Gecko [ fernandoquevedodop.com ]

Name	Size	Permission
docs_example.yaml	1.48 KB	-rw-r--r--
environment_variables.yaml	1.16 KB	-rw-r--r--
es_s3_hybrid.yaml	1.27 KB	-rw-r--r--
file_to_cloudwatch_metrics.yam...	1.07 KB	-rw-r--r--
file_to_prometheus.yaml	1.29 KB	-rw-r--r--
prometheus_to_console.yaml	461 B	-rw-r--r--
stdio.yaml	354 B	-rw-r--r--
wrapped_json.yaml	1.17 KB	-rw-r--r--

Code Editor : docs_example.yaml

# Set global options
"data_dir": "/var/lib/vector"

# Ingest data by tailing one or more files
"sources":
  "apache_logs":
    "type": "file"
    "include": [ "/var/log/apache2/*.log" ]    # supports globbing
    "ignore_older": 86400                    # 1 day

# Structure and parse the data
"transforms":
  "apache_parser":
    "inputs": [ "apache_logs" ]
    "type": "remap"
    "drop_on_error": false
    "source": '''
. = parse_apache_log!(.message)
'''

"apache_sample":
    "inputs": [ "apache_parser" ]
    "type": "sample"
    "rate": 2                            # only keep 50% (1/`rate`)

# Send structured data to a short-term storage
"sinks":
  "es_cluster":
    "inputs": [ "apache_sample" ]            # only take sampled data
    "type": "elasticsearch"
    "endpoint": "http://79.12.221.222:9200"   # local or external host
    "bulk":
      "index": "vector-%Y-%m-%d"             # daily indices

# Send structured data to a cost-effective long-term storage
  "s3_archives":
    "inputs": [ "apache_parser" ]           # don't sample for S3
    "type": "aws_s3"
    "region": "us-east-1"
    "bucket": "my-log-archives"
    "key_prefix": "date=%Y-%m-%d"         # daily partitions, hive friendly format
    "compression": "gzip"                 # compress final objects
    "framing":
      "method": "newline_delimited"       # new line delimited...
    "encoding":
      "codec": "json"                     # ...JSON
    "batch":
      "max_bytes": 10000000               # 10mb uncompressed

${this.title}

Code Editor : docs_example.yaml