Project Aether: Building an AI-Native IaC Tool From a Secure FoundationIn the last update, we had a feature-complete CLI and a powerful 7B parameter model ("Aether-Pro"). However, its performance on standard hardware was a concern. This week's journey was a deep dive into solving this by creating a smaller, faster "Aeth...Aug 9, 2025·3 min read
SpendSense: From Concept to CI/CD - Building a Full-Stack Cloud Optimizer Energy-Efficient DevOps: Auto-Suspending Idle AWS Resources using MLJul 22, 2025·6 min read
Further worked on my Project on Energy-Efficient DevOps: Auto-Suspending Idle AWS Resources using MLWeek 3 Update - Flask Frontend + Ansible Deployed Monitoring for Cloud Budget Optimizer Objective:Building a fully functional web interface for AWS usage optimization with secure user authentication, key storage, and a monitoring dashboard via Promet...Jul 15, 2025·3 min read
# Started my Project on Energy-Efficient DevOps: Auto-Suspending Idle AWS Resources using ML Week 3 – Monitoring Stack + Flask Frontend + SSH/WSLObjective: Building a proper user interface to use AWS credentials, then monitor everything with Prometheus and Grafana, deployed via Ansible. What I Did This Week: Built Full Frontend Stack (Flask + DynamoDB) Since S3 isn’t ideal for user data (espe...Jul 7, 2025·4 min read
Started my Project on Energy-Efficient DevOps: Auto-Suspending Idle AWS Resources using MLWeek 2 – Rebuilding Infra with Terraform + S3 Backups Objective: This week, I focused on phasing out the old manually created EC2 instances and moving to a cleaner, automated setup using Terraform and Ansible. But before wiping anything, I made sure ...Jul 3, 2025·3 min read
Started my Project on Energy-Efficient DevOps: Auto-Suspending Idle AWS Resources using MLWeek 2– Automation Phase (Auto-Suspend Script Deployment) Objective: To automate EC2 instance suspension when the machine learning model predicts an idle state, using boto3, instance metadata, and cron jobs. What I Did Today: Transferred Trained Mod...Jul 2, 2025·3 min read
Started my Project on Energy-Efficient DevOps: Auto-Suspending Idle AWS Resources using MLWeek 2 – ML Modeling Phase (Log Extraction & Model Training) Objective: To extract the logged CPU and workload data from the EC2 instance, preprocess it, label idle/active states, and train a machine learning model to detect idle periods. What I Did...Jul 1, 2025·3 min read
Started my Project on Energy-Efficient DevOps: Auto-Suspending Idle AWS Resources using MLWeek 1 – Setup Phase (Problems & Progress) Objective To simulate periodic DevOps workloads on the EC2 instance using cron and stress commands, and begin logging CPU usage every minute to generate time-series data for future machine learning model tr...Jun 28, 2025·3 min read