What is included in ELK Stack Log Analysis Samples?

This page includes curated sample entries, related tools, and neighboring sample collections for ELK Stack Log Analysis Samples.

Elysia Tools

Navigation

DevOps

ELK Stack Log Analysis Samples

Comprehensive ELK Stack (Elasticsearch, Logstash, Kibana) samples for log aggregation, processing, and visualization in distributed systems

Samples

Entries inside this sample collection

TextComplex

Elasticsearch Index Mapping Configuration

Advanced index mapping with custom analyzers, field types, and optimization for log data

Difficulty

6/10

Estimated time

15 min

Tags

elasticsearch, index, mapping, schema, analyzers, optimization

plaintext

{
  "mappings": {
    "properties": {
      "@timestamp": { "type": "date" },
      "level": {
        "type": "keyword",
        "fields": {
          "text": { "type": "text" }
        }
      },
      "message": {
        "type": "text",
        "analyzer": "standard",
        "fields": {
          "keyword": { "type": "keyword" }
        }
      },
      "service": { "type": "keyword" },
      "trace_id": { "type": "keyword" },
      "span_id": { "type": "keyword" },
      "user_id": { "type": "keyword" },
      "request_id": { "type": "keyword" },
      "response_time": { "type": "float" },
      "status_code": { "type": "integer" },
      "error": {
        "type": "object",
        "properties": {
          "type": { "type": "keyword" },
          "message": { "type": "text" },
          "stack_trace": { "type": "text" }
        }
      },
      "tags": { "type": "keyword" },
      "host": {
        "properties": {
          "name": { "type": "keyword" },
          "ip": { "type": "ip" },
          "os": { "type": "keyword" }
        }
      },
      "geoip": {
        "properties": {
          "location": { "type": "geo_point" },
          "country_name": { "type": "keyword" },
          "city_name": { "type": "keyword" }
        }
      }
    }
  },
  "settings": {
    "analysis": {
      "analyzer": {
        "log_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": ["lowercase", "stop"]
        }
      }
    },
    "number_of_shards": 3,
    "number_of_replicas": 1
  }
}

format: JSON
version: 8.x
components: ["mapping","analyzer","field-types"]
complexity: advanced

TextComplex

Logstash Data Processing Pipeline

Complete Logstash pipeline configuration for parsing, filtering, and enriching log data from multiple sources

Difficulty

8/10

Estimated time

25 min

Tags

logstash, pipeline, grok, filter, parse, enrich, transform

plaintext

input {
  beats {
    port => 5044
  }
  tcp {
    port => 5000
    codec => json_lines
  }
  file {
    path => "/var/log/*.log"
    start_position => "beginning"
  }
}

filter {
  # Parse JSON logs
  if [message] =~ /^{.*}$/ {
    json {
      source => "message"
      target => "parsed"
    }
  }

  # Parse timestamp
  date {
    # Parse the timestamp extracted by grok and normalize it into @timestamp
    match => [ "timestamp", "ISO8601", "yyyy-MM-dd HH:mm:ss.SSS" ]
    target => "@timestamp"
  }

  # Add GeoIP information
  if [client_ip] {
    geoip {
      source => "client_ip"
      target => "geoip"
    }
  }

  # Parse user agent
  if [user_agent] {
    useragent {
      source => "user_agent"
      target => "ua"
    }
  }

  # Extract fields from log messages
  grok {
    match => {
      "message" => "%{TIMESTAMP_ISO8601:timestamp} %{LOGLEVEL:level} \[%{DATA:thread}\] %{DATA:logger} - %{GREEDYDATA:log_message}"
    }
    tag_on_failure => ["_grokparsefailure"]
  }

  # Mutate and clean up fields
  mutate {
    add_field => { "service_name" => "%{[fields][service]}" }
    add_field => { "environment" => "%{[fields][environment]}" }
    remove_field => [ "host", "agent", "ecs", "input" ]
    convert => {
      "response_time" => "float"
      "status_code" => "integer"
    }
  }

  # Add fingerprint for deduplication
  fingerprint {
    source => ["message", "@timestamp", "service_name"]
    target => "fingerprint"
  }

  # Conditional routing based on log level
  if [level] == "ERROR" or [level] == "FATAL" {
    mutate {
      add_tag => ["error", "alert"]
    }
  }
}

output {
  elasticsearch {
    hosts => ["http://elasticsearch:9200"]
    index => "logs-%{+YYYY.MM.dd}"
    template_name => "logs"
    template_pattern => "logs-*"
    template => "/usr/share/logstash/templates/logs-template.json"
  }

  # Send critical errors to separate index
  if "alert" in [tags] {
    elasticsearch {
      hosts => ["http://elasticsearch:9200"]
      index => "alerts-%{+YYYY.MM.dd}"
    }
  }

  # Debug output to console
  if [@metadata][debug] {
    stdout {
      codec => rubydebug
    }
  }
}

format: CONF
version: 8.x
components: ["input","filter","output"]
features: ["grok-patterns","date-parsing","geoip","mutate"]

TextComplex

Kibana Visualization Dashboard

Comprehensive Kibana dashboard with multiple visualizations for log analysis and monitoring metrics

Difficulty

5/10

Estimated time

20 min

Tags

kibana, dashboard, visualization, charts, metrics, monitoring

plaintext

{
  "dashboard": {
    "title": "System Log Analysis Dashboard",
    "panelsJSON": "[{"gridData":{"x":0,"y":0,"w":24,"h":15,"i":"1"},"panelIndex":"1","embeddableConfig":{},"panelRefName":"panel_1"},{"gridData":{"x":24,"y":0,"w":24,"h":15,"i":"2"},"panelIndex":"2","embeddableConfig":{},"panelRefName":"panel_2"},{"gridData":{"x":0,"y":15,"w":48,"h":15,"i":"3"},"panelIndex":"3","embeddableConfig":{},"panelRefName":"panel_3"}]",
    "timeRestore": false,
    "timeTo": "now",
    "timeFrom": "now-24h",
    "refreshInterval": {
      "pause": false,
      "value": 30000
    },
    "kibanaSavedObjectMeta": {
      "searchSourceJSON": "{"query":{"match_all":{}},"filter":[]}"
    },
    "description": "Comprehensive dashboard for monitoring system logs, errors, and performance metrics",
    "version": "8.0.0"
  },
  "timeField": "@timestamp",
  "panels": [
    {
      "id": "1",
      "type": "metric",
      "title": "Total Log Events",
      "visState": "{ "type": "metric", "aggs": [{ "id": "1", "type": "count", "schema": "metric", "params": {} }] }",
      "description": "Total number of log events in the selected time range"
    },
    {
      "id": "2",
      "type": "histogram",
      "title": "Log Levels Distribution",
      "visState": "{ "type": "histogram", "aggs": [{ "id": "1", "type": "count", "schema": "metric", "params": {} }, { "id": "2", "type": "terms", "schema": "segment", "params": { "field": "level", "size": 10 } }] }",
      "description": "Distribution of log levels across all services"
    },
    {
      "id": "3",
      "type": "line",
      "title": "Logs Timeline",
      "visState": "{ "type": "line", "aggs": [{ "id": "1", "type": "count", "schema": "metric", "params": {} }, { "id": "2", "type": "date_histogram", "schema": "segment", "params": { "field": "@timestamp", "interval": "1h" } }] }",
      "description": "Timeline of log events over time"
    }
  ]
}

format: JSON
version: 8.x
components: ["dashboard","visualization","saved-objects"]
visualizations: ["bar-chart","line-chart","pie-chart","data-table","heatmap"]

TextSimple

Application Log Aggregation Format

Structured JSON log format for application logs with correlation IDs and metadata for distributed tracing

Difficulty

2/10

Estimated time

5 min

Tags

log-format, json, structured-logging, correlation-id, metadata

plaintext

{
  "@timestamp": "2025-12-07T10:30:45.123Z",
  "level": "INFO",
  "message": "User authentication successful",
  "service": "auth-service",
  "version": "2.1.3",
  "trace_id": "550e8400-e29b-41d4-a716-446655440000",
  "span_id": "550e8400-e29b-41d4-a716-446655440001",
  "parent_span_id": "550e8400-e29b-41d4-a716-446655440000",
  "user_id": "user_12345",
  "request_id": "req_67890",
  "session_id": "sess_abcde",
  "correlation_id": "corr_fghij",

