Hey there! This is Rahul. In this video, let’s discuss how to generate broadgrid Terraform code using the power of charge GBT. We’ll dig into creating an entire AWS architecture using the power of strategy. So, without wasting any further time, let’s get started.
To begin, we’ll create a VPC with three subnet groups: one for the public servant group, one for the server set, and one for the databases. We’ll also set up an internet gateway and a NAT gateway for accessing the internet. The NAT gateway will automatically connect to our internet gateway, allowing our private servers to have access to the internet as well.
Next, we’ll use charge GBT to generate the Terraform code for us. Charge GBT will prompt us with questions related to the attributes of the prompt. We need to answer these questions as specifically as possible based on our AWS architecture.
Once we’ve answered all the questions, charge GBT will generate the Terraform code for us. It will create the VPC, subnets, NAT gateway, elastic IP, route table, and required routes, including the internet gateway.
However, there is a mistake in the code. We prompted charge GBT to create three subnet groups spanning across three availability zones, but it only created three subnets. We’ll fix this by tweaking the prompts and clarifying a few things with the AI.
After a few adjustments, charge GBT generated the corrected code. It defines the provider, VPC, enables DNS for our instances, creates an internet gateway, and defines suffixes for the subnets. It then creates subnets in all three availability zones for the different types of servers.
Finally, charge GBT outputs the code to create the subnet groups, route tables, and associates the public subnets with the internet gateway. It also prints the output for our PCID.
That’s it! You can see the power of charge GBT in generating broadgrid Terraform code for AWS architecture. If you want to apply it, install and update your AWS credentials, and then run terraform plan followed by terraform apply. Everything should work as expected.
This is a production-grade AWS architecture deployment using Terraform. Thank you for watching!
