Published 11/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.81 GB | Duration: 3h 33m 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