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Elastic Stack: Elasticsearch & Kibana — The Complete Guide

Name: Elastic Stack: Elasticsearch & Kibana — The Complete Guide
Rating: 4.1 (25 reviews)

Install, secure, ingest & visualize logs using Elasticsearch, Kibana, Logstash, Beats, ILM, monitoring & alerts

Created byEduVerse Academy

Last updated 12/2025

English

English [Auto],

What you'll learn

Install, secure, and configure a complete Elastic Stack (Elasticsearch, Logstash, Kibana, Beats)
Ingest and process data using Logstash, Filebeat, Metricbeat, Packetbeat, and Elastic Agent
Visualize real-time logs and metrics in Kibana using dashboards, Timelion & Lens
Monitor Elasticsearch, Logstash, and Beats with Metricbeat & Filebeat
Implement Index Lifecycle Management (ILM) and rolling upgrades for Elasticsearch clusters
Add nodes, scale clusters, and secure the Elastic Stack with built-in security features
Ingest real devices’ logs: FortiGate, Cisco ASA, SNMP, Syslogs, Bandwidth stats, and more
Build and deploy Elastic Stack using Docker, custom Logstash images & automation

Course content

7 sections • 37 lectures • 10h 22m total length

Master the Elastic Stack: Elastic Stack Overview8:39
Kibana Overview - Visualize and Manage Your Data29:28
Install and Configure a Secure Elastic Stack30:56
Configure Security for the Elastic Stack25:17
Generate a certificate authority and node certificates to secure inter-node transport and http traffic, apply them to all nodes and Kibana, and restart services to enable tls.
Securing the Elasticsearch Cluster33:16
Kibana: Advanced Visualizations Explained11:56
Kibana: DataView and Dashboards10:31
Create Kibana data views for Elasticsearch data, adjust time ranges, and use Discover, then build visualizations and dashboards with filters and sorting for interactive data exploration.

Installing and Configuring Elasticsearch and Kibana 8.x27:20
Installing and Configuring Logstash to Ingest Fortinet Syslogs24:51
Installing and Configuring Filebeat Fortinet Module20:56
Packetbeat Installation and Configuration14:10
Monitor the Elastic Cluster with Filebeat and Metricbeat29:22
Monitor an Elasticsearch cluster by deploying filebeat for logs and metricbeat for metrics across Elasticsearch, Kibana, and Logstash. Visualize data in Kibana dashboards and enable self monitoring for proactive alerts.
Monitor Elasticsearch with Metricbeat19:42
Elasticsearch: Install on Docker | Quick and Easy Installation3:49
Install and run elasticsearch and kibana with docker in minutes, using a preconfigured elk stack for fast, repeatable setup and real time data search, analysis, and visualization.

Ingest Data into the Elastic Stack with Logstash and Filebeat23:45
Ingest Cisco ASA Firewall Syslogs into the Elastic Stack27:12
Learn to ingest Cisco ASA firewall syslogs into Elasticsearch using three methods: logstash, file beat, and the elastic agent, with parsing, pipelines, and dashboards in Kibana.
Setup Filebeat to Monitor Elasticsearch Logs21:32
FortiGate SNMP Monitoring with Logstash20:39
Set up the Logstash SNMP input plugin to pull a Fortigate firewall via SNMP v3, convert Fortinet MIB files to dot dictionary for Elasticsearch, and create Kibana dashboards.
Sending FortiGate Bandwidth Stats to Elasticsearch15:05
The FortiGate needs to be running FortiOS 7.0 and above to be able to use this API.
The script that I used: ================= import requests from tokens import fw_token import json from datetime import date, datetime import socket def get_bw(): url = "https://firewall_ip/api/v2/monitor/system/traffic-history/interface?interface=interface_name&time_period=hour" requests.packages.urllib3.disable_warnings() payload={} headers = {'Authorization': f'Bearer {fw_token}'} response = requests.request("GET", url, headers=headers, data=payload, verify=False).json() return response data = get_bw() #print(data) last_tx = data["results"]["last_tx"] last_rx = data["results"]["last_rx"] ts = datetime.timestamp(datetime.now()) current_bw = {"last_tx": last_tx, "last_rx": last_rx, "time": int(ts)} Convert the data to binary data_to_send = json.dumps(current_bw).encode('utf-8') Create a socket object and use the sendto method to send the data s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.sendto(data_to_send, ('logstash_ip', udp_port))
Enrich Your Data in Elasticsearch14:27
Explore enriching data in Elasticsearch by creating enriching policy, enrich index, and ingest pipeline. Add username and device name to incoming documents from a source index and a match field.
Elasticsearch: Collecting Logs with Filebeat9:55
Explore how to collect and forward log data with file beat, set up ingest pipelines in Elasticsearch, and visualize structured logs in Kibana for real-time monitoring.
Quiz

Setting Up Elasticsearch ILM - Index Lifecycle Management14:49
Explore Elasticsearch index lifecycle management (ILM) and how hot, warm, cold, and frozen data tiers govern automated rollover, aging, and deletion of time-series firewall logs within Kibana.
Using Index Lifecycle Management (ILM) with Logstash19:01
Elasticsearch: Mappings & Bulk Data Upload8:33
Learn to define and use elasticsearch mappings to structure movie data, upload 250 titles via postman, and perform basic searches by title, year, genre, and rating.
Elasticsearch: Complete Search Guide with Query DSL12:25
Elasticsearch: Collecting Metrics with Metricbeat7:00
Collect system and service metrics with metricbeat, send them to Elasticsearch, and view dashboards in Kibana; monitor CPU, memory, disk, and network, including Docker, MySQL, Nginx, Apache, and Redis.
Test Your Knowledge

Adding Nodes to an Elasticsearch Cluster11:35
Rolling Restart of an Elasticsearch Cluster7:10
Discover how to perform a rolling restart of a three-node Elasticsearch cluster by disabling shard allocation, restarting nodes one by one, and restoring green cluster health without downtime.
Enable Kibana Monitoring6:20
Monitor Logstash with Metricbeat12:16
Monitor Logstash with Metricbeat and view events, latency, and pipelines in Kibana, then configure Metricbeat to send data to Elasticsearch over SSL with the Logstash X-Pack module.

