🔘 This project demonstrates the deployment and management of microservices using Istio's service mesh, leveraging tools such as Kiali, Jaeger, and Grafana for monitoring and tracing. Google's microservices-demo GitHub repository was utilized as the base for the microservices deployment.

- 💡 Content and Key features of the project

• 🌀 Microservices Deployment:
  • 🟡 Deployed microservices using Google's microservices-demo repository on Istio service mesh.
• 🌀 Service Mesh Management:
  • 🟡 Managed the service mesh with Kiali for visualization.
• 🌀 Monitoring & Tracing:
  • 🟡 Integrated Jaeger for distributed tracing and Grafana for monitoring the services.

🔘 This project involves developing, deploying, and managing a web application to manipulate Docker APIs. The application includes JWT-based security, CI/CD pipelines using Jenkins, and automated deployment with GitOps and ArgoCD. Infrastructure was provisioned using Terraform, and the application was monitored with Prometheus and Grafana.

- 💡 Content and Key features of the project

• 🌀 Web Application for Docker API Manipulation:
  • 🟡 Developed a web application for Docker API manipulation, secured with JWT.
• 🌀 Containerization & Orchestration:
  • 🟡 Created Dockerfiles and Kubernetes manifests for deployment on Minikube.
• 🌀 CI/CD Pipelines:
  • 🟡 Implemented CI/CD using Jenkins, integrated with SonarQube and Trivy for security scanning.
• 🌀 Infrastructure Provisioning:
  • 🟡 Utilized Terraform for Infrastructure as Code to provision a VM on Azure.
• 🌀 Monitoring & GitOps:
  • 🟡 Implemented GitOps practices using ArgoCD and monitored the application using Prometheus and Grafana.

🔘 This project demonstrates a generative AI-based therapy application for anxiety management, developed in collaboration with psychotherapists. The app integrates therapeutic models with AI-powered chatbots to provide interactive, personalized care. It leverages Flutter for cross-platform mobile development and Azure OpenAI API for chatbot interaction, ensuring smooth and scalable deployments using AKS.

- 💡 Content and Key features of the project

• 🌀 AI-Powered Therapy:
  • 🟡 Developed in collaboration with psychotherapists for domain-specific requirements.
  • 🟡 Integrated Azure OpenAI API to enhance patient interaction through a chatbot.
• 🌀 Cross-Platform Development:
  • 🟡 Built with Flutter and Dart for seamless operation on both Android and iOS platforms.
  • 🟡 Firebase was used for reliable backend services.
• 🌀 Scalable Infrastructure:
  • 🟡 Containerized the chatbot with Docker and developed Kubernetes deployment manifests.
  • 🟡 Deployed on Azure Kubernetes Service (AKS) for high availability and scalability.
• 🌀 Version Control:
  • 🟡 Managed project development and teamwork with Git and GitHub.

🔘 This project focuses on implementing a full DevOps pipeline using Tekton on OpenShift. It includes automated CI/CD processes, manual Kubernetes deployments, and security enhancements to a Flask-based RESTful service developed using Test-Driven Development (TDD).

- 💡 Content and Key features of the project

• 🌀 Sprint Planning and Task Management:
  • 🟡 Utilized ZenHub's kanban board for efficient sprint planning and task tracking.
• 🌀 Test-Driven Development:
  • 🟡 Developed a RESTful service using Flask, following TDD practices.
• 🌀 Continuous Integration & Security:
  • 🟡 Integrated GitHub Actions for CI and security checks.
• 🌀 Kubernetes Deployment:
  • 🟡 Containerized the Flask application and manually deployed it to Kubernetes and OpenShift clusters.
• 🌀 Continuous Deployment with Tekton:
  • 🟡 Built an automated CD pipeline using Tekton on OpenShift for efficient deployments.