This project equips learners with the skills to deploy a production-ready, containerized Java application into a highly available, highly scalable AWS infrastructure. This project offers learners a comprehensive understanding of deploying containerized applications in a robust and cloud-native environment. The separation of production and staging environments reinforces best practices in deployment strategies and application lifecycle management.
The integration of Jenkins, Nexus, and Docker provides a practical workflow for modern CI/CD pipelines. Learners acquire the skills to automate builds, store artifacts securely, and deploy containerized applications efficiently. With tools like SonarQube and Trivy, they also gain essential knowledge in enhancing application and container security, preparing them to meet industry standards.

Tech Stack Used: AWS Infrastructure, Ansible, Jenkins, SonarQube, Nexus, Docker, Terraform, Checkov, OWASP, Trivy, Newrelic

This project equips learners with the skills to deploy a production-ready, containerized Java application into a highly available, highly scalable AWS infrastructure while implementing a disaster recovery mechanism. The infrastructure is configured with separate auto-scaling groups for production and staging environments, ensuring flexibility and reliability. Advanced tools and DevOps practices are utilized to manage every stage of the development lifecycle, from artifact storage to security scanning and continuous integration/deployment.
Disaster recovery is a key feature of this project. Learners will create and schedule an instance discovery bash script as a cron job on an Ansible instance. This script ensures that any newly provisioned instances are detected and configured automatically by executing a deployment playbook. This enhances resilience and ensures business continuity in the face of unexpected failures.

Tech Stack Used: AWS Infrastructure, Ansible, Jenkins, SonarQube, Nexus, Docker, Terraform, Bash Scripting, Checkov, OWASP, Trivy, Newrelic

This project involves deploying a microservice-based application into a highly available and scalable Kubernetes cluster set up via kubeadm on AWS. The architecture is designed with a robust, fault-tolerant approach to ensure seamless operation under various conditions. The cluster consists of three master nodes and three worker nodes deployed in private subnets within a Virtual Private Cloud (VPC) for enhanced security.
Access to the cluster is managed via a bastion host and two HAProxy servers, which provide load balancing for the Kubernetes master nodes. This dual HAProxy setup is configured with Keepalived to ensure failover and failback functionality, eliminating single points of failure. Ansible is employed for configuration management and automating application deployment, while Jenkins is used to create a CI/CD pipeline for efficient development and delivery workflows.

Tech Stack Used: Kubernetes, Docker, AWS Infrastructure, HAProxy, Keepalived, Ansible, Jenkins, Terraform, Helm, Prometheus, Grafana, Slack Notification

This project guides learners through deploying a cloud-native microservices-based e-commerce application into a Kubernetes cluster on AWS. The Kubernetes cluster is created and managed using Kops, an open-source Kubernetes operations tool. The deployment process is automated using ArgoCD, a declarative GitOps tool, and Istio service mesh is implemented for traffic management, security, and observability. This project gives learners a comprehensive understanding of deploying, managing, and monitoring microservices in a Kubernetes environment with advanced DevOps tools.

Tech Stack Uses: AWS Infrastructure, Kubernetes, Kops, ArgoCD, Istio, Nginx Ingress, Prometheus, Grafana, Fluentd, Docker, Jenkins, GitHub, Helm, Slack Notification