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Kibana Masterclass - Capture, Analyze and Visualize Data

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Gaurav Soni

7:06:41

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  • 1. Course Introduction.mp4
    03:56
  • 2. ELK Stack Introduction - Part 1.mp4
    09:57
  • 3. ELK Stack Introduction - Part 2.mp4
    04:10
  • 4. Installation Options.mp4
    02:57
  • 5. Docker Installation - Part 1.mp4
    10:56
  • 6. Docker Installation - Part 2.mp4
    08:49
  • 7. Kibana Cloud Account.mp4
    03:42
  • 8. Downloading Project assets.html
  • 9. Downloading the Project Assets.mp4
    00:43
  • 1. Kibana basics from 1000ft.mp4
    06:09
  • 2. Adding sample dataset to Kibana.mp4
    03:51
  • 3. Adding Sample dataset via JSON.mp4
    03:24
  • 4. Discover Menu basics.mp4
    04:52
  • 5. Quick analytics , viewing data.mp4
    05:12
  • 6. Using field statistics.mp4
    03:52
  • 7. Using KQL in Discover.mp4
    10:17
  • 8. Negative conditions in KQL.mp4
    07:22
  • 9. Saving Filters.mp4
    01:58
  • 10. KQL Practice.mp4
    05:38
  • 1. Introduction to Dashboards and Visualizations.mp4
    01:25
  • 2. First Visualization and Dashboard.mp4
    05:26
  • 3. Time series vertical bar chart.mp4
    06:37
  • 4. Tabular chart.mp4
    06:24
  • 5. Comparing data using pie chart.mp4
    03:31
  • 6. Grouping data using treemap.mp4
    04:35
  • 7. Formulas in visualizations.mp4
    06:10
  • 8. Comparing data using line chart.mp4
    07:03
  • 9. Visualization Exercise.mp4
    05:55
  • 10. Adding visualization to library.mp4
    03:02
  • 11. Customizing Dashboard.mp4
    09:21
  • 12. Adding Controls to Dashboard.mp4
    04:27
  • 13. Pannel Drilldown.mp4
    06:01
  • 1. Maps Introduction.mp4
    04:05
  • 2. Kibana Maps Basics.mp4
    06:36
  • 3. Viewing data points on Kibana map.mp4
    07:28
  • 4. Clustering data on map.mp4
    06:39
  • 5. Heat map.mp4
    05:53
  • 6. Point to point mapping.mp4
    02:07
  • 7. Top hits per entity.mp4
    03:36
  • 8. Filtering data on Kibana maps.mp4
    04:53
  • 9. Basics about Kibana Graphs.mp4
    03:03
  • 10. Canvas Introduction.mp4
    05:53
  • 11. Basics of building Kibana Canvas.mp4
    08:56
  • 1. Observability Introduction.mp4
    06:01
  • 2. Sample server for running APM.mp4
    06:44
  • 3. Setting up APM service on Kibana and App.mp4
    10:01
  • 4. Analysing APM Data.mp4
    09:38
  • 5. Sending custom error metrics to APM Server.mp4
    11:47
  • 6. APM Service map , Dependencies Introduction.mp4
    10:08
  • 7. Issuing request to MongoDB.mp4
    05:57
  • 8. Viewing the request data on Kibana.mp4
    02:36
  • 9. Sending alerts via Kibana.mp4
    16:23
  • 10. API Uptime monitoring.mp4
    11:46
  • 11. APM RUM Service Introduction.mp4
    03:16
  • 12. RUM configuration on website.mp4
    08:27
  • 13. RUM User Experience Dashboard.mp4
    06:37
  • 14. APM Click event monitoring.mp4
    08:09
  • 15. Setting up application logger.mp4
    08:18
  • 16. Debugging logs in Kibana.mp4
    11:59
  • 1. Introduction to Kibana Enterprise Search.mp4
    04:46
  • 2. App search basics.mp4
    07:56
  • 3. App search, Search UI and Analytics.mp4
    03:51
  • 4. Adding web crawlers.mp4
    02:51
  • 5. App search relevance tuning.mp4
    09:24
  • 6. App search Curations and Synonyms.mp4
    04:04
  • 7. Adding Elastic Index to App Search.mp4
    02:15
  • 8. Using App search API.mp4
    04:40
  • 1. Kibana Management Basics.mp4
    07:51
  • 2. User management permissions.mp4
    14:01
  • 3. Thank You.mp4
    00:24
  • Description


    Learn to create Visualizations , and build amazing Dashboard, Capture logs and performance using APM and more.

    What You'll Learn?


    • Kibana from Basics to Advanced
    • Creating useful reports and dashboards
    • Examining and finding data such as logs
    • Pushing live data from Backend application and Web application to Kibana
    • Setting up Kibana on Cloud and using Docker
    • Practical examples and exercise

    Who is this for?


  • Software Developers
  • Data analyst
  • Managers wanting to visualize data
  • More details


    Description

    What is Kibana ?

    Kibana is one of the tools belonging to the ELK stack. It is one of the most popular tools to analyze and visualize big amount of data. This data maybe from Application Logs, Infrastructure Metrics or IOT devices.


    What does this course cover ?

    I have been using Kibana for visualizing and creating dashboard for multiple years , and have tried to keep this course as practical as possible. This is going to be a hands-on course wherein you would learn and understand various ways of ingesting data into Kibana and creating meaningful dashboards for types of roles in the company.


    We are going to gain the knowledge in the following organized steps


    1. Adding data to Kibana

    2. Explore the data using Kibana Discover

    3. Create various types of visualizations ( pie chart , bar chart , line chart and more ) based on the type of data

      1. Also covering data aggregation and filtering

    4. We move on to Monitoring and analyzing metrics of applications and computers , and setting up email alerts

    5. Finally we also see how to build search engine for our website using App search and web crawlers

    6. As a bonus , I will also show you how you could leverage the ELK stack to build a logging system for your applications.

      1. We will be using an actual web application that I have developed and connect it to Kibana, we will then monitor and check the performance of our website.

    This is the most in depth course on Kibana on Udemy , which will give your the knowledge to explore and implement Kibana at the fullest.


    Finally, I am very active on Q&A and would be happy to assist you throughout the course.


    Wish you all the best and happy learning.

    Who this course is for:

    • Software Developers
    • Data analyst
    • Managers wanting to visualize data

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    I am a software developer and a business consultant. Having worked on softwares from scratch to production have provided me with end-to-end knowledge softwares. As a business consultant I have met managers and CEO of various companies, thus I understand the various problems businesses face, and the ways to resolve them.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 69
    • duration 7:06:41
    • Release Date 2023/03/02