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Hey team! :wave: Need some help with SigNoz and Lo...
# support
d
Hey team! 👋 Need some help with SigNoz and Local OTel collector setup. Current situation: • I have a local OTel collector running on the server. • On same server I have set up self-hosted SigNoz with Docker. • Currently getting errors and no data flowing into SigNoz Here's my local OTel collector config:
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extensions:
  health_check: {}

receivers:
  otlp:
    protocols:
      grpc:
        endpoint: 0.0.0.0:4317
      http:
        endpoint: 0.0.0.0:4318
  hostmetrics:
    collection_interval: 60s
    scrapers:
      cpu: {}
      disk: {}
      load: {}
      filesystem: {}
      memory: {}
      network: {}
      process:
        mute_process_name_error: true
        mute_process_exe_error: true
        mute_process_io_error: true

processors:
  batch:
    send_batch_size: 500
    send_batch_max_size: 600
    timeout: 10s
  memory_limiter:
    check_interval: 1s
    limit_percentage: 75
    spike_limit_percentage: 15
  resourcedetection:
    detectors: [env, system]
    timeout: 2s

exporters:
  otlp:
    endpoint: 0.0.0.0:9000
    tls:
      insecure: true
  clickhouse:
    endpoint: <tcp://localhost:9000>
    database: signoz_traces
    username: default
    password: default123
    timeout: 10s

service:
  telemetry:
    metrics:
      address: 0.0.0.0:8888
    logs:
      level: info

