Deploy docker container on AWS ECR

person icon Omkar Chandrakant Kuchekar

4.4 ★★★★ ★

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Deploy docker container on AWS ECR

Name: Deploy docker container on AWS ECR
Rating: 4.4 (90 reviews)
Author: Omkar Chandrakant Kuchekar

How to Deploy a Node.js Server Docker Container to AWS ECR

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Omkar Chandrakant Kuchekar

English [CC]

category icon Amazon AWS

Lectures -4

Duration -38 mins

4.4 ★★★★ ★

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Course Description

Are you looking to deploy a Node.js (Express) application on Docker and an Amazon Web Services (AWS) Linux EC2 instance?

In this tutorial, we'll show you how to do just that using the Amazon Elastic Container Registry (ECR).

We'll walk you through the steps to set up an AWS environment. Whether you're a beginner or an experienced developer,

this video will provide you with all the tools you need to get your Node.js app up and running on the cloud.

Don't forget to like and comment if you found the tutorial helpful, and subscribe to our channel for more AWS and Node.js tutorials!

See how to deploy node.js (Express) application on Docker & Amazon Web Linux EC2 instance via Amazon ECR.

Make sure to delete AWS used service to avoid billing.

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Post this project on github, youtube, freelancer add in linkedin with youtube link,git link

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Goals

Students will get hands on for AWS ECR
How to deploy nodejs on AWS via ECR
Practical approach by sharing code, live coding
Intro to AWS

Prerequisites

Basic knowledge of docker container and AWS

Curriculum

Check out the detailed breakdown of what’s inside the course

Node.js Application Setup locally
1 Lectures

Introduction 06:35 06:35

Node.Js Application setup on Docker container
1 Lectures

Setup AWS ECR
1 Lectures

Setup AWS EC2, connect ECR run application
1 Lectures

Instructor Details

Omkar Chandrakant Kuchekar

I am a highly skilled DevOps Engineer with over 5+ years of experience in designing, implementing, and maintaining cloud-based infrastructure for enterprise applications. My expertise lies in creating automation workflows, building CI/CD pipelines, and deploying scalable applications on AWS.

Overall 10+ years of experience in the IT industry.

I have a strong foundation in AWS and have worked extensively with services like EC2, S3, RDS, Lambda, and Cloud Formation. I also have experience with Terraform for infrastructure as code and have used it to create and manage cloud infrastructure for various projects.

Designed and implemented RESTful APIs using Python. Also created AWS Lambda functions using Python.

Integrated third-party APIs to enhance application functionality and data exchange.

Deployed applications using Docker containers and managed cloud-based infrastructure.

Participated in code refactoring and optimization to improve performance and scalability.

Skills:

Cloud Infrastructure: AWS (EC2, S3, RDS, Lambda, Cloud Formation, EKS )

Automation: Ansible, Vagrant

CI/CD: Jenkins, GitLab CI/CD

Monitoring: Prometheus, Moogsoft

Programming languages: Python, Bash

Operating Systems: Windows, Linux (Ubuntu, CentOS, Red Hat)

Automation Tools: Docker, Terraform, Kubernetes

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