Create AWS Application load balancer in public subnet, with Auto-Scaling group which is in Private Subnet using Terraform. In this video I have demonstrated how to setup AWS Application load balancer with Auto-Scaling group and its related components using Infrastructure as a code tool i.e. Terraform.
Chapters:
0:00 Introduction
0:22 Architecture
2:42 Steps to follow
4:01 VPC Recap
7:50 Create Security Group (Step -1)
12:58 Create ALB (Step -2)
19:45 Create Auto-Scaling group (Step -3)
27:39 Apply Terraform IaC
GitHub Link : github.com/kodedge-swapneel/t...
For Lecture 5 (Current lecture) : github.com/kodedge-swapneel/t...
AWS VPC using Terraform : • 4. Create AWS VPC with...
Subscribe on : / @kodedge
If you like the video please subscribe and comment.
Tags;
AWS project
AWS Application Load balancer
AWS auto-scaling group
Infrastructure as a code (IaC)
----------------------------------
Disclaimer/Policy:
- Video is intended for educational purposes only and explanations about technical topics.
- We make every effort to ensure the accuracy of the information presented, but we cannot guarantee that all information is current or entirely free from errors.
- Viewers are encouraged to exercise their own judgment and consider their unique circumstances when applying the information from this video.
- Mention of specific products, services, or brands in this video does not constitute an endorsement unless otherwise specified.
- By accessing and using the information presented in this video, viewers agree to do so at their own risk, and we shall not be liable for any damages or losses.
- All logos and images used in this video are the property of their respective copyright holders. Any copyrighted material is used here for educational purposes only.
- Our use of logos and images is not intended to challenge or infringe upon the rights of the copyright holders, and we acknowledge their ownership
- The inclusion of logos and images is for non-commercial, educational purposes only.
#terraformtutorial #terraformwithaws #kodedge