AWS devops: ElasticSearch at AWS with terraform and ansible

🌟 AWS DevOps: Deploy Elasticsearch Cluster at AWS using Terraform and Ansible 🌟

What you'll learn:

• 🔹 Deploying HA Elasticsearch cluster using AWS Opensearch
• 🔹 Deploying HA Elasticsearch cluster using AWS ECS (Elastic Container Service)
• 🔹 Deploying HA Elasticsearch cluster using AWS EC2 (Elastic Compute Cloud) instances
• 🔹 Mastering Elasticsearch autoscaling
• 🔹 Understanding Elasticsearch cluster concepts and performance optimization
• 🔹 Gaining expertise in AWS IAM (Identity and Access Management), VPC (Virtual Private Cloud), ECS, Opensearch, and security groups
• 🔹 Leveraging Docker and Docker Swarm for container management

Requirements:

• ✅ Active AWS account
• ✅ Basic understanding of Terraform and Ansible
• ✅ AWS fundamentals, including VPC, EC2, subnets, and security groups
• ✅ Good knowledge of Docker
• 🔹 Basic knowledge of Docker orchestration (Fargate experience is not required)

Course Overview:

This course will guide you through the process of deploying an Elasticsearch cluster on AWS using Opensearch, ECS, and EC2 with the aid of Terraform and Ansible. You'll uncover valuable AWS and DevOps tips and tricks along the way.

Module Breakdown:

1. Deploying ES with OpenSearch Service: Discover hidden pitfalls and get a ready terraform module for deploying an OpenSearch cluster, which we will analyze together.
2. Deploying ES on AWS ECS: Explore how to deploy an Elasticsearch cluster within ECS using terraform modules, understand why Fargate might not be the best option, and learn how to address various challenges encountered during this process.
3. Deploying EC2 with Docker Swarm: Learn about the most cost-effective way to deploy ES for small to medium-sized companies, with a focus on steady growth. You'll receive terraform modules to set up the AWS infrastructure and ansible modules for deploying an HA Elasticsearch cluster.
4. Elasticsearch Autoscaling: Dive into autoscaling capabilities of ES clusters across different deployment approaches, understanding what can be scaled, when, and the limitations involved.
5. Theory and Concepts: If you're new to Elasticsearch cluster conceptions and performance theory, this is where you should start. Gain a solid foundation before diving into practical exercises.

Who this course is for:

• 👩‍💻 Software Engineers looking to expand their knowledge of Elasticsearch/OpenSearch on AWS.
• 👨‍💻 DevOps Engineers seeking to implement robust and scalable Elasticsearch solutions within AWS environments.
• 🚀 Anyone interested in Elasticsearch/OpenSearch who wishes to deepen their understanding and practical skills with real-world applications.

Join us on this journey to master the deployment and management of Elasticsearch clusters using cutting-edge tools and services available on AWS, guided by expert instructor Sergii Demianchuk. 🚀🧠