Elastic 8 Project: Monitoring with Elasticsearch & Kibana

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M Khalil,M Torkey

4:35:50

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1 - Introduction

1 - Overview of Elastic Stack.mp4

05:27

2 - Components of Elastic Stack.mp4

04:24

3 - Use Cases.mp4

05:30

2 - Elasticsearch

4 - Overview of Elasticsearch.mp4

07:13

5 - Data Ingestion and Document Indexing.mp4

08:11

6 - Basic Operations and CRUD Operations.mp4

03:30

7 - Data Modeling and Mapping.mp4

05:01

8 - Analyzers Tokenizers Filters.mp4

04:47

9 - Lab 1 Install and Configure Elasticsearch.mp4

08:35

10 - Lab 2 Elasticsearch Basic Operations.mp4

03:06

3 - Beats

11 - Overview of Beats.mp4

04:08

12 - Install Beats Metricbeat.mp4

02:57

13 - Metricbeat Configuration A Slide Overview.mp4

07:16

14 - Metricbeat Configuration Lab.mp4

04:52

4 - Kibana

15 - Introduction to Kibana.mp4

03:20

16 - kibana Configuration A slide overview.mp4

02:32

17 - Install and Access Kibana.mp4

06:08

18 - Kibana Essentials Visualizing VM Metrics Part 1.mp4

07:13

19 - Kibana Essentials Visualizing VM Metrics Part 2.mp4

03:29

20 - Create Kibana Dashboard.mp4

03:00

21 - Discover and Analyze.mp4

08:30

5 - Understand Elastic License and Trials

22 - Starts a 30day trial.mp4

01:30

6 - Security

23 - Overview of Security in the Elastic Stack.mp4

07:41

24 - Enable Elasticsearch Security A slide overview.mp4

02:58

25 - Enable Elasticsearch Security.mp4

02:06

26 - Enroll kibana with security enabled.mp4

04:53

27 - Securing Metricbeat for Elasticsearch Authentication.mp4

02:02

28 - RoleBased Access Control in Elastic Stack A slide overview.mp4

01:58

29 - Create a User and Assign the Role.mp4

04:24

30 - Create a User for DashboardOnly Access.mp4

04:24

7 - Monitoring and Observability

31 - Introduction to Cluster Monitoring.mp4

02:22

32 - Cluster Health and Stats in Elasticsearch.mp4

02:18

33 - Cluster Health Monitoring with clusterhealth endpoint.mp4

01:47

34 - Monitoring Elasticsearch with Metricbeat.mp4

05:10

35 - Monitoring Your Elasticsearch Cluster with Monitoring APIs.mp4

03:19

36 - Introduction to Elastic Stack Observability.mp4

04:31

37 - Implementing a basic observability setup.mp4

13:14

38 - RealTime Infrastructure Monitoring with Elastic Observability.mp4

07:59

39 - Logs Stream with Elastic Observability Nginx access log example.mp4

10:11

40 - Install and Configure APM Server.mp4

08:43

41 - APM Python App Example.mp4

09:42

8 - Project Deploy a ProductionReady Elastic Cluster

42 - Welcome to the Project.mp4

01:31

43 - Initialize First Elasticsearch Node.mp4

08:09

44 - Add Additional Master nodes to Elasticsearch cluster.mp4

10:04

45 - Add Additional Data nodes to Elasticsearch cluster.mp4

06:52

46 - Configure Master nodes roles to be master only.mp4

08:09

47 - Install and connect Kibana to projectone Elasticsearch cluster.mp4

05:50

48 - Install and Configure Logstash.mp4

07:10

49 - Configure Metricbeat to send its metrics directly to elasticsearch.mp4

05:39

50 - Configure Metricbeat to send its metrics directly to Logstash.mp4

03:30

51 - Configure alerts from Kibana Send alerts to slack.mp4

08:35

Description

A Step-by-Step Guide to Elastic Stack 8: Master Monitoring and Build a Production-Ready Cluster with a Hands On Project

What You'll Learn?

Master Elasticsearch fundamentals, including data indexing and modeling
Learn to configure and manage Beats, with a focus on Metricbeat
Acquire skills in Kibana for advanced data visualization and dashboard creation
Gain insights into Elastic Stack’s security mechanisms and best practices
Develop proficiency in role-based access control within the Elastic ecosystem
Understand and implement cluster monitoring techniques for Elasticsearch
Master the use of Elasticsearch's CRUD operations for effective data management
Gain hands-on experience in setting up and configuring a production-ready Elastic cluster
Learn to integrate and configure Logstash for efficient data processing and ingestion
Develop expertise in real-time infrastructure monitoring using Elastic Observability

Who is this for?

IT Professionals: System administrators, network engineers, and IT support staff looking to enhance their monitoring and logging capabilities

Data Analysts: Professionals working with large datasets who need efficient tools for data searching, visualization, and analysis

Software Developers: Developers seeking to integrate Elastic Stack into their applications for improved data handling and analysis

DevOps Engineers: Individuals in DevOps roles aiming to implement better monitoring and observability in their workflows

Security Analysts: Cybersecurity professionals interested in leveraging Elastic Stack for security monitoring and threat analysis

Database Administrators: DBAs wanting to expand their toolkit with Elastic Stack's powerful data indexing and search capabilities

Students in Computer Science/IT: University students or learners in related fields seeking practical skills in state-of-the-art data management and analysis tools

Data Engineers: Professionals focused on building and maintaining data infrastructure, who can benefit from Elastic Stack’s robust data processing features

Business Intelligence Professionals: Those involved in BI looking to leverage Elastic Stack for real-time analytics and reporting

Tech Enthusiasts and Hobbyists: Individuals with a keen interest in data technologies and looking to acquire new skills in a leading data platform

What You Need to Know?

