Cloud Costs Analyst – AI-Powered Chat Interface for Cloud Spend Intelligence

This project is Phase 2 of the Cloud Costs Monitor platform. Where Phase 1 focused on automated data collection, anomaly detection, and scheduled reporting, Phase 2 adds a real-time conversational interface: users open a browser, type a question like “What did the team X spend on cloud Y last quarter?”, and the system autonomously writes and executes the SQL, verifies the numbers, and returns a grounded answer — all within seconds. ...

April 24, 2026 · 6 min · 1101 words · Dmitry Konovalov

Cloud Costs Monitor – Multi-Cloud Cost Management System

This project is a self-hosted, multi-cloud cost management system for AWS, Azure, GCP, and Kubernetes (via a third-party cost attribution platform) that I designed and built from scratch. It runs daily to collect granular cost line items at the service × region × account level, detects spend anomalies, sends configurable alerts, and produces a rich suite of reports in HTML, Excel, and PDF — from executive summaries and rolling-window trend views to per-owner and per-department drilldowns and an annual budget tracker. All data is stored locally in a local database, keeping the system lightweight and self-contained with no external SaaS dependencies. ...

April 7, 2026 · 7 min · 1319 words · Dmitry Konovalov