The Amazon ECS CLI enables users to run their applications on ECS/Fargate using the Docker Compose file format, quickly provision resources, push/pull images in ECR, and monitor running applications on ECS/Fargate.

Powerful CLI tool to simplify Amazon ECS deployments, rollbacks & scaling

CLI tool that you can interactively call Amazon ECS APIs (run-task, execute-command, stop-task), copy files between ECS and local, and view logs.

CLI that deploys OAM workloads to Amazon ECS on AWS Fargate

This course will teach you AWS basics right through to advanced cloud computing concepts. Ideal for beginners - absolutely no cloud computing experience is required! There are lots of hands-on exercises using an AWS free tier account to give you practical experience with Amazon Web Services. Visual slides and animations will help you gain a deep understanding of Cloud Computing. This is the perfect course for Beginners to the Cloud who want to learn the fundamentals of AWS - putting you in the perfect position to launch your AWS Certification journey and career in cloud computing. 👍 Download the course code and files here: https://digitalcloud.training/aws-bas... 👍 Access your free Guide to AWS Certifications (ebook) here: https://digitalcloud.training/aws-fre... 🎥 Course developed by Neal Davis - Founder of Digital Cloud Training 🔗 Check out the Digital Cloud Training YouTube channel: https://www.youtube.com/c/digitalclou... ⭐️ Course Contents ⭐️ (00:00:00) Course Introduction Section 1 - AWS Basics (00:00:53) Introduction (00:01:19) Amazon Web Services Overview (00:04:26) AWS Global Infrastructure (00:07:35) AWS Pricing (00:15:37) Setup your AWS Free Tier Account (00:21:19) Create a Billing Alarm (00:27:34) IAM Overview (00:32:47) Create IAM User and Group (00:37:38) Amazon Virtual Private Cloud (VPC) (00:48:36) Security Groups and Network ACLs (00:58:40) AWS Public and Private Services (01:00:51) Install the AWS Command Line Interface Section 2 - Amazon Elastic Compute Cloud (EC2) (01:02:08) Introduction (01:02:36) Amazon EC2 Overview (01:08:00) Launching an Amazon EC2 Instance (01:16:42) Connecting to Amazon EC2 Instances (01:27:48) Create a Website Using User Data (01:33:52) Using Access Keys with EC2 (01:34:50) Using IAM Roles with EC2 (01:39:05) Scale Elastically with Amazon EC2 Auto Scaling (01:47:47) Create a Target Tracking Scaling Policy (01:55:43) Add Load Balancing with Amazon ELB Section 3 - AWS Storage Services (02:09:52) Introduction (02:10:28) AWS Storage Services Overview (02:12:40) Create an Attach EBS Volume (02:20:47) Instance Store Volumes (02:23:34) EBS Snapshots and AMIs (02:31:38) Create Amazon EFS File System (02:40:26) Amazon S3 Create Bucket and Make Public (02:47:32) Working with S3 Objects from the AWS CLI Section 4 - AWS Databases (02:52:49) Introduction (02:53:28) Amazon RDS Overview (02:59:52) Create Amazon RDS Multi-AZ (03:10:35) Add an Amazon RDS Read Replica (03:16:18) Install WordPress on EC2 with RDS Database (03:23:56) Amazon DynamoDB Section 5 - Automation on AWS (03:34:34) Introduction (03:35:34) How to Deploy Infrastructure Using AWS CloudFormation (03:37:36) Create Simple Stacks with AWS CloudFormation (03:47:52) Create Complex Stack with AWS CloudFormation (03:56:45) Deploy an Application Using AWS Elastic Beanstalk Section 6 - DevOps on AWS (04:02:00) Introduction (04:02:43) Continuous Integration and Continuous Delivery (CI/CD) (04:05:55) AWS CodePipeline with AWS Elastic Beanstalk (04:15:26) Create AWS CodeStar Project Section 7 - DNS Services and Content Delivery (04:25:47) Introduction (04:26:23) Amazon Route 53 Overview and Routing Policies (04:30:22) Register Domain Using Route 53 (04:35:44) Create Amazon CloudFront Distribution with S3 Static Website (04:44:30) Add an SSL/TLS Certificate and Route 53 Alias Record Section 8 - Docker Containers and Serverless Computing (04:53:35) Introduction (04:54:34) Docker Containers on Amazon ECS (05:06:06) Serverless with AWS Lambda Section 9 - Application Integration and Loose Coupling (05:13:12) Introduction (05:14:01) Amazon SNS and Amazon SQS (05:16:32) AWS Lambda to Amazon SQS Event Source Mapping (05:22:49) Serverless Application - Amazon SQS, SNS, and Lambda 🔗 Digital Cloud Training: https://digitalcloud.training/ 🔗 LinkedIn: https://www.linkedin.com/in/nealkdavis/ 🔗 Twitter: https://twitter.com/nealkdavis 🔗 Instagram: https://www.instagram.com/digitalclou... 👍 AWS Cloud Practitioner - https://digitalcloud.training/amazon-... 👍 AWS Solutions Architect Associate - https://digitalcloud.training/amazon-...