Operating System Knowledge: Comfort with using either Windows, Linux, or macOS, as the course may involve installation and configuration tasks

Basic Command Line Skills: Ability to use the command line or terminal for executing simple commands

Computer System: A computer with sufficient RAM (at least 8GB recommended) and processing power to install and run Elastic Stack components

A Learning Mindset: Eagerness to learn and experiment with new technologies

More details

Description
Welcome to the "Elastic 8 Project: Monitoring with Elasticsearch & Kibana" course. This course serves as a comprehensive guide to mastering the Elastic Stack, a powerful suite of tools designed for real-time data searching, logging, and analytics. This course is structured to cater to both beginners and experienced professionals who seek to deepen their understanding and practical skills in Elastic Stack components.
The course begins with an introduction to the Elastic Stack, providing an overview of its components and potential use cases. This foundational knowledge sets the stage for a more in-depth exploration of Elasticsearch, the heart of the Elastic Stack. Students learn about data ingestion, document indexing, and essential CRUD (Create, Read, Update, Delete) operations. Special attention is given to data modeling, mapping, and the intricacies of analyzers, tokenizers, and filters.
Practical labs, such as installing and configuring Elasticsearch, are integral to the learning experience. These hands-on sessions ensure that students can apply their theoretical knowledge in real-world scenarios. The course also covers Beats, specifically Metricbeat, including its installation and configuration, accompanied by a lab and slide overviews for a comprehensive understanding.
The Kibana module introduces students to this powerful data visualization tool. It includes steps for installation, basic configuration, and creating dashboards. This section is pivotal for students to learn how to visualize and analyze data effectively, illustrated through examples like visualizing VM metrics.
Security in the Elastic Stack is another critical aspect covered in this course. It addresses Elasticsearch security, including practical steps to enable it and enroll Kibana with security features. Role-Based Access Control (RBAC) is explored, teaching students how to create users and assign roles, ensuring data protection and compliance.
The latter part of the course delves into monitoring and observability. It provides insights into cluster monitoring, health stats, and using Metricbeat for monitoring Elasticsearch. A unique feature is the inclusion of real-time infrastructure monitoring using Elastic Observability and a hands-on project that guides students through deploying a production-ready Elastic cluster.
Overall, this course offers a blend of theoretical knowledge and practical skills, making it ideal for anyone looking to master Elastic Stack for monitoring, logging, and alerting in a real-world environment.
Who this course is for:
IT Professionals: System administrators, network engineers, and IT support staff looking to enhance their monitoring and logging capabilities
Data Analysts: Professionals working with large datasets who need efficient tools for data searching, visualization, and analysis
Software Developers: Developers seeking to integrate Elastic Stack into their applications for improved data handling and analysis
DevOps Engineers: Individuals in DevOps roles aiming to implement better monitoring and observability in their workflows
Security Analysts: Cybersecurity professionals interested in leveraging Elastic Stack for security monitoring and threat analysis
Database Administrators: DBAs wanting to expand their toolkit with Elastic Stack's powerful data indexing and search capabilities
Students in Computer Science/IT: University students or learners in related fields seeking practical skills in state-of-the-art data management and analysis tools
Data Engineers: Professionals focused on building and maintaining data infrastructure, who can benefit from Elastic Stackâ€™s robust data processing features
Business Intelligence Professionals: Those involved in BI looking to leverage Elastic Stack for real-time analytics and reporting
Tech Enthusiasts and Hobbyists: Individuals with a keen interest in data technologies and looking to acquire new skills in a leading data platform

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Elasticsearch

M Khalil

Instructor's Courses

I'm M Khalil, I am a DevOps Engineer with a passion for teaching. I started in the IT field by learning the Linux Operating System and I've been involved with Linux for many years. My first job was a Linux Administrator and I've moved all the way across several roles until I became a DevOps Engineer. I've helped hundreds of thousands of students learn Linux Administration and learn other IT topics. I spend most of my time researching how to make learning Linux and other IT topics simple and make hard concepts easy to understand. I apply everything I discover into my courses. In my courses, you'll find lots of explanations and I always make sure everything is easy to understand.I'll be there for you every step of the way to make sure you understand everything.

M Torkey

Instructor's Courses

Hello! I'm Torkey.Empowering and educating has always been my forte. I am passionate about breaking down complex technical topics into easy-to-digest lessons that align closely with real-world applications. My approach to teaching isn't just theoretical; it's deeply rooted in the countless hours I've spent working hands-on in the field.With years under my belt as a Linux System Engineer, SRE Engineer, and DevOps Engineer, I've had the privilege of collaborating with a diverse range of companies. This experience has enriched my skill set, with proficiency in RedHat Enterprise Linux, CentOS, Ubuntu, SUSE Linux Enterprise Server, Ansible, Terraform, Python, Docker, and Kubernetes, to name a few.If you're a curious learner, aiming to master the tech realms I specialize in, let's embark on this journey together. Whether you're seeking knowledge for professional growth or personal enrichment, I'm here to guide you every step of the way.

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