example_mimicry.yaml

logging: "debug" # panic,fatal,warn,info,debug,trace
metricsAddr: ":9090"
# pprofAddr: ":6060" # optional. if supplied it enables pprof server
# probeAddr: ":8080" # optional. if supplied it enables health probe server

name: example-instance

labels:
  ethpandaops: rocks

# Better to use a NTP server close eg.
#   time.aws.com - AWS
#   time.windows.com - Azure
#   time.google.com - GCP
#   pool.ntp.org - https://www.pool.ntp.org/zone/@
ntpServer: time.google.com

# Delay before capturing transactions from a peer.
# This is the avoid the initial deluge of transactions
# when a peer is first connected to.
captureDelay: 3m

coordinator:
  type: static
  config:
    retryInterval: 60s
    # can be ENR or ENODE format
    nodeRecords:
      - enr:-IS4QHCYrYZbAKWCBRlAy5zzaDZXJBGkcnh4MHcBFZntXNFrdvJjX04jRzjzCBOonrkTfj499SZuOh8R33Ls8RRcy5wBgmlkgnY0gmlwhH8AAAGJc2VjcDI1NmsxoQPKY0yuDUmstAHYpMa2_oxVtw0RW_QAdpzBQA8yWM0xOIN1ZHCCdl8
      - enode://dd47aff4da11c82496fec9253a1d2dac8c4abdbf93ff7458cf7965447355c265907b41dbd8c4b1dded6ae28b5a4d2d6b4d3fdad2950e5b6ef56169958b80b450@127.0.0.1:30301
  # type: xatu
  # config:
  #   address: localhost:8080
  #   tls: false
  #   headers:
  #     authorization: Someb64Value
  #   networkIds: [1]
  #   forkIdHashes: [0xf0afd0e3]
  #   capabilities: [eth/68]
  #   maxPeers: 100

outputs:
- name: http-sink
  type: http
  config:
    address: http://localhost:8080
    headers:
      authorization: Someb64Value
    maxQueueSize: 51200
    batchTimeout: 5s
    exportTimeout: 30s
    maxExportBatchSize: 512
- name: xatu-server
  type: xatu
  config:
    address: localhost:8080
    tls: false
    headers:
      authorization: Someb64Value
    maxQueueSize: 51200
    batchTimeout: 5s
    exportTimeout: 30s
    maxExportBatchSize: 512
- name: kafka-sink
  type: kafka
  config:
    brokers: localhost:19092
    topic: events
    flushFrequency: 1s
    flushMessages: 500
    flushBytes: 1000000
    maxRetries: 6
    compression: snappy
    requiredAcks: leader
    partitioning: random