Simple alerting application. It was inspired by elastalert and Jenkins pipelines. The goal is to provide users with more sophisticated rule system.

• Zero-dependency. No additional database required.
• Infrastructure-as-code friendly. Manage your rules as regular files
• Infinite flexibility in rule configuration
• Built-in web UI playground

Currently, l3rt supports the following sources as an input:

• ElasticSearch
• AWS ElasticSearch

Supported outputs:

• Email
• Hipchat
• Slack
• Jira
• Missing yours? Add a feature request or submit a pull request

Supported rules:

• ElasticSearch: queryString rule - returns messages matched by a query string
• ElasticSearch: query rule - free-form rule that is fully managed by ElasticSearch's search query
• ElasticSearch: count rule - returns number of events occurred for the given period of time (or multiple periods)
• Missing yours? Add a feature request or submit a pull request

You can use a web UI to create and debug your rules. Just start L3rt and go to http://localhost:8080/

Create a config file where you need to specify common configuration for all your rules:

{
  "sources": [
    {"url": "elasticSearch:http://localhost:9200"}
  ],
  "targetSettings": {
    "mailServer": {
      "host": "smtp.gmail.com",
      "port": "465",
      "auth":  true,
      "username": "myemail@test.com",
      "password": "password"
    }
  }
}

You can find more info about config here.

Create your rule. All rules are groovy based DSLs, so you can use all power of groovy in your rules.

/opt/l3rt/rules/exampleRule.groovy

rule {
    ruleName = "myTestRule"
    params = [
            index: "logstash-*",
            queryString: "message:Error"
    ]

    reaction { messages ->
        messages.each {
            if (it.data.message.contains("Critical")) {
                email("manager@mycompany.com", "Error", it.data.message.toString())
                hipchat("Room with logs", it.data.message.toString(), "RED", true)
            } else {
                hipchat("Room with logs", it.data.message.toString(), "YELLOW", true)
            }
        }
    }
}

You need:

• Java >=8
• Node ~v8.*.*
• Npm

1. Launch lert.Application as a plain java application with optional parameters:

• -Dlogback.configurationFile=logback-dev.xml - dev logger config
• -Dconfig.file=~/l3rt/conf.json - specifies the config location
• -Drules=~/l3rt/rules/ - specifies a folder with rules if this parameter hasn't been defined in the config

2. Launch client side

• cd ./client
• npm install
• npm run dev
• Go to http://localhost:8888

1. Build ./gradlew application:jar

2. Run java -Dconfig.file=/l3rt/config/config.json -Drules=/l3rt/rules/ -jar ./application/build/libs/l3rt-1.6.0.jar

NOTE: l3rt requires >= Java 8 and Docker

Create your config file ~/conf.json on your local machine. Then start it as follows:

docker run -it -v ~/conf.json:/l3rt/config/config.json -p 8080:8080 dimafeng/l3rt:1.6.0

Optionally you can specify location of your rules -v ~/rules:/l3rt/rules.

Go to http://localhost:8080 and play with L3rt!

• 1.6.0 - Release Notes
• 0.1.5 - First public version

This project is in heavy development stage so all contributions are appreciated.

• grsterin