  pipelines:
    traces:
      receivers: [otlp]
      processors: [memory_limiter, batch]
      exporters: [otlp, clickhouse]
    metrics:
      receivers: [otlp, hostmetrics]
      processors: [memory_limiter, resourcedetection, batch]
      exporters: [otlp, clickhouse]
    logs:
      receivers: [otlp]
      processors: [memory_limiter, batch]
      exporters: [otlp, clickhouse]
Main questions: 1. What's the correct data flow path? Should it be: Option A: App → Local OTel collector → SigNoz OR Option B: App → Local OTel collector → SigNoz's Docker OTel collector → SigNoz 2. If Option A is correct, what changes do I need in my local OTel collector config to send data directly to SigNoz's ClickHouse? 3. If Option B is recommended, how should I configure the collectors to avoid port conflicts and ensure proper data flow? Current errors I'm seeing:
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Exporting failed. Will retry the request after interval.        {"kind": "exporter", "data_type": "metrics", "name": "otlp", "error": "rpc error: code = Unavailable desc = connection error: desc = \"error reading server preface: http2: frame too large\"", "interval": "3.79851812s"}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: panic: runtime error: invalid memory address or nil pointer dereference
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: [signal SIGSEGV: segmentation violation code=0x1 addr=0x0 pc=0x625b9613ca3c]
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: goroutine 185 [running]:
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: go.opentelemetry.io/collector/pdata/pcommon.Value.Type(...)
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]:         go.opentelemetry.io/collector/pdata@v1.22.0/pcommon/value.go:183
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: go.opentelemetry.io/collector/pdata/pcommon.Value.AsString({0x0?, 0xc002684380?})
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]:         go.opentelemetry.io/collector/pdata@v1.22.0/pcommon/value.go:370 +0x1c
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter/internal.(*sumMetrics).insert.func1(0x0?)
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]:         github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter@v0.116.0/internal/sum_metrics.go:129 +0x365
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter/internal.doWithTx({0x625ba27ea808?, 0xc0006cb8f0?}, 0x0?, 0xc0017baf40)
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]:         github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter@v0.116.0/internal/metrics_model.go:210 +0xcd
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter/internal.(*sumMetrics).insert(0xc0014a3b60, {0x625ba27ea808, 0xc0006cb8f0}, 0xc001655520)
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]:         github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter@v0.116.0/internal/sum_metrics.go:105 +0xc9
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter/internal.InsertMetrics.func1({0x625ba2797e98?, 0xc0014a3b60?}, 0xc002684390)
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]:         github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter@v0.116.0/internal/metrics_model.go:100 +0x43
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]: created by github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter/internal.InsertMetrics in goroutine 193
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419808]:         github.com/open-telemetry/opentelemetry-collector-contrib/exporter/clickhouseexporter@v0.116.0/internal/metrics_model.go:99 +0xcc
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC systemd[1]: otelcol-contrib.service: Main process exited, code=exited, status=2/INVALIDARGUMENT
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC systemd[1]: otelcol-contrib.service: Failed with result 'exit-code'.
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC systemd[1]: otelcol-contrib.service: Scheduled restart job, restart counter is at 2.
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC systemd[1]: Started otelcol-contrib.service - OpenTelemetry Collector.
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.290+0530        info        service@v0.116.0/service.go:164        Setting up own telemetry...
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.290+0530        warn        service@v0.116.0/service.go:213        service::telemetry::metrics::address is being deprecated in favor of service::telemetry::metrics::readers
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.290+0530        info        telemetry/metrics.go:70        Serving metrics        {"address": "0.0.0.0:8888", "metrics level": "Normal"}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.291+0530        info        memorylimiter@v0.116.0/memorylimiter.go:151        Using percentage memory limiter        {"kind": "processor", "name": "memory_limiter", "pipeline": "logs", "total_memory_mib": 31459, "limit_percentage": 75, "spike_limit_percentage": 15}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.291+0530        info        memorylimiter@v0.116.0/memorylimiter.go:75        Memory limiter configured        {"kind": "processor", "name": "memory_limiter", "pipeline": "logs", "limit_mib": 23594, "spike_limit_mib": 4718, "check_interval": 1}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.293+0530        info        service@v0.116.0/service.go:230        Starting otelcol-contrib...        {"Version": "0.116.0", "NumCPU": 16}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.293+0530        info        extensions/extensions.go:39        Starting extensions...
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.295+0530        warn        grpc@v1.68.1/clientconn.go:1384        [core] [Channel #1 SubChannel #2]grpc: addrConn.createTransport failed to connect to {Addr: "0.0.0.0:9000", ServerName: "0.0.0.0:9000", }. Err: connection error: desc = "error reading server preface: http2: frame too large"        {"grpc_log": true}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.309+0530        info        internal/resourcedetection.go:126        began detecting resource information        {"kind": "processor", "name": "resourcedetection", "pipeline": "metrics"}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.310+0530        info        internal/resourcedetection.go:140        detected resource information        {"kind": "processor", "name": "resourcedetection", "pipeline": "metrics", "resource": {"host.name":"abhiyanta-HP-285-Pro-G6-Microtower-PC","os.type":"linux"}}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.310+0530        warn        internal@v0.116.0/warning.go:40        Using the 0.0.0.0 address exposes this server to every network interface, which may facilitate Denial of Service attacks.        {"kind": "receiver", "name": "otlp", "data_type": "traces", "documentation": "<https://github.com/open-telemetry/opentelemetry-collector/blob/main/docs/security-best-practices.md#safeguards-against-denial-of-service-attacks>"}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.310+0530        info        otlpreceiver@v0.116.0/otlp.go:112        Starting GRPC server        {"kind": "receiver", "name": "otlp", "data_type": "traces", "endpoint": "0.0.0.0:4317"}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.310+0530        warn        internal@v0.116.0/warning.go:40        Using the 0.0.0.0 address exposes this server to every network interface, which may facilitate Denial of Service attacks.        {"kind": "receiver", "name": "otlp", "data_type": "traces", "documentation": "<https://github.com/open-telemetry/opentelemetry-collector/blob/main/docs/security-best-practices.md#safeguards-against-denial-of-service-attacks>"}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.310+0530        info        otlpreceiver@v0.116.0/otlp.go:169        Starting HTTP server        {"kind": "receiver", "name": "otlp", "data_type": "traces", "endpoint": "0.0.0.0:4318"}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.316+0530        warn        grpc@v1.68.1/clientconn.go:1384        [core] [Channel #6 SubChannel #7]grpc: addrConn.createTransport failed to connect to {Addr: "0.0.0.0:9000", ServerName: "0.0.0.0:9000", }. Err: connection error: desc = "error reading server preface: http2: frame too large"        {"grpc_log": true}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.317+0530        warn        grpc@v1.68.1/clientconn.go:1384        [core] [Channel #8 SubChannel #10]grpc: addrConn.createTransport failed to connect to {Addr: "0.0.0.0:9000", ServerName: "0.0.0.0:9000", }. Err: connection error: desc = "error reading server preface: http2: frame too large"        {"grpc_log": true}
Jan 04 15:08:02 abhiyanta-HP-285-Pro-G6-Microtower-PC otelcol-contrib[419831]: 2025-01-04T15:08:02.323+0530        info        service@v0.116.0/service.go:253        Everything is ready. Begin running and processing data.
Any guidance on the correct approach would be really helpful! 🙏
j
hey is that your otel collector config for the target machine you want to monitor or the otel receiver for the signoz deployment? I'm using the docker compose deployment on my end and by default it has endpoints for OTLP/OTLPHTTP on different ports from the clickhouse deployment, I see you have your exporters set to the same port so I'm wondering if that is your issue. You should double check the ports used on the signoz deployment and make sure this config reflects that in the exporters
s
@Dhairya Patel There’s no need to use an additional Otel Collector on the same machine as SigNoz. If your application is hosted on the same machine as SigNoz, you can send traces directly to the 
signoz-otel-collector
. However, if the application is hosted on a different machine or VM, you can set up a local OTel Collector on that machine. The application will then send data to its local collector, which can forward the traces in batches to the 
signoz-otel-collector
on the SigNoz machine.
d
@Shubhendra Kushwaha so basically I dont need to run local otel on my machine. Use docker otel collector and get data from there and use it signoz? To us it from different machine I have to also use docker signoz collector and get data right?
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{"level":"info","timestamp":"2025-01-06T05:01:29.973Z","caller":"opamp/server_client.go:171","msg":"Waiting for initial remote config","component":"opamp-server-client"}
{"level":"info","timestamp":"2025-01-06T05:01:30.974Z","caller":"opamp/server_client.go:171","msg":"Waiting for initial remote config","component":"opamp-server-client"}
{"level":"info","timestamp":"2025-01-06T05:01:31.974Z","caller":"opamp/server_client.go:171","msg":"Waiting for initial remote config","component":"opamp-server-client"}
{"level":"info","timestamp":"2025-01-06T05:01:32.975Z","caller":"opamp/server_client.go:171","msg":"Waiting for initial remote config","component":"opamp-server-client"}
{"level":"info","timestamp":"2025-01-06T05:01:33.975Z","caller":"opamp/server_client.go:171","msg":"Waiting for initial remote config","component":"opamp-server-client"}
s
For a quickstart you can send data directly to signoz otel collector on port 4317 or 4318 from anywhere
d
I am getting this logs in docker otel collector
But what if I have to use my otel collector running on server and only run signoz on docker everything on same machine @Shubhendra Kushwaha is that possible?
s
That should be possible, you might have to change the port or listen address , I think
d
But right now with docker otel collecter I am not getting any thing in my signoz. Below is my otel config
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receivers:
  # tcplog/docker:
  #   listen_address: "0.0.0.0:2255"
  #   operators:
  #     - type: regex_parser
  #       regex: '^<([0-9]+)>(?P<timestamp>[A-Z][a-z]{2}\s+\d+\s+\d{2}:\d{2}:\d{2})\s+(?P<container_name>[^\s]+)\s+(?P<container_id>[^\s]+)\s+(?P<body>.*)$'
  #       timestamp:
  #         parse_from: attributes.timestamp
  #         layout_type: strptime
  #         layout: '%b %d %H:%M:%S'
  #     - type: move
  #       from: attributes.body
  #       to: body
  #     - type: remove
  #       field: attributes.timestamp
  #       # please remove names from below if you want to collect logs from them
  #     - type: filter
  #       id: signoz_logs_filter
  #       expr: 'attributes.container_name matches "^signoz-(logspout|frontend|alertmanager|query-service|otel-collector|clickhouse|zookeeper)"'
  # opencensus:
  #   endpoint: 0.0.0.0:55678
  otlp:
    protocols:
      grpc:
        endpoint: 0.0.0.0:4317
      http:
        endpoint: 0.0.0.0:4318
  # jaeger:
  #   protocols:
  #     grpc:
  #       endpoint: 0.0.0.0:14250
  #     thrift_http:
  #       endpoint: 0.0.0.0:14268
      # thrift_compact:
      #   endpoint: 0.0.0.0:6831
      # thrift_binary:
      #   endpoint: 0.0.0.0:6832
  hostmetrics:
    collection_interval: 30s
    root_path: /hostfs
    scrapers:
      cpu: {}
      load: {}
      memory: {}
      disk: {}
      filesystem: {}
      network: {}
  prometheus:
    config:
      global:
        scrape_interval: 60s
      scrape_configs:
        # otel-collector internal metrics
        - job_name: otel-collector
          static_configs:
          - targets:
              - localhost:8888
            labels:
              job_name: otel-collector