Visualizing FortiGate Logs on Kibana11:28
Send Email Alerts for FREE with the Email Output Plugin in Logstash8:50
Learn to send real-time email alerts from Logstash by using the email output plugin, configuring Gmail SMTP with app passwords, and tagging denied actions to trigger alerts.
Send Email Alerts for FREE with ElastAlert213:09
Learn to send free email alerts from your Elasticsearch data using ElastAlert2 by configuring config.yaml, custom rules, and SMTP settings, with real-time query results in Kibana.
What is Metricbeat mainly used for?
Final Test

Requirements

Basic understanding of Linux or Windows command line
A computer capable of running multiple Elastic Stack services
No prior Elasticsearch or Kibana experience required — everything is taught from scratch

Description

This course is Elastic Stack 8.x, including Elasticsearch, Kibana, Logstash, Beats, ILM, and Fleet Server.

Master the Elastic Stack: Elasticsearch & Kibana Hands-On is a complete, practical course designed for anyone who wants to learn how to install, configure, secure, ingest, monitor, visualize, and manage the Elastic Stack from scratch. Whether you are a beginner or an IT professional, this course covers all aspects of real-world data pipelines, monitoring, and analytics.

Why Learn Elastic Stack?

Power Modern Data Workflows – Ingest, enrich, and monitor logs from multiple sources like FortiGate firewalls, Cisco ASA, SNMP devices, and system logs.
Unlock Career Opportunities – Gain skills required for high-demand roles in DevOps, Security Operations, SIEM, Monitoring, and Analytics.
Build Enterprise-Level Solutions – Learn to manage clusters, implement Index Lifecycle Management (ILM), and scale Elasticsearch deployments efficiently.
Visualize & Analyze Data – Use Kibana dashboards, Lens, Timelion, and visualizations to turn raw logs into actionable insights.

What You Will Learn

By the end of this course, you will be able to:

Install, configure, and secure a complete Elastic Stack including Elasticsearch, Kibana, Logstash, Beats, and Fleet Server.
Ingest data from multiple sources using Logstash, Filebeat, Packetbeat, and Metricbeat.
Monitor Elastic Stack components, clusters, and logs using Metricbeat & Filebeat.
Visualize and analyze logs in Kibana, create dashboards, and use Timelion for advanced graphs.
Implement Index Lifecycle Management (ILM) and perform rolling restarts to ensure cluster stability.
Build automated alerting systems using Logstash Email Output Plugin and ElastAlert2.
Deploy Elastic Stack using Docker and build custom Logstash Docker images.
Work with real-world log sources such as FortiGate, Cisco ASA, SNMP, and Bandwidth statistics.
Kibana Advanced Visualizations Explained
Elasticsearch: Collect Logs Using Filebeat
Kibana: DataView and Dashboards
Elasticsearch: Mappings & Bulk Upload
Elasticsearch: Install on Docker
Elasticsearch: Complete Search with Query DSL
Elasticsearch: Collect Metrics with Metricbeat

Hands-On Projects

You will gain practical experience through hands-on exercises covering:

Complete Elastic Stack setup and security configuration
Log ingestion pipelines from firewalls and network devices
Cluster monitoring, node addition, and scaling
Creating Kibana dashboards and Timelion graphs
Setting up automated alerts and notifications
Docker-based Elastic Stack deployment

By the end of this course, you will be confident in designing, deploying, and managing enterprise-grade Elastic Stack solutions for real-world applications.

Start Your Elastic Stack Journey Today!

Gain hands-on skills, boost your career, and become proficient in Elasticsearch, Kibana, Logstash, and Beats. This course equips you to handle logging, monitoring, analytics, and visualization like a professional.

Who this course is for:

Students who want to master the Elastic Stack from beginner to advanced
IT professionals working with logging, SIEM, monitoring, or analytics
Network & security engineers handling FortiGate, Cisco ASA, or firewall logs
DevOps and system administrators building monitoring pipelines
Data engineers who want to ingest, enrich, and visualize data at scale
Anyone wanting hands-on skills in Elasticsearch, Logstash, Kibana, Beats, and Docker

Elastic Stack: Elasticsearch & Kibana — The Complete Guide

What you'll learn

Explore related topics

Course content

Elastic Stack Foundations & Essentials7 lectures • 2hr 30min

Installing Elasticsearch, Kibana, Logstash & Beats7 lectures • 2hr 20min

Data Ingestion: Logs, Metrics, Firewalls, SNMP7 lectures • 2hr 13min

Indexing, Search, & Data Management5 lectures • 1hr 2min

Cluster Operations & Scaling4 lectures • 37min

Agents, Docker, Custom Pipelines4 lectures • 1hr 7min

Dashboards, Alerts & Automation3 lectures • 33min

Requirements

Description

Who this course is for: