DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • Building a Cost-Effective ELK Stack for Centralized Logging
  • Host Hack Attempt Detection Using ELK
  • Set Up Spring Data Elasticsearch With Basic Authentication
  • Introduction to Spring Data Elasticsearch 5.5

Trending

  • AWS Kiro: The Agentic IDE That Makes Specs the Unit of Work
  • The 7 Pillars of Meeting Design: Transforming Expensive Conversations into Decision Assets
  • Monitoring Spring Boot Applications with Prometheus and Grafana
  • Working With Cowork: Don’t Be Confused
  1. DZone
  2. Data Engineering
  3. Data
  4. Watching/Alerting on Real-Time Data in Elasticsearch Using Kibana and SentiNL

Watching/Alerting on Real-Time Data in Elasticsearch Using Kibana and SentiNL

We discuss how to watch real-time app events that are persisted in the Elasticsearch index and raise alerts if the condition for the watcher is breached.

By 
Gaurav Rai Mazra user avatar
Gaurav Rai Mazra
·
Updated Oct. 11, 18 · Tutorial
Likes (2)
Comment
Save
Tweet
Share
55.5K Views

Join the DZone community and get the full member experience.

Join For Free

In the previous post, we set up an ELK stack and ran data analytics on application events and logs. In this post, we will discuss how you can watch real-time application events that are being persisted in the Elasticsearch index and raise alerts if the condition for the watcher is breached using SentiNL (a Kibana plugin).

A few examples of alerting for application events (see previous posts) are:

  • The same user logged in from different IP addresses.
  • Different users logged in from the same IP address.
  • PermissionFailures in the last 15 minutes.
  • A particular kind of exception in the last 15 minutes/ hour/ day.

Watching and Alerting on Elasticsearch Index in Kibana

There are many plugins available for watching and alerting on Elasticsearch index in Kibana e.g. X-Pack, SentiNL.

X-Pack is a paid extension provided by elastic.co which provides security, alerting, monitoring, reporting, and graph capabilities.

SentiNL is free extension provided by siren.io which provides alerting and reporting functionality to monitor, notify, and report changes in an Elasticsearch index using standard queries, programmable validators, and configurable actions.

We will be using SentiNL for watching and alerting on Elasticsearch index.

Installing SentiNL

Prerequisite

For debian, we need libfontconfig and libfreetype6 libraries, if not installed already.

sudo apt-get install libfontconfig libfreetype6

For centos, we need fontconfig and freetype libraries, if not installed already.

sudo yum install fontconfig freetype
#Installing SentiNL plugin
/opt/kibana/bin/kibana-plugin --install sentinl -u https://github.com/sirensolutions/sentinl/releases/download/tag-4.6.4-4/sentinl.zip

Configuring SentiNL

SentiNL has a wide range of actions that you can configure for watchers. You can send an email, integrate with Slack channels or push apps, and send a payload to custom webhooks. Open the kibana.yml file and add the below properties for SentiNL. For our example, we will only enable notifications through email.

sentinl:
  es:
    host: 'localhost'
    port: 9200
  settings:
    email:
      active: true
      host: "smtp.gmail.com"
      user: "[EMAIL_ID]"
      password: "[PASSWORD]"
      port: 465
      domain: "gmail.com"
      ssl: true
      tls: false
      authentication: ['PLAIN', 'LOGIN', 'CRAM-MD5', 'XOAUTH2']
      timeout: 20000  # mail server connection timeout
      # cert:
      #   key: '/full/sys/path/to/key/file'
      #   cert: '/full/sys/path/to/cert/file'
      #   ca: '/full/sys/path/to/ca/file'
    slack:
      active: false
      username: 'username'
      hook: 'https://hooks.slack.com/services/' channel: '#channel' webhook: active: false host: 'localhost' port: 9200 # use_https: false # path: ':/{{payload.watcher_id}}' # body: '{{payload.watcher_id}}{payload.hits.total}}' # method: POST report: active: false executable_path: '/usr/bin/chromium' # path to Chrome v59+ or Chromium v59+ timeout: 5000 # authentication: # enabled: true # mode: # searchguard: false # xpack: false # basic: false # custom: true # custom: # username_input_selector: '#username' # password_input_selector: '#password' # login_btn_selector: '#login-btn' # file: # pdf: # format: 'A4' # landscape: true # screenshot: # width: 1280 # height: 900 pushapps: active: false api_key: '' 

