Edge Delta Data Item Examples

Examples of data items handled by nodes and transported by links.

This page shows examples of data items in Edge Delta. For accurate interpretation and pipeline design you should examine your actual data using node tests and the debug node.

Example Kubernetes Source

The following example is a log for a Kubernetes source after passing the source node and in this example an enrichment node to add attributes.

{
  "timestamp": "1581452773000000789",
  "severity_text": "Error",
  "body": "{\"user\": \"userA\",\"operation\": \"delete\",\"outcome\": \"failed\"}",
  "resource": {
    "host.name": "host-1",
    "ed.tag": "test-config",
    "ed.org.id": "0481a213-....",
    "config_id": "12345678-abcd-...",
    "__src_name": "source_name",
    "src_type": "K8s",
    "__logical_source": "logical_source",
    "__short_src_name": "short_source_name",
    "__group_name": "group_name",
    "k8s.namespace.name": "edgedelta",
    "k8s.pod.name": "api-deployment-d79fab72249c",
    "k8s.container.name": "echo:latest",
  },
  "_type": "log",
  "attributes": {
    "pod_id":"api-deployment-d79fab72249c-vtq9x", // user enrichment
    "instance_id":"i-1234567890abcdef0",  // user enrichment
    "instance_name":"test-name",  // user enrichment
    "user": "userA",
    "operation": "delete",
    "outcome": "failed",
    "k8s_labels": {
      "app":"my-api"
    },
    "k8s_annotations": {
      "service": "edgedelta",
    },
  },  
} 

Example Docker Source

The following example illustrates the OTEL schema for a Docker source.

{
  "timestamp": "1581452773000000789",
  "severity_text": "Error",
  "body": "{\"user\": \"userA\",\"operation\": \"delete\",\"outcome\": \"failed\"}",
  "resource": {
    "host.name": "host-1",
    "ed.tag": "test-config",
    "ed.org.id": "0481a213-....",
    "config_id": "12345678-abcd-...",
    "__src_name": "source_name",
    "src_type": "K8s",
    "__logical_source": "logical_source",
    "__short_src_name": "short_source_name",
    "__group_name": "group_name",
    "container.name": "container_name",
    "container.image.name": "container_image_name",
  },
  "attributes": {
    "instance_id":"i-1234567890abcdef0",  // user enrichment
    "instance_name":"test-name",  // user enrichment
    "user": "userA",
    "operation": "delete",
    "outcome": "failed",
  },  
}

Example File Source

The following example illustrates the OTEL schema for a File input.

{
  "timestamp": "1581452773000000789",
  "severity_text": "Error",
  "body": "{\"user\": \"userA\",\"operation\": \"delete\",\"outcome\": \"failed\"}",
  "resource": {
    "host.name": "host-1",
    "ed.tag": "test-config",
    "ed.org.id": "0481a213-....",
    "config_id": "12345678-abcd-...",
    "__src_name": "source_name",
    "src_type": "K8s",
    "__logical_source": "logical_source",
    "__short_src_name": "short_source_name",
    "__group_name": "group_name",
    "ed.filepath": "filepath"
  },
  "attributes": {
    "instance_id":"i-1234567890abcdef0",  // user enrichment
    "instance_name":"test-name",  // user enrichment
    "user": "userA",
    "operation": "delete",
    "outcome": "failed",
  },  
}

Example Cluster Pattern and Sample

The following example illustrates the cluster pattern item.

{
  "_additional_samples": [
    "0": "2024-08-05 01:35:58 - frauddetectionservice - Consumed record with orderId: 108eed2b-52cb-11ef-b57c-fa18d89da6c7, and updated total count to: 19 trace_id=66a461d0ce3d568544f08515caa26fdb span_id=487a3b23459fcd1a trace_flags=01 "
    "1": "2024-08-05 01:36:13 - frauddetectionservice - Consumed record with orderId: 19a4ff10-52cb-11ef-b57c-fa18d89da6c7, and updated total count to: 20 trace_id=b2598c0f08d6299a8c99ba8aaa3e2bc9 span_id=f3108b89dc2e881c trace_flags=01 "
    "length": 2
  ]
  "_pattern": "* frauddetectionservice Consumed record with orderId * and updated total count to *"
  "_pattern_count": 3
  "_sample": "2024-08-05 01:35:44 - frauddetectionservice - Consumed record with orderId: 08245d06-52cb-11ef-b57c-fa18d89da6c7, and updated total count to: 18 trace_id=70d4f6dd654bb97bd2242c72939303eb span_id=24275a437206107e trace_flags=01 "
  "_sentiment_score": 0
  "_type": "cluster_pattern_and_sample"
  "resource": {    }
  "start_timestamp": 1722821751522
  "timestamp": 1722821781522
}

Example Metric Count Item

The following example illustrates the OTEL schema for a metric count item.

