The Alert Management System is an advanced cloud computing project that combines Anomaly detection and Log aggregation, built with Loki. The project follows a cloud-native architecture where resources are provisioned, scaled, and managed as code, making it reliable, cost-effective, and easy to reproduce. It showcases professional cloud engineering techniques while delivering a complete, demo-ready platform.
Managing this workload on traditional infrastructure is slow, expensive, and hard to scale. Without a cloud platform built on Log aggregation and Loki, there is no automated, resilient, and pay-per-use way to run the service reliably for growing demand.
This project applies advanced cloud engineering practices through Anomaly detection, orchestrated with Loki and Log aggregation. The system is designed for automation, observability, and cost control, with security and resilience built in. It delivers consistent, scalable results and can be extended to additional cloud services and regions.
Loki
Prometheus
AWS / Azure / GCP
Docker / Kubernetes
Terraform / IaC
Serverless services
Monitoring and CI/CD
Grafana
ELK Stack
Cloud-native system with Anomaly detection and Log aggregation
Automated provisioning and scaling on demand
Observability with metrics, logs, and alerts
Security controls, encryption, and access management
Reusable cloud modules for related features
Cost-aware, documented, maintainable cloud architecture
The system follows a cloud-native architecture: the compute layer runs Anomaly detection; the orchestration and logic layer uses Loki and Log aggregation; and the data and storage layer persists state via Dashboards. Shared IaC, security, and observability modules support all layers, keeping the platform automated, resilient, and easy to extend.
Set up cloud account, project, and infrastructure as code.
Provision core resources and networking for Anomaly detection.
Implement the workload logic using Loki and Log aggregation.
Add the data and storage layer via Dashboards.
Wire up automation, monitoring, and cost controls.
Test scaling, failures, and security, then refine.
Document the architecture, run a demo, and prepare the viva report.
Architect cloud-native, scalable systems
Apply Log aggregation and Distributed tracing
Provision infrastructure with automation
Secure, monitor, and optimize cloud workloads
Present and defend a complete cloud project in viva
Add multi-cloud and hybrid deployment
Introduce advanced AI and analytics on the platform
Add disaster recovery and global replication
Optimize cost with predictive autoscaling
The Alert Management System delivers a complete, production-grade cloud platform — from automated infrastructure to secure, scalable services and observability. It is practical, cost-effective, and easy to explain, making it an excellent final year project that demonstrates advanced cloud computing skills.