  "context": {
    "host": "auth-server-01",
    "pod": "auth-service-7f8d9c2b-k4l5m",
    "namespace": "production",
    "environment": "prod",
    "region": "us-west-2"
  },

  "request": {
    "method": "POST",
    "path": "/api/v1/auth/login",
    "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
    "client_ip": "192.168.1.100",
    "response_time": 145.67,
    "status_code": 200
  },

  "user": {
    "id": "user_12345",
    "email": "[email protected]",
    "roles": ["user", "premium"],
    "tenant": "company_xyz"
  },

  "security": {
    "auth_method": "jwt",
    "mfa_enabled": true,
    "login_attempts": 2,
    "risk_score": "low"
  },

  "performance": {
    "cpu_usage": 12.5,
    "memory_usage": 67.8,
    "disk_io": 2.1,
    "network_io": 15.3
  },

  "tags": ["authentication", "successful", "mfa"],
  "metadata": {
    "source": "application",
    "format_version": "1.0",
    "encoding": "utf-8"
  }
}

format: JSON
standard: Structured Logging
fields: ["timestamp","level","message","service","trace-id","span-id","metadata"]

TextComplex

Advanced Elasticsearch Query Examples

Complex Elasticsearch queries including aggregations, filters, and full-text search for log analysis

Difficulty

7/10

Estimated time

30 min

Tags

elasticsearch, query, aggregation, filter, search, dsl

plaintext

{
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "@timestamp": {
              "gte": "now-24h",
              "lte": "now"
            }
          }
        },
        {
          "bool": {
            "should": [
              {
                "term": {
                  "level": "ERROR"
                }
              },
              {
                "term": {
                  "level": "FATAL"
                }
              }
            }
          }
        }
      ],
      "filter": [
        {
          "terms": {
            "service": ["auth-service", "api-gateway", "user-service"]
          }
        }
      ]
    }
  },
  "aggs": {
    "services": {
      "terms": {
        "field": "service",
        "size": 10
      },
      "aggs": {
        "error_types": {
          "terms": {
            "field": "error.type",
            "size": 5
          }
        },
        "hourly_distribution": {
          "date_histogram": {
            "field": "@timestamp",
            "calendar_interval": "1h"
          }
        },
        "avg_response_time": {
          "avg": {
            "field": "response_time"
          }
        }
      }
    },
    "geoip_distribution": {
      "terms": {
        "field": "geoip.country_name",
        "size": 20
      }
    },
    "user_analysis": {
      "cardinality": {
        "field": "user_id"
      }
    },
    "response_time_stats": {
      "stats": {
        "field": "response_time"
      }
    },
    "error_timeline": {
      "date_histogram": {
        "field": "@timestamp",
        "calendar_interval": "10m"
      },
      "aggs": {
        "top_error_messages": {
          "top_hits": {
            "size": 3,
            "sort": [
              {
                "@timestamp": {
                  "order": "desc"
                }
              }
            ],
            "_source": ["message", "error.message", "service"]
          }
        }
      }
    }
  },
  "sort": [
    {
      "@timestamp": {
        "order": "desc"
      }
    }
  ],
  "size": 100,
  "highlight": {
    "fields": {
      "message": {},
      "error.message": {}
    }
  }
}

format: JSON
queryType: DSL
features: ["term-queries","range-queries","aggregations","bool-queries","nested-queries"]

Tools

ELK Stack Log Analysis Samples

Entries inside this sample collection

Elasticsearch Index Mapping Configuration

Logstash Data Processing Pipeline

Kibana Visualization Dashboard

Application Log Aggregation Format

Advanced Elasticsearch Query Examples

Tools frequently paired with this sample

Related sample collections

Sample-focused context for search and workflow understanding

Overview

When to use

How it works

Use cases

FAQ

Data URI Generator

AAC to OGG Converter

Audio Ringtone Maker

Audio Silence Map

Batch WAV Audio Converter

FLAC to OGG Converter

M4A to OGG Converter

OGG to AAC Converter

Datadog Monitoring Samples

Sentry Error Tracking Samples

Express.js Samples

WebRTC Real-Time Communication Samples

Windows Error Handling - C# Samples

Copyright-Free OGG Vorbis Audio Samples