Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.36 GB | Duration: 6h 21m

Utilizing ELK Stack in Building Complex Architectures[/center]

What you'll learn
Understand the basics of Elasticsearch
Understand the ELK stack (Open Source)
Build Applications utilizing Elasticsearch
Elasticsearch as part of complex archietectures
Requirements
Programming experience in an object oriented Language
Ability to use command Line
Windows OS
Description
This course has a broader scope and covers not just the ELK stack but also integration of Elasticsearch with other technologies that are commonly used in the industry to build efficient, scalable and powerful architectures. The course starts with the basics and guides the student on the ELK stack, provides useful information on how to install various components of the ELK stack. Certain parts of the lessons are intentially repeated to reinforce the ideas and help with improved learning. This course can be taken by both beginners and experienced Professionals to learn the technology or refresh previous knowledge. The course covers the latest version 8 of the ELK stack however do note the minor versions are being released almost every 2 months therefore, the version on the course may be slightly behind but all that is discussed in the course should work with the latest minor version of ELK stack.It is highly recommended that student has background in software development or possesses programming skills. For those who do not, they can follow along or just watch the lessons. The course has been desgined to enable student to learn the exciting stack and help them understand how they can adopt ELK stack in their current & future projects.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Scope
Lecture 3 ELK Architecture
Lecture 4 Elasticsearch
Lecture 5 Why Elasticsearch
Lecture 6 Elasticsearch common use cases
Lecture 7 Configuration over code
Lecture 8 System Requirements
Section 2: Installations
Lecture 9 download скачать & Install Elasticsearch I
Lecture 10 download скачать & Install Elasticsearch II
Lecture 11mportant Choosing short paths (Windows)
Lecture 12mportant Firewalls and security settings (Windows)
Lecture 13 Running Elasticsearch (Local)
Lecture 14 Running Elasticsearch (non-Windows)
Lecture 15[Optional] Running Elasticsearch (Docker)
Lecture 16 Important (Certificate Warning, Docker version)
Lecture 17[Optional] Verify Elasticsearch is up (Docker)
Lecture 18 Elasticsearch Default Configuration (Local Machine)
Lecture 19 Important commands
Lecture 20 Verify Elasticsearch is up and running (Local)
Lecture 21 Important Information about the Certificate Warning
Lecture 22[Optional] Sorting the Certificate Warning
Lecture 23 Elasticsearch Installation Review
Lecture 24 download скачать & Install Kibana I
Lecture 25 download скачать & Install Kinbana II[Enrollment]
Lecture 26[Optional] Containerized Kibana
Lecture 27 Downloading Logstash
Lecture 28 Examining Logstash Installation
Lecture 29 Important About next lesson
Lecture 30 Verify Logstash (Simple Pipeline)
Lecture 31 Downloading FileBeats (Beat)
Lecture 32 FileBeats Installation
Lecture 33 Important about next lesson (Data Shippers)
Lecture 34 Verify FileBeat installation (Shipping Data via FileBeat)
Lecture 35 Section Review
Lecture 36[Troubleshooting] Kibana -> Elasticsearch connection Issue
Lecture 37[Troubleshooting] Problem Starting Zookeeper
Section 3: Elasticsearch Architecture
Lecture 38 Elasticsearch Modes (Single vs Cluster vs SAAS)
Lecture 39 Elasticsearch Rest APIs
Lecture 40 Restful API
Lecture 41 Understanding JSON I
Lecture 42 Understanding JSON II
Lecture 43 Optional[Starting Elasticsearch & Kibana]
Lecture 44 Client for Rest API (Kibana Dev Console)
Lecture 45 Inside Elasticsearch Cluster I
Lecture 46 Inside Elasticsearch Cluster II
Lecture 47 Inverted Index
Lecture 48 Review: Partitioning, Shards and Index
Lecture 49 Cluster API
Lecture 50 Segments
Lecture 51 Analyzers
Lecture 52 Mappings
Lecture 53 Relevance
Section 4: Elasticsearch CRUD Operations
Lecture 54 Data for this and next sectionmportant
Lecture 55 Creating a document I
Lecture 56 Creating a document II[Avoid Duplicates]
Lecture 57 Creating documents III[PUT]
Lecture 58 Geting a document
Lecture 59 Bulk Create
Lecture 60 Search Query I
Lecture 61 Documents Relevance (Similarity)
Lecture 62 Controlling Relevancyoosting Parameter
Lecture 63 Controlling Relevancyoosting Query
Lecture 64 Term Query[Recap]
Lecture 65 Search Query IIool Query
Lecture 66 Search Query III[Filters]
Lecture 67 Fuzzy Query
Lecture 68 Keyword vs Text
Lecture 69 Updating a document I
Lecture 70 Updating a document II
Lecture 71 Deleting a Document
Lecture 72 Creating an Index
Lecture 73 Reindexing Documents
Lecture 74 Node & NPMmportant
Lecture 75 Using ElasticDumpmport to ES
Lecture 76 Using ElasticDump[Export from ES]
Lecture 77 Loading CSV data into Elasticsearch via Kibana
Lecture 78 JSON & NDJSON
Lecture 79 Loading JSON data into Elasticsearch via Kibana Upload
Lecture 80 Kibana Data View[customers index]
Lecture 81 Loading Apache Log Data[GROK]
Lecture 82 Understanding GROK with example
Lecture 83 Data Ingestion Architecture
Lecture 84 Data Ingestion Bulk insert Demo[Python]