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📦 Package - Amazon ECS CLI

A CLI tool for Amazon ECS that provides some commands to execute bothersome operations

This project covers the implementation of dockerizing a python flask based credit risk assessment calculator web application integrated with two different deep learning and transfer learning based ML models; using Amazon AWS Elastic Container Registry (ECR), AWS Elastic Container Service (ECS) and deployed into both AWS Fargate Cluster and EC2 Instance/Cluster. Calculating a 3-digit credit score of an individual and the percentage of probability of default of the individual are the outcomes of the 2 ML models deployed. The implementation includes below steps: 1. Creation of a Docker File for the Python Flask Based Credit Risk Assessment Web Application with 2 Deep Learning Models 2. Created a new EC2 Ubuntu Server Instance in AWS and copied the web application project’s directories and files into the AWS Ubuntu Server using SFTP linux commands. 3. Transformation of the Docker File into a Docker Image 4. Creation of a Docker Repository in AWS using AWS ECR Service 5. Authentication the Docker User Login Credentials with AWS using AWS Command Line Interface (CLI) 6. Pushed the Web Application’s Docker Image in to AWS ECR 7. Creation of the Docker Container in the AWS using AWS ECS Service 8. Creation of the Task Definition in the AWS ECS Service linked to the Docker Container 9. Configured the ECS Service Definition, by denoting the replicas of the task definitions to be executed. Enabled Load Balancer feature to manage the incoming load of the web application’s requests and traffic into the AWS Cluster. 10. Configured the AWS Fargate Cluster to execute the service and the tasks; and deployed the docker based web application into AWS Fargate Cluster. 11. Alternately; created and configured the AWS EC2 Instance/Cluster. Created Identity and Access Management (IAM) user with role and policies. Executed the ECS tasks; and deployed the docker based web application into AWS EC2 Instance. Tools & Technologies: Python, Flask, HTML, AWS, EC2, Ubuntu Server, Linux Commands, Command Line Interface (CLI), Docker, ECR, ECS, Fargate, IAM

A Docker image for the Amazon ECS CLI tool.

Quick ECS - A fast, interactive CLI tool for managing Amazon ECS services with a focus on day-to-day operations and troubleshooting.

Cli tool to access Amazon ECS containers with a shell

CLI tool for Amazon ECS operations

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Docker image with the Amazon ECS CLI tool to creating, updating, and monitoring clusters and tasks on Amazon ECS

AspNet Core build image for CI server with Amazon ECS CLI

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Docker Image - Amazon Linux 2 with AWS CLI tools including ECS-CLI, python3/pip3 and Terraform

The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.

This project deploys a containerized PHP application to Amazon ECS Fargate using the AWS CLI. It connects to an RDS MySQL database, uses Secrets Manager for secure credential management, and includes autoscaling based on CPU usage.

In this project, I implemented a task management application deployed as applications using AWS Copilot CLI to create CI/CD pipelines for both frontend and backend. The CI/CD pipelines utilized services like AWS CodePipeline, CodeCommit, CloudFormation, and Amazon ECS to automate the process from code commit to deployment of container services.