CloudDTE Architecture & Technical Specifications
Technical Specifications & Architecture Overview
CloudDTE is a fully automated on-premise Kubernetes platform designed to provide cloud-like Dev/Test capabilities inside the enterprise datacenter.
It follows a hybrid topology combining VMware-hosted control plane nodes with bare-metal worker nodes for maximum flexibility and performance.
At its core, CloudDTE integrates:
- Kubernetes orchestration for container workloads
- Helm-based automation for service deployment
- Jenkins pipelines for CI/CD and environment provisioning
- Open-source observability stack (Grafana, Kibana, Prometheus)
- Secure networking and storage layers (OpenELB, OpenEBS, NFS)
System Design
CloudDTE operates using a multi-node architecture with clear separation of control, data, and monitoring layers.
| Layer | Components | Description |
|---|---|---|
| Control Plane | API Server, Scheduler, Controller Manager, etcd | Coordinates the cluster and manages the desired state. |
| Worker Nodes | Kubelet, Kube-Proxy, Pods | Execute workloads, applications, and user deployments. |
| Networking Layer | Nginx Ingress, OpenELB | Provides load balancing and ingress control for external access. |
| Storage Layer | NetApp NFS, OpenEBS | Persistent and dynamic storage for stateful workloads. |
| Observability | Prometheus, Grafana, Kibana, AlertManager | Collects metrics, logs, and alerts across the platform. |
| Security & Access | RBAC, Cert-Manager, Vault | Ensures fine-grained user control and automatic SSL certificate management. |
Hardware & Software Stack
Control Plane (VMware / Virtual Machines)
- CPU: 4 vCPU @ 2.4 GHz
- Memory: 32 GB
- Disk: 20 GB
- OS: RockyLinux 10
- Role: Cluster management, API gateway, Jenkins CI/CD
Worker Nodes (Bare Metal Servers)
- CPU: 64 vCPU @ 3.0 GHz (Intel Xeon)
- Memory: 512 GB
- Disk: 1 TB NFS (External Storage)
- Role: Application deployment, Helm releases, monitoring, storage services
Installed Software Versions
| Component | Version |
|---|---|
| Kubernetes | 1.24.3 |
| Docker | 1.13.1 |
| Helm | 3.9.2 |
| Python | 3.6 |
| Prometheus Stack | 39.11.0 |
| Elasticsearch | 7.17.3 |
| Grafana | 8.x |
| Jenkins | Latest LTS |
Deployment Automation
CloudDTE uses Jenkins pipelines and Helm Charts to dynamically deploy or tear down Dev/Test environments.
Automated Flow:
- Jenkins Job triggers namespace creation per project.
- Helm Templates define infrastructure and application services.
- CLI Utilities handle user provisioning, kubeconfig generation, and access management.
- NFS Integration supports data persistence (S3-compatible).
- Monitoring Stack is auto-deployed per environment for performance visibility.
Developer Workflow
Monitoring & Observability
CloudDTE comes with a built-in observability suite for full-stack visibility:
- Prometheus – Metrics and time-series database
- Grafana – Interactive dashboards for DevOps and SRE teams
- Kibana + Elasticsearch – Centralized logging and search
- AlertManager – Notification routing and alert deduplication
Example visualizations include:
- Cluster health metrics (CPU, memory, network usage)
- Application-level dashboards (namespace performance, response latency)
- Log correlation and alerting per project
Security & Access Management
Security is embedded at every layer:
- RBAC controls access to namespaces and workloads
- Cert-Manager automates SSL certificates
- Vault manages credentials and secrets securely
- Namespace Isolation ensures team-level separation
- Restricted Shell Access for limited user permissions
CloudDTE integrates with Active Directory / LDAP and supports API tokens for automation.
Networking & Load Balancing
Traffic management is handled by:
- Nginx Ingress Controller for HTTP/S routing
- OpenELB for external load balancing on bare-metal networks
- Calico / Flannel for internal pod networking
Features include:
- SSL termination
- Path and host-based routing
- Multi-tenant network segmentation
Future Expansion
Planned enhancements to extend CloudDTE’s capabilities:
- Integration with ArgoCD for GitOps workflows
- Jaeger and Tempo tracing for microservices
- Loki for lightweight log aggregation
- AI-based anomaly detection for Dev/Test pipelines
- Support for Hybrid Cloud bursting into Azure or AWS
Summary
CloudDTE provides a complete Kubernetes-based Dev/Test infrastructure that merges the speed of cloud deployment with the control of on-premise systems.
It’s engineered for scalability, compliance, and efficiency — giving DevOps and R&D teams an EKS-like experience inside their own data center.
“Your private cloud — automated, observable, and built for innovation.”