That's it! Let's start Kibana to configure watchers and alerting in SentiNL.

Creating Watchers and Alerting in Kibana

We will be configuring watchers for different users logged in from the same IP address and will send e-mail alerts.

  • Open Kibana dashboard on your local machine (the url for Kibana on my local machine is http://localhost:5601).
  • Click on the SentiNL option in the left-hand nav pane. You will see a dashboard as below. Click on the 'New' option to create a new watcher.
  • Click on the Watcher link highlighted as below.
  • Enter the watcher name and schedule in the General tab.
  • Click on the 'Input' tab and enter the below-mentioned JSON query in the body. You can also give a name to the query and save.
    {
      "search": {
        "request": {
          "index": [
            "app-events*"
          ],
          "body": {
            "query": {
              "bool": {
                "filter": [
                  {
                    "range": {
                      "@timestamp": {
                        "gte": "now-30m"
                      }
                    }
                  },
                  {
                    "query_string": {
                      "default_field": "appEvent.eventType",
                      "query": "LOGIN_SUCCESS OR LOGIN_FAILURE"
                    }
                  }
                ]
              }
            },
            "aggs": {
              "group_by_requestIP": {
                "terms": {
                  "field": "appEvent.requestIP.keyword",
                  "size": 5
                },
                "aggs": {
                  "group_by_identifier": {
                    "terms": {
                      "field": "appEvent.identifier.keyword",
                      "size": 5
                    },
                    "aggs": {
                      "get_latest": {
                        "terms": {
                          "field": "@timestamp",
                          "size": 1,
                          "order": {
                            "_key": "desc"
                          }
                        }
                      }
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
  • Click on the 'Condition' tab and enter the below-mentioned JSON conditions in the body. You can also give a name to this condition and save.
    {
      "script": {
        "script": "var requestIPbuckets = payload.aggregations.group_by_requestIP.buckets; payload.collector = []; requestIPbuckets.filter(function(requestIP) { return requestIP.key; }).forEach(function(requestIP) { var requestIPKey = requestIP.key; var users = requestIP.group_by_identifier.buckets; if (users.length > 1) { users.filter(function(user) { return user.key; }).forEach(function(user) { payload.collector.push({ 'ip': requestIPKey, 'identifier': user.key, 'count': user.doc_count  }); }); }}); payload.collector.length > 0;"
      }
    }
  • Click on the 'Action' tab and select email as an action for alerting. Give title, to, from, subject, and add below-mentioned content in the body of the email.
    Found {{payload.collector.length}} Events
    {{#payload.collector}}
    {{#.}}
    ip : {{ip}}, identifier: {{identifier}}, count: {{count}}
    {{/.}}
    {{/payload.collector}}
  • Save the watcher.

This watcher will run periodically based on the schedule that you have set and if the condition for breach is met, will send an email alert. The configured email looks like below.

This is how you can watch real-time changing data in Elasticsearch index and raise alerts based on the configured conditions.

Kibana Elasticsearch Data (computing)

Published at DZone with permission of Gaurav Rai Mazra. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Building a Cost-Effective ELK Stack for Centralized Logging
  • Host Hack Attempt Detection Using ELK
  • Set Up Spring Data Elasticsearch With Basic Authentication
  • Introduction to Spring Data Elasticsearch 5.5

Partner Resources

×

Comments

The likes didn't load as expected. Please refresh the page and try again.

  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook