Aws Devops: Elasticsearch At Aws With Terraform And Ansible

AWS devops. How to deploy Elasticsearch cluster at AWS using Opensearch, ECS, EC2 with terrafrom and ansible

What you'll learn

How to deploy HA Elasticsearch cluster using AWS Opensearch

How to deploy HA Elasticsearch cluster using AWS ECS

How to deploy HA Elasticsearch cluster using AWS EC2

Elasticsearch autoscaling

Elasticsearch cluster conceptions and performance

AWS IAM, VPC, ECS, Opensearch, security groups

Docker and Docker swarm

Requirements

Terraform/Ansible basics

AWS basic conceptions, e.g VPC, EC2, subnets, security groups…

Good knowledge at docker and at least basic knowledge at docker orchestration

Active AWS account

Description

The course consists of 5 main modules.Teh first one is about how to deploy ES as an AWS service, which is called OpenSearch. Here I will tell you about interesting OpenSearch pitfalls that I discovered during my commercial practice. And believe me - you will not find that information at AWS documentation. You will get a ready terraform module for deploying the Opensearch cluster and we will analyze it step by step together.In the 2d part I will show how to deploy an ES cluster at ECS (Elastic Container Service). And again we will use the terraform modules for that. I will show you why you can't use Fargate in that case and how many problems should be resolved to deploy ES at ECS.Next course section is about how to deploy ES at EC2 instances using docker swarm. I will prove to you that it is the easiest and at the same time the most cheap way to deploy ES at almost any cloud for most small and middle companies with a steady growth pattern. You will get ready terraform modules that will allow you to prepare AWS infrastructure and ansible modules for deploying HA ES cluster upon it.The 4th part is devoted to autoscaling possibilities of ES cluster using different deployment approaches. We will talk about what we really can autoscale, when we can use it and what big limitations we have in case of working with ES.5th module is devoted to the theory. If you are already familiar with ES cluster conceptions and everything that is related to shards and ES performance - then you can skip it. But if not - that is the place where you have to start from.

Overview

Section 1: Introduction

Lecture 1 Promo introduction video

Lecture 2 Course road map

Section 2: Initial terraform configuration aspects

Lecture 3 Terraform repository code structure and environment configuration

Lecture 4 Pre-init terraform module

Section 3: AWS skeleton configuration

Lecture 5 Network architecture scheme

Lecture 6 Part 1: Network terraform module - vpc, subnets, cidr

Lecture 7 Part 2: Network terraform module - routing tables and security groups

Lecture 8 Part 3: Network terraform module implementation

Lecture 9 Terraform bastion module

Section 4: Deploying an Elasticsearch cluster using AWS Openseach

Lecture 10 What is OpenSearch?

Lecture 11 Part 1: Terraform OpenSearch module - security and permissions

Lecture 12 Part 2: Terraform OpenSearch module - cluster configuration

Lecture 13 Part 3: Terraform OpenSearch module - network, logs and storage

Lecture 14 Part 4: Terraform OpenSearch module - CW alarms, variables

Lecture 15 Apply terraform OpenSearch module, domain endpoint and opensearch dashboard

Lecture 16 OpenSearch monitoring

Lecture 17 Short summary and essential notices that appeared from real commercial practice

Section 5: Deploying an ES cluster using AWS ECS

Lecture 18 What is ECS and why not Fargate but EC2

Lecture 19 ECS base components and architecture scheme

Lecture 20 Elasticsearch Docker file and AWS ECR

Lecture 21 ECS IAM profile terraform module

Lecture 22 ECS EC2 terraform module

Lecture 23 ECS cluster terraform module

Lecture 24 Elasticsearch at AWS ECS - short summary

Section 6: Deploying an ES cluster using AWS EC2 and docker swarm

Lecture 25 What is docker swarm and why it is not dead

Lecture 26 Docker swarm architecture

Lecture 27 EC2 terraform module

Lecture 28 Ansible inventory, docker and docker swarm ansible roles

Lecture 29 Ansible Elasticsearch role

Lecture 30 Elasticsearch and docker swarm - short summary

Section 7: Autoscaling and Elasticsearch

Lecture 31 Autoscaling at Elasticsearch at AWS

Section 8: Course summary - which deployment scenarios is better?

Lecture 32 Course summary - which deployment scenarios is better?

Section 9: Elasticsearch theory

Lecture 33 Inside a cluster

Lecture 34 ElasticSearch - shards and performance

Lecture 35 Indexing secretes

Software engineers, devops engineers,Everybody who likes ElasticSearch and want to get more knowledge around it