Lecture 85 Using SQL with Elasticsearch
Section 5: Advanced Elasticsearch
Lecture 86 Analyzers Iuilt-in Analyzers
Lecture 87 Analyzers II[Custom Analyzer]
Lecture 88 Ngram Tokenizer
Lecture 89 Edge Ngrams
Lecture 90 Runtime Fields
Lecture 91 Creating a policyLM
Lecture 92 Apply a policyLM
Lecture 93 Aggregations
Section 6: Kibana Visualization and Analytics
Lecture 94 What is Kibana
Lecture 95 Working with Data Views
Lecture 96 Visualizations & Dashboards
Lecture 97 Management
Section 7: Data Shippers
Lecture 98 Data Shippers
Lecture 99 Beats and Logstash
Lecture 100 Beats Configuration
Lecture 101 Uptime Monitoring using Heartbeat
Lecture 102 download скачать & Installation
Lecture 103 Configuration
Lecture 104 Testing Configuration
Lecture 105 Enabling Heartbeat Dashboards
Lecture 106 Running Heatbeat
Lecture 107 Elasticsearch and Kibana Status
Lecture 108 Running File Beat Review
Lecture 109 Data Streams
Section 8: Logstash
Lecture 110 What is Logstash
Lecture 111 Configuration
Lecture 112 Important for next lesson
Lecture 113 Logstash Example
Lecture 114 Pros & Cons
Section 9: NoSQL Data Modelling
Lecture 115 Why Data Modelling
Lecture 116 Data Modelling
Lecture 117 Data Modelling (SQL vs NoSQL)
Lecture 118 Elasticsearch Data Modelling Patterns
Lecture 119 Importing Data for this section
Lecture 120 Case Study
Lecture 121 Relationship Patterns: Application Joins
Lecture 122 Relationship Patterns: Application Joins Demo
Lecture 123 Loading Data for Inner Objects
Lecture 124 Inner Objects
Lecture 125 Problems of Inner Objects Demo
Lecture 126 Inner Objects Flattening
Lecture 127 Loading Data for Nested Objects
Lecture 128 Relationship Patterns: Nested Objects
Lecture 129 Relationship Patterns: Nested Objects Demo
Lecture 130 Relationship Patterns: Parent Child relationships Introduction
Lecture 131 Relationship Patterns: Parent Child relationship Intro
Lecture 132 Relationship Patterns: Parent Child relationship Demo
Lecture 133 Relationship Patterns: Denormalisation
Lecture 134 Relationship Patterns: Denormalisation Code
Lecture 135 Relationship Patterns: Denormalisation Demo
Lecture 136 Relationship Patterns: Inversion Pattern
Lecture 137 Factors to consider (Embedding vs Reference)
Section 10: Elasticsearch As Data Store (App Development)
Lecture 138 About this section
Lecture 139 Elasticsearch as Database
Lecture 140 Example architecture: Elasticsearch as a DataStore
Lecture 141 Load plant Data[CSV]
Lecture 142 Checking Plant Index mappings
Lecture 143 Code Editors
Lecture 144 Setting up and Running the Project
Lecture 145 Application Demo
Lecture 146 Dependencies (packages)
Lecture 147 Making a connection
Lecture 148 Server side code (NodeJS-ES integration)
Lecture 149 Front end (Pure Javascript Application)
Lecture 150 Application Review
Lecture 151 Binary Data
Lecture 152 What we will build
Lecture 153 Transforming raw data
Lecture 154 Creating Index and specifying custom mappings
Lecture 155 Important (installing all the required packages)
Lecture 156 Loading data via custom application (Node JS)
Lecture 157 Verifying Stored data
Lecture 158 Server side processing
Lecture 159 Client side Application
Lecture 160 Application Demo
Section 11: ELK as part of Complex Architecture
Lecture 161 Section Introduction
Lecture 162 Change data capture
Lecture 163 Data Pipelines
Lecture 164 Determine System OS
Lecture 165 Apache Kafka on Windows[Requirements]
Lecture 166 download скачать and Install JDK I
Lecture 167 download скачать and Install JDK II
Lecture 168 Setting Paths (Java/JDK)
Lecture 169[Phase I] Postgres to Kafka Integration
Lecture 170 Downloading & Installing Apache Kafka (Windows)
Lecture 171 Exploring Apache Kafka Installation Directory[Windows]
Lecture 172 Starting Zookeeper
Lecture 173[Troubleshooting] Zookeeper Warning
Lecture 174 Configuring & Starting Apache Kafka
Lecture 175 Setting up Postgres on Windows (Docker)
Lecture 176 Setting up Postgres Locally
Lecture 177 Running Postgres on Docker
Lecture 178mportant Pgadmin new connection
Lecture 179 Review What have we got
Lecture 180 Important for next lesson
Lecture 181 download скачать and copy Debezium Connector
Lecture 182 Kafka Connect
Lecture 183 Configuring Connector
Lecture 184 Putting it all together
Lecture 185 Commands used
Lecture 186[Phase II] Kafka to Elasticsearch
Lecture 187 Ports in use
Lecture 188 Limitation of Confluent Kafka Sink Connector
Lecture 189 Options
Lecture 190 Important for next 2 lessons[Must read]
Lecture 191 Creating Logstash Pipeline (Configuration)
Lecture 192 Configuring Security for Logstash ES Integration
Lecture 193 Running Logstash and verifying results
Lecture 194 Testing the complete pipeline (real time)
Lecture 195 Final Review (What we have achieved)
Lecture 196 Troubleshooting/ FAQ
Section 12: ELK in Cloud
Lecture 197 Cloud SAAS Offerings
Section 13: Elasticsearch Optimization & Considerations
Lecture 198 Checking Elasticsearch installation using Opster
Lecture 199 Data Modelling
Lecture 200 Segments (Optimization)
Lecture 201 Sharding Strategy
Lecture 202 Elasticsearch Performance Optimizations
Section 14: Wrap Up
Lecture 203 Course Review
Software developers,Software Engineers,Programmers,Architects

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