{
  "timestamp": "1581452773000000789",
  "resource": {
    "host.name": "host-1",
    "ed.tag": "test-config",
    "ed.org.id": "0481a213-....",
    "config_id": "12345678-abcd-...",
    "__src_name": "source_name",
    "src_type": "K8s",
    "__logical_source": "logical_source",
    "__short_src_name": "short_source_name",
    "__group_name": "group_name",
    "k8s.namespace.name": "edgedelta",
    "k8s.pod.name": "api-deployment-d79fab72249c",
    "k8s.labels.app": "my-api",
  },
  "_type": "metric",
  "attributes": {
    "pod_id":"api-deployment-d79fab72249c-vtq9x", // user enrichment
    "instance_id":"i-1234567890abcdef0",  // user enrichment
    "instance_name":"test-name",  // user enrichment
    "k8s.pod.labels": {
      "app":"my-api"
    },
    "k8s.pod.annotation": {
      "service": "edgedelta",
    },
  },
  "_stat_type": "count",
  "name": "error.count",
  "kind": "sum",
  "sum": {
    "is_monotonic": false,
    "value": 10
  }
}

Example Metric Sum Item

The following example illustrates the OTEL schema for a metric sum item.

{
  "timestamp": "1581452773000000789",
  "resource": {
    "host.name": "host-1",
    "ed.tag": "test-config",
    "ed.org.id": "0481a213-....",
    "config_id": "12345678-abcd-...",
    "__src_name": "source_name",
    "src_type": "K8s",
    "__logical_source": "logical_source",
    "__short_src_name": "short_source_name",
    "__group_name": "group_name",
    "k8s.namespace.name": "edgedelta",
    "k8s.pod.name": "api-deployment-d79fab72249c",
    "k8s.container.name": "echo:latest",
    "k8s.labels.app": "my-api",
  },
  "_type": "metric",
  "attributes": {
    "pod_id":"api-deployment-d79fab72249c-vtq9x", // user enrichment
    "instance_id":"i-1234567890abcdef0",  // user enrichment
    "instance_name":"test-name",  // user enrichment
    "k8s.pod.labels": {
      "app":"my-api"
    },
    "k8s.pod.annotation": {
      "service": "edgedelta",
    },
  },  
  "_stat_type": "sum",
  "name": "request_count.sum",
  "kind": "sum",
  "sum": {
    "is_monotonic": true,
    "value": 10000
  }
}

Example Generic Metric Item

The following example illustrates the OTEL schema for a metric item other than count and sum.

{
  "timestamp": "1581452773000000789",
  "resource": {
    "host.name": "host-1",
    "ed.tag": "test-config",
    "ed.org.id": "0481a213-....",
    "config_id": "12345678-abcd-...",
    "__src_name": "source_name",
    "src_type": "K8s",
    "__logical_source": "logical_source",
    "__short_src_name": "short_source_name",
    "__group_name": "group_name",
    "k8s.namespace.name": "edgedelta",
    "k8s.pod.name": "api-deployment-d79fab72249c",
    "k8s.container.name": "echo:latest",
    "k8s.labels.app": "my-api",
  },
  "_type": "metric",
  "attributes": {
    "pod_id":"api-deployment-d79fab72249c-vtq9x", // user enrichment
    "instance_id":"i-1234567890abcdef0",  // user enrichment
    "instance_name":"test-name",  // user enrichment
    "k8s.pod.labels": {
      "app":"my-api"
    },
    "k8s.pod.annotation": {
      "service": "edgedelta",
    },
  },  
  "_stat_type": "anomaly1",
  "name": "error.anomaly1",
  "kind": "gauge",
  "gauge": {
    "value": 99
  }
}

Example Event Item

The following example is an event item:

{
  "_type": "log"
  "attributes": {
    "event.count": "1"
    "event.firstTimestamp": "2024-07-31T11:39:38Z"
    "event.lastTimestamp": "2024-07-31T11:39:38Z"
    "event.metadata.creationTimestamp": "2024-07-31T11:39:38Z"
    "event.metadata.namespace": "demo"
    "event.metadata.resourceVersion": "1903"
    "event.metadata.uid": "6d2ba31c-2962-49b2-b058-a37424f2c5d7"
    "event.reason": "Pulled"
    "event.source.component": "kubelet"
    "event.source.host": "parallelcluster-worker2"
    "event.type": "Normal"
    "item.type": "event"
  }
  "body": "Successfully pulled image "ghcr.io/demo/demo:1.11.1-kafka" in 1m6.221188531s (1m27.422871666s including waiting)"
  "resource": {
    "container.id": ""
    "container.image.name": "ghcr.io/demo/demo:1.11.1-kafka"
    "ed.conf.id": "123456789987654321"
    "ed.filepath": ""
    "ed.org.id": "987654321123456789"
    "ed.tag": "parallelimage"
    "event.domain": "K8s"
    "event.name": "[Normal] Successfully pulled image "ghcr.io/demo/demo:1.11.1-kafka" in 1m6.221188531s (1m27.422871666s including waiting)"
    "host.ip": "172.18.0.2"
    "host.name": "parallelcluster-worker2"
    "k8s.container.name": "kafka"
    "k8s.deployment.name": "demo-kafka"
    "k8s.namespace.name": "demo"
    "k8s.node.name": "parallelcluster-worker2"
    "k8s.pod.name": "demo-kafka-6d5d7474db-pb8df"
    "k8s.pod.uid": "d1159af9-493f-4d7c-a675-5c5b1f86ac30"
    "k8s.replicaset.name": "demo-kafka-6d5d7474db"
    "service.name": ""
    "src_type": "K8s"
  }
  "severity_text": "info"
  "timestamp": 1722425978000
}

