AutoCodeWizard: Effortless CloudBolt CMP Blueprint Generation for AWS S3 Buckets
🚀 Welcome to our second video on AutoCodeWizard, the AI-powered tool that generates Python CloudBolt CMP Blueprints with ease! In this video, we take things a step further by automating the creation of an AWS S3 bucket using CloudBolt CMP. I'll guide you through the entire process—from setting up the initial prompt to generating production-ready code that connects to AWS, creates the S3 bucket, and assigns a CustomField for bucket size. 💻
What You'll Learn:
How to structure prompts for CloudBolt CMP Blueprint generation.
Using AWS boto3 API to interact securely with AWS resources.
Handling common challenges like CustomField assignments and AWS region quirks.
Demo of AutoCodeWizard in action, creating an S3 bucket in CloudBolt CMP.
Whether you're a cloud automation expert or just getting started, this video is packed with insights to help you streamline your cloud workflows. Don’t miss out—be sure to watch until the end to see how AutoCodeWizard’s new Code Script Reviewer feature helps optimize your code! 🔥
🔗 Try AutoCodeWizard for yourself: https://autocodewizard.com 📖 Read the full blog post here: https://autocodewizard.com/blog 👉 Like, subscribe, and leave a comment if you have questions!
Here is the prompt if you wanted to try it:
Generate a Python CloudBolt CMP Blueprint using the following inputs: bucketName, rhName, bucketSize.
Within the Blueprint, connect to my AWS ResourceHandler identified by the rhName and get the Environment associated with it (there is only one), and retrieve the aws_region from that CMP Environment. Make an API connection to AWS using boto3 with the CMP ResourceHandler credentials and create an S3 bucket of the size specified by bucketSize in GB. Check if a CMP CustomField named aws_s3_bucketsize exists, and if not, create it. Finally, assign the aws_s3_bucketsize CustomField to the newly created CMP Resource with the specified bucketSize
#AutoCodeWizard #CloudAutomation #CloudBolt #AWS #CMP #BlueprintGeneration"
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AutoCodeWizard: Effortless CloudBolt CMP Blueprint Generation for AWS S3 Buckets
🚀 Welcome to our second video on AutoCodeWizard, the AI-powered tool that generates Python CloudBolt CMP Blueprints with ease! In this video, we take things a step further by automating the creation of an AWS S3 bucket using CloudBolt CMP. I'll guide you through the entire process—from setting up the initial prompt to generating production-ready code that connects to AWS, creates the S3 bucket, and assigns a CustomField for bucket size. 💻 What You'll Learn: How to structure prompts for CloudBolt CMP Blueprint generation. Using AWS boto3 API to interact securely with AWS resources. Handling common challenges like CustomField assignments and AWS region quirks. Demo of AutoCodeWizard in action, creating an S3 bucket in CloudBolt CMP. Whether you're a cloud automation expert or just getting started, this video is packed with insights to help you streamline your cloud workflows. Don’t miss out—be sure to watch until the end to see how AutoCodeWizard’s new Code Script Reviewer feature helps optimize your code! 🔥 🔗 Try AutoCodeWizard for yourself: https://autocodewizard.com 📖 Read the full blog post here: https://autocodewizard.com/blog 👉 Like, subscribe, and leave a comment if you have questions! Here is the prompt if you wanted to try it: Generate a Python CloudBolt CMP Blueprint using the following inputs: bucketName, rhName, bucketSize. Within the Blueprint, connect to my AWS ResourceHandler identified by the rhName and get the Environment associated with it (there is only one), and retrieve the aws_region from that CMP Environment. Make an API connection to AWS using boto3 with the CMP ResourceHandler credentials and create an S3 bucket of the size specified by bucketSize in GB. Check if a CMP CustomField named aws_s3_bucketsize exists, and if not, create it. Finally, assign the aws_s3_bucketsize CustomField to the newly created CMP Resource with the specified bucketSize #AutoCodeWizard #CloudAutomation #CloudBolt #AWS #CMP #BlueprintGeneration"
Autocodewizard.com - latest enhancements
In this video we go through 3x of the latest enhancements for https://autocodewizard.com Folders Github Integration Script Reviews Autocodewizard customers with more than the free account, can add folders and store their code by project, language or whatever system they want to. Fully Github integrated, code can now be pushed to a Github repository or pulled from it for review. The Script Review system allows for AI to fix code or review it and suggest improvements all from the one system. If you like this and would like to see more improvements to the system, please do drop us a comment.