This project implements an agentic app using Magentic Orchestration from Semantic Kernel deployed on Azure Kubernetes Service. The system receive alerts from Azure Monitor to automatically diagnose and resolve AKS cluster issues, demonstrating how AI agents enhance Kubernetes operations.
Springboard Open Ended Capstone
Utlised Azure services to orchestrate earthquake daily data pipeline from USGS, consisting of last 7 days of data. Data was transformed and loaded into Azure SQL database and finally Tableau dashboard was made.
📦 Azure Monitor integration with OpenTelemetry via "@distributed_trace" annotation 🔍
APM with Azure Application Insights & Django + rest framework
A python logger class for Azure using OpenCensus sdk
Developed a cloud cost optimization solution using Azure Monitor and AWS CloudWatch to track resource usage and implement cost-saving measures. The project automates scaling and alerts to ensure efficient cloud infrastructure management.
Developed a serverless application using AWS Lambda and API Gateway to provide scalable and cost-efficient solutions, reducing infrastructure management overhead. Implemented real-time data processing and event-driven workflows to enhance application performance.
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