Example Signal

The following example is a signal item:

[
	{
		"_type": "signal",
		"resource": {
			"ed.conf.id": "12345678-1x234-4abc-def5-12345678910g",
			"ed.org.id": "1098765a-432b-1cde-2345-fg6789hij101",
			"ed.tag": "parallel_container",
			"host.ip": "10.0.0.1",
			"host.name": "ED_TEST",
			"src_type": "memory_input"
		},
		"signal": {
			"description": "delivery_time_by_platform_delivery_time.avg hit threshold threshold_test-threshold-checker of filter: item.name == \"delivery_time_by_platform_delivery_time.avg\" and condition: value > 40 with value 40.67",
			"name": "delivery_time_by_platform_delivery_time.avg",
			"signal_id": "850666",
			"threshold_condition": "value > 40",
			"threshold_filter": "item.name == \"delivery_time_by_platform_delivery_time.avg\"",
			"title": "Threshold threshold_test-threshold-checker triggered",
			"value": 40.666666666666664
		},
		"timestamp": 1715683146563
	}
]

Example Health Item

{
  "_health": {
    "component": "mask_filter"
    "name": "my-mask-processor"
    "properties": {
      "last_error": "<nil>"
      "mask_test-mask-processor.error.count.one_minute": 0
      "mask_test-mask-processor.hit.count.one_hour": 0
      "mask_test-mask-processor.last_ten_min_err_count.count.ten_minutes": 0
    }
    "running": 
true
    "status": "ok"
    "type": "agentComponentHealth"
  }
  "_type": "health"
  "resource": {
    "ed.conf.id": "12345678987654321"
    "ed.org.id": "98765432123456789"
    "ed.tag": "my-cluster"
    "host.ip": ""
    "host.name": "mycluster-worker"
  }
  "timestamp": 1723431526000
}

Example Trace


{
  "_type": "trace"
  "attributes": {
    "component": "proxy"
    "ed.event.subtype": "HTTP"
    "ed.event.type": "HTTP"
    "ed.span.resource": "router frontend egress"
    "ed.status_code": "200"
    "http.protocol": "HTTP/1.1"
    "http.status_code": "200"
    "otel.scope.name": ""
    "otel.scope.version": ""
    "peer.address": "10.96.72.33:8080"
    "response_flags": "-"
    "upstream_address": "10.96.72.33:8080"
    "upstream_cluster": "frontend"
    "upstream_cluster.name": "frontend"
  }
  "end_time_unix_nano": 1727694533408816000
  "events": 
null
  "links": 
null
  "parent.span.id": "ffd797d422da853a"
  "resource": {
    "ed.conf.id": "123456789"
    "ed.org.id": "987654321"
    "ed.tag": "OTEL"
    "host.ip": "172.18.0.4"
    "host.name": "otel-cluster-worker"
    "k8s.deployment.name": "my-otel-demo-frontendproxy"
    "k8s.namespace.name": "otel"
    "k8s.node.name": "otel-cluster-worker"
    "k8s.pod.ip": "10.244.1.12"
    "k8s.pod.name": "my-otel-demo-frontendproxy-6c4d5f5d4d-lbbtk"
    "k8s.pod.start_time": "2024-09-28T02:28:04Z"
    "k8s.pod.uid": "afac6ac0-9458-493a-a2d5-d8be273d4cfc"
    "server.port": 4326
    "service.instance.id": "afac6ac0-9458-493a-a2d5-d8be273d4cfc"
    "service.name": "frontendproxy"
    "service.namespace": "opentelemetry-demo"
    "service.version": "1.11.1"
    "src_type": "otlp"
  }
  "span.duration": 181499000
  "span.id": "22b53dad5e808ec6"
  "span.kind": "SPAN_KIND_CLIENT"
  "span.name": "router frontend egress"
  "start_time_unix_nano": 1727694533227317000
  "status.code": "STATUS_CODE_OK"
  "status.message": ""
  "timestamp": 1727694533227
  "trace.id": "4c27c6e851cf08878b87907f9edd600e"
  "trace.state": ""
}

Custom Data Item

A custom data item refers to a data item with a schema that does not align with a common structure. These data items may be useful for bespoke applications or configurations, but they may cause validation errors.