processors:
  batch:
    send_batch_size: 10000
    send_batch_max_size: 11000
    timeout: 10s

  resourcedetection:
    # Using OTEL_RESOURCE_ATTRIBUTES envvar, env detector adds custom labels.
    detectors: [env, system] # include ec2 for AWS, gcp for GCP and azure for Azure.
    timeout: 2s
  # signozspanmetrics/delta:
  #   metrics_exporter: clickhousemetricswrite
  #   metrics_flush_interval: 60s
  #   latency_histogram_buckets: [100us, 1ms, 2ms, 6ms, 10ms, 50ms, 100ms, 250ms, 500ms, 1000ms, 1400ms, 2000ms, 5s, 10s, 20s, 40s, 60s ]
  #   dimensions_cache_size: 100000
  #   aggregation_temporality: AGGREGATION_TEMPORALITY_DELTA
  #   enable_exp_histogram: true
  #   dimensions:
  #     - name: service.namespace
  #       default: default
  #     - name: deployment.environment
  #       default: default
  #     # This is added to ensure the uniqueness of the timeseries
  #     # Otherwise, identical timeseries produced by multiple replicas of
  #     # collectors result in incorrect APM metrics
  #     - name: signoz.collector.id
  #     - name: service.version
  #     - name: browser.platform
  #     - name: browser.mobile
  #     - name: k8s.cluster.name
  #     - name: k8s.node.name
  #     - name: k8s.namespace.name
  #     - name: host.name
  #     - name: host.type
  #     - name: container.name

# extensions:
  # health_check:
  #   endpoint: 0.0.0.0:13133
  # zpages:
  #   endpoint: 0.0.0.0:55679
  # pprof:
  #   endpoint: 0.0.0.0:1777

# exporters:
  # clickhousetraces:
  #   datasource: <tcp://default:default123@clickhouse:9000/signoz_traces>
  #   low_cardinal_exception_grouping: ${env:LOW_CARDINAL_EXCEPTION_GROUPING}
  #   use_new_schema: true
  # clickhousemetricswrite:
  #   endpoint: <tcp://default:default123@clickhouse:9000/signoz_metrics>
  #   resource_to_telemetry_conversion:
  #     enabled: true
  # clickhousemetricswrite/prometheus:
  #   endpoint: <tcp://default:default123@clickhouse:9000/signoz_metrics>
  # clickhousemetricswritev2:
  #   dsn: <tcp://default:default123@clickhouse:9000/signoz_metrics>
  # clickhouselogsexporter:
  #   dsn: <tcp://default:default123@clickhouse:9000/signoz_logs>
  #   timeout: 10s
  #   use_new_schema: true
  # logging: {}

exporters:
  otlp:
    # endpoint: "signoz-otel-collector:4317"  # Using Docker service name
    endpoint: "localhost:4317"
    tls:
      insecure: true

service:
  telemetry:
    logs:
      encoding: json
    metrics:
      address: 0.0.0.0:8888

  # extensions:
  #   - health_check
  #   - zpages
  #   - pprof

  pipelines:
    traces:
      receivers: [otlp]
      processors: [batch]
      exporters: [otlp]

    metrics:
      receivers: [otlp]
      processors: [batch]
      exporters: [otlp]

    metrics/hostmetrics:
      receivers: [hostmetrics]
      processors: [resourcedetection, batch]
      exporters: [otlp]
  # pipelines:
    # traces:
    #   receivers: [jaeger, otlp]
    #   processors: [signozspanmetrics/delta, batch]
    #   exporters: [clickhousetraces]
    # metrics:
    #   receivers: [otlp]
    #   processors: [batch]
    #   exporters: [clickhousemetricswrite, clickhousemetricswritev2]
    # metrics/hostmetrics:
    #   receivers: [hostmetrics]
    #   processors: [resourcedetection, batch]
    #   exporters: [clickhousemetricswrite, clickhousemetricswritev2]
    # metrics/prometheus:
    #   receivers: [prometheus]
    #   processors: [batch]
    #   exporters: [clickhousemetricswrite/prometheus, clickhousemetricswritev2]
    # logs:
    #   receivers: [otlp, tcplog/docker]
    #   processors: [batch]
    #   exporters: [clickhouselogsexporter]
s
You have installed signoz using docker compose right? Is hotrod also running ? If yes then it should have sending sample data to signoz
d
Yes I have done using docker compose. I have disabled hotrod
Do we need that to be enabled?
s
no, no it's just for sample. How and which type of data you are sending to signoz? traces , metrics?
d
Yes traces metrics logs
@Shubhendra Kushwaha I am to run everything on docker. Otel collecter is also running on docker. But now issue is that I am not getting any data in that otel. Before when I was running otel on server with otel service I was getting data but when I switched to docker I am not getting it.
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