Issue #212 - Atmos, Serverless AI Telegram Chatbot, Terragrunt, Custom Policies with Checkov, Compliance as Code, Google Cloud Armor Analytics, FinOps Guardian

Zachary Loeber introduces Atmos, a tool that simplifies Terraform management by enabling configuration-driven workflows and improved organization. The article explores its benefits, including stack-based deployments, reusable configurations, and streamlined infrastructure automation.

Volodymyr Marynychev demonstrates how to build a serverless AI chatbot by integrating OpenAI with Telegram using AWS services. The article covers setting up Lambda functions, API Gateway, and DynamoDB to create a scalable and cost-effective chatbot solution.

Yousif Akbar discusses how Terragrunt and OpenTofu complement each other to enhance Terraform workflows with better automation, maintainability, and flexibility. The article highlights key integrations, including dependency management, remote state handling, and improved modularity.

Massimiliano Riva explains how to write custom compliance policies in Python using Checkov to enforce security and best practices in infrastructure as code. The article covers key steps, including setting up a custom policy, integrating it into CI/CD pipelines, and automating security checks.

Vid Bregar explains how to enhance security and observability in Google Cloud by integrating Cloud Armor with Load Balancing and leveraging custom dashboards for analytics. The article covers setting up security policies, monitoring traffic patterns, and using BigQuery and Looker Studio for advanced threat analysis.

AWS Terraform module integrates an OpenAI assistant into a Telegram chatbot. AB: Read the post above.

AWS & GCP FinOps Tools: GCP Organization Recommender (a serverless solution to monitor and receive GCP recommendations across your organization), AWS Resource Cleanup (an automated solution for cleaning up unused AWS resources across multiple regions).