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Using the AECID tools with docker compose
A very easy and comfortable way to start aminer-akafka and logdata-anomaly-miner is using docker-compose. First download the logdata-anomaly-miner repository from github:
$ git clone https://github.com/ait-aecid/logdata-anomaly-miner
$ cd logdata-anomaly-miner
Now configure the kafka-bootstrap-server and topics in docker-compose.yml:
version: "3"
services:
akafka:
image: aitaecid/akafka:latest
environment:
KAFKA_TOPICS: '["aminer"]'
KAFKA_BOOTSTRAP_SERVERS: localhost:9092
volumes:
- '$PWD/akafka:/var/lib/akafka'
aminer:
build:
context: .
volumes:
- '$PWD/akafka:/var/lib/akafka'
- '$PWD/aminercfg:/etc/aminer'
- '$PWD/persistency:/var/lib/aminer'
- '$PWD/logs:/logs'
depends_on:
- akafka
Before running docker-compose it is necessary to bootstrap the initial configuration. This can be done by executing the preparation-script as follows:
$ scripts/prep-docker-compose.sh
The initial logdata-anomaly-miner configuration can parse apache access.logs and is located at aminercfg/config.yml. In order to see the aminer-output it is recommended to define the output_file_path on the Eventhandler in aminer/config.yml as follows:
EventHandlers:
- id: "stpe"
json: true # optional default: false
type: "StreamPrinterEventHandler"
output_file_path: "/var/lib/aminer/log/aminer.out"
To start the kafka-importer and logdata-anomaly-miner the following command can be used:
$ docker-compose up -d
The following command can be used to monitor of the output of logdata-anomaly-miner:
$ tail -f persistency/log/aminer.out
"LogLinesCount": 1
},
"AnalysisComponent": {
"AnalysisComponentIdentifier": null,
"AnalysisComponentType": "VerboseUnparsedAtomHandler",
"AnalysisComponentName": null,
"Message": "Unparsed atom received",
"PersistenceFileName": null
}
}
For further information about configuring the logdata-anomaly-miner please read https://github.com/ait-aecid/logdata-anomaly-miner/wiki/Getting-started-(tutorial) and https://github.com/ait-aecid/logdata-anomaly-miner/wiki/Deployment-with-Docker