
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- name: host.type
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- name: container.name
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- name: special.random.attribute
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- name: generated.by
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# memory_limiter:
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# # 80% of maximum memory up to 2G
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# limit_mib: 1500
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# # 25% of limit up to 2G
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# spike_limit_mib: 512
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# check_interval: 5s
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#
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# # 50% of the maximum memory
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# limit_percentage: 50
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# # 20% of max memory usage spike expected
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# spike_limit_percentage: 20
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# queued_retry:
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# num_workers: 4
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# queue_size: 100
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# retry_on_failure: true
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extensions:
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zpages: {}
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exporters:
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datastoretraces:
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datasource: tcp://localhost:9000/o11y_traces
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retry_on_failure:
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enabled: true
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initial_interval: 5s
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max_interval: 30s
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max_elapsed_time: 300s
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sending_queue:
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enabled: true
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queue_size: 100
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num_consumers: 5
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o11ydatastoremetrics:
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sending_queue:
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enabled: false
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dsn: tcp://localhost:9000/o11y_metrics
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datastorelogsexporter:
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dsn: tcp://localhost:9000/o11y_logs
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timeout: 10s
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sending_queue:
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enabled: false
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use_new_schema: true
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prometheus:
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endpoint: "0.0.0.0:8889"
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service:
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extensions: [zpages]
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pipelines:
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traces:
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receivers: [jaeger, otlp]
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processors: [o11yspanmetrics/delta, batch]
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exporters: [datastoretraces]
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metrics:
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receivers: [otlp, hostmetrics]
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processors: [batch]
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exporters: [o11ydatastoremetrics]
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logs:
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receivers: [otlp]
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processors: [batch]
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exporters: [datastorelogsexporter]
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metrics/spanmetrics:
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receivers: [otlp/spanmetrics]
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exporters: [prometheus] |