Mastering ElasticSearch 6.x and the Elastic Stack
Mastering ElasticSearch 6.x and the Elastic Stack, available at $19.99, has an average rating of 4.05, with 37 lectures, based on 15 reviews, and has 112 subscribers.
You will learn about Understand Elastic Stack from start to finish and be able to jump right into a real work project. Store structured and unstructured data typically found in system events or log files to gain visibility and understanding of your application Learn the skills required to instantly search petabytes of data and provide amazing customer interactions Build a central log collection system Leverage HTTP-based APIs for ElasticSearch insert, query, and configure operations. Take advantage of the huge disk space saving capabilities in ES 6 Utilize new features to visualize Logstash pipelines This course is ideal for individuals who are The course is for developers and system administrators who want to begin storing data in a cost-effective manner and want to leverage the functionality of the Elastic Stack. People with job titles such as Software Developer, Systems or Solutions Architect, System Administrator, DevOps Engineer, and so on will also be particularly interested in this course. Additionally, managers and directors in technology organizations will be able to understand the concepts and discuss them knowledgeably without breaking the budget. It is particularly useful for The course is for developers and system administrators who want to begin storing data in a cost-effective manner and want to leverage the functionality of the Elastic Stack. People with job titles such as Software Developer, Systems or Solutions Architect, System Administrator, DevOps Engineer, and so on will also be particularly interested in this course. Additionally, managers and directors in technology organizations will be able to understand the concepts and discuss them knowledgeably without breaking the budget.
Enroll now: Mastering ElasticSearch 6.x and the Elastic Stack
Summary
Title: Mastering ElasticSearch 6.x and the Elastic Stack
Price: $19.99
Average Rating: 4.05
Number of Lectures: 37
Number of Published Lectures: 37
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand Elastic Stack from start to finish and be able to jump right into a real work project.
- Store structured and unstructured data typically found in system events or log files to gain visibility and understanding of your application
- Learn the skills required to instantly search petabytes of data and provide amazing customer interactions
- Build a central log collection system
- Leverage HTTP-based APIs for ElasticSearch insert, query, and configure operations.
- Take advantage of the huge disk space saving capabilities in ES 6
- Utilize new features to visualize Logstash pipelines
Who Should Attend
- The course is for developers and system administrators who want to begin storing data in a cost-effective manner and want to leverage the functionality of the Elastic Stack. People with job titles such as Software Developer, Systems or Solutions Architect, System Administrator, DevOps Engineer, and so on will also be particularly interested in this course. Additionally, managers and directors in technology organizations will be able to understand the concepts and discuss them knowledgeably without breaking the budget.
Target Audiences
- The course is for developers and system administrators who want to begin storing data in a cost-effective manner and want to leverage the functionality of the Elastic Stack. People with job titles such as Software Developer, Systems or Solutions Architect, System Administrator, DevOps Engineer, and so on will also be particularly interested in this course. Additionally, managers and directors in technology organizations will be able to understand the concepts and discuss them knowledgeably without breaking the budget.
Elastic Stack is powered by the most popular open source search engine, ElasticSearch, currently used throughout the world by Fortune 500 companies such as Sprint and Dell and small startups who leverage the power and scalability of the Elastic Stack, without having to pay a fortune in licensing or professional services hours.
Getting ElasticSearch up and running is fairly straightforward, but fully understanding how to use the whole stack, from start to finish, is a rather daunting task. This course will focus on two major use cases with ElasticSearch. The first is leveraging the powerful full-text search engine ElasticSearch is built on, allowing developers to add blazingly fast search features to applications. The second is leveraging different components of the Elastic Stack to continuously monitor applications, infrastructure, or even customer transactions.
Throughout the course, students will go from a beginner to a master of Elastic Stack, via hands-on examples using real data.
About the Author
Chris Fauerbach is an active technical expert in the area of cybersecurity and the Elastic Stack. As a seasoned software engineer, he’s built multiple commercial products on the Elastic Stack and has a passion for teaching. Chris continues to research new technologies and explore new ways to solve problems. As he has become an expert in his field, he has been focusing primarily on writing and teaching. You can find his frequent blog and podcast episodes on this topic at fauie.Β Β
Course Curriculum
Chapter 1: First Steps with Elasticsearch and Kibana
Lecture 1: The Course Overview
Lecture 2: Overview of a Final Working Solution β This Is What We're Working Towards
Lecture 3: Install and Configure Elasticsearch
Lecture 4: Install and Configure Kibana
Lecture 5: Enable Monitoring via X-Pack for Elasticsearch and Kibana
Lecture 6: Loading Example Data in Elasticsearch
Chapter 2: Getting Deeper with Elasticsearch
Lecture 1: How Do We Store and Group Data β Documents
Lecture 2: Specifying Document Attributes β Data Types
Lecture 3: Classifying Similar Documents Types
Lecture 4: Organizing and Grouping Documents Indexes
Lecture 5: Give Me My Data Back β Searches
Chapter 3: Kibana Deep Dive
Lecture 1: Kibana Is Huge β Letβs Take It Apart
Lecture 2: Configuring Groups of Data for Querying β Index Patterns
Lecture 3: Time Range Queries β Slicing and Dicing
Lecture 4: Searches β Refining Queries to Find the Needle in the Haystack
Lecture 5: Saving and Sharing β Let Your Friends Know What You Found
Chapter 4: Data Flow with Logstash and Beats
Lecture 1: Logstash β Introduction
Lecture 2: Visualizing Pipelines in Kibana
Lecture 3: Process Documents with Filters
Lecture 4: Get Data into Logstash as a Server
Lecture 5: Working with Beats
Lecture 6: Outputs β Where Else Can Data Go
Chapter 5: Kibana Visualizations and Dashboards
Lecture 1: Impress Your Boss with Charts and Graphs
Lecture 2: Building a Heads Up Dashboard
Lecture 3: Sharing Dashboards Recap
Lecture 4: Use Kibana to Monitor the Health of Your Elastic Stack
Chapter 6: Exploring X-Pack
Lecture 1: Security β Provide Authentication and Authorization to Kibana
Lecture 2: Graph β Use the Built in Graph Interface to Pivot Around Data
Lecture 3: Machine Learning Is Hot, See How Elastic Facilitate0073
Lecture 4: Application Perfromance Monitoring β APM
Lecture 5: Application Performance Monitoring β APM (Continued)
Lecture 6: Timelion β Time Series
Chapter 7: Scaling Elasticsearch
Lecture 1: Indexes, Shards, and Replicas
Lecture 2: Adding Elasticsearch Nodes to increase query and indexing performance
Lecture 3: Use Master Nodes to control the cluster
Lecture 4: Master and Data Nodes β Sizing Your Cluster
Lecture 5: SaaS offerings of Elasticsearch at AWS and Elastic Cloud
Instructors
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Packt Publishing
Tech Knowledge in Motion
Rating Distribution
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- 3 stars: 6 votes
- 4 stars: 6 votes
- 5 stars: 3 votes
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