deepasunny/devops-projects

1. This repository is a portfolio-style monorepo, not one single application. The top level contains many independent DevOps/cloud projects (DevOps-Project-01 through 39), each with its own app code, infrastructure, and delivery workflow. A correct architecture diagram should treat each project as a separate island rather than one shared system.

2. The common pattern across projects is: application source code, container/image packaging, infrastructure-as-code, and deployment manifests or pipeline definitions. Most projects also include local tests and environment-specific configuration, so the repo is organized around “build once, deploy to a target platform” rather than a shared runtime.

3. Application runtimes vary by project. The repo includes Java/Spring Boot web apps, JSP-based legacy Java apps, Python/Django, .NET/ASP.NET Core, Node/Express APIs, React/Vite and Next.js frontends, static HTML/JSP sites, Android apps, and a serverless Node.js API. These are independent implementations that demonstrate different delivery pipelines and hosting targets.

4. The main infrastructure boundary is cloud provisioning via Terraform and related IaC. Several projects define reusable modules for network, security, load balancing, auto scaling, databases, registries, identity, and observability. The diagrams for these projects should show Terraform as the control plane that creates cloud resources, not as part of the application runtime.

5. AWS-focused projects typically model a classic 3-tier or platform stack: VPC, security groups/IAM, EC2 or EKS, RDS, ALB/Route53/WAF/CloudFront, and sometimes Jenkins or S3-backed state. The Java login app is a good example of an EC2/RDS-style architecture with separate network, app, database, and monitoring modules.

6. Azure-focused projects center on VNet, AKS, ACR, Log Analytics, Application Insights, and Key Vault. In those labs, the application is usually containerized and deployed to Kubernetes, while Terraform provisions the cluster, registry, network, and supporting observability/security services.

7. Kubernetes is a major deployment boundary in the repo. Multiple projects ship Kubernetes YAML, Helm charts, ingress/service definitions, secrets, namespaces, and HPA configs. In diagram terms, the app usually runs inside a cluster with an ingress edge, service abstraction, and separate backing services such as databases or message endpoints.

8. CI/CD is represented by several orchestration tools rather than one standard pipeline. There are Jenkinsfiles, GitHub Actions workflows, Azure DevOps YAML pipelines, GitLab CI, CodeDeploy/AppSpec files, and CodeBuild-style buildspecs. These pipelines typically move code from source control to build/test, then to container registry or artifact storage, and finally to EC2/Kubernetes/static hosting.

9. Packaging and runtime delivery are mostly container-based for modern projects. Dockerfiles appear across the Java, .NET, Node, Python, and React applications, and some projects also include Docker Compose for local multi-service runs. In diagrams, Docker is the build artifact boundary between source and deploy target.

10. Data stores and supporting services are application-specific, but the common ones are RDS-backed relational databases, SQLite for simple Django demos, Redis for caching, and AWS Service Bus in one Terraform example. Some apps use local seed SQL or in-memory/test databases for development and automated tests.

11. Observability and validation are explicit architecture concerns in several projects. The repo includes CloudWatch-related material, Azure Application Insights/Log Analytics, InSpec infrastructure tests, Sonar configuration, JMeter tests, and application-level health/monitoring pages. These pieces belong outside the request path but inside the delivery/operations boundary.

12. Security and identity are also first-class in the cloud setups. IAM roles/policies, Kubernetes RBAC, Key Vault/secret manifests, security groups, WAF, TLS/certificates, and OIDC integration show up in multiple projects. A diagram should show secrets and permissions as separate support layers, not embedded in the app.

13. One useful way to diagram the repo is as a set of repeated patterns: source repository → CI/CD pipeline → build artifact/container → infrastructure provisioning → runtime platform → data/observability services. The exact cloud and app technologies change by project, but that lifecycle structure is consistent across the repository.