Baremetal Kubernetes Cluster Implementantion Using Talos Linux
Project Summary
This project will repurpose existing servers in the Computer Laboratory to create a prototype environment to deploy different containered applications. This prototype will support various projects by providing scalable infrastructure, managed via Kubernetes (K8S) and give and relatibly easy to use mechanism to deploy applicatons for users with no experience in k8s. The project will also include a Spike to test and evaluate Talos Linux viability and test tools for basic deployments and git operations.
Project Objective
The primary objective is to set up a Kubernetes-based cluster on existing laboratory servers, enabling the deployment, scaling, and management of containerized applications. The system will serve as a prototype environmet for other academic projects. A Spike with virtual machines insted of baremetal will be conducted to evaluate the viabilty of the project and a way for the team members put in practice their recently acquired knowlage and test diferent configurations before going to the final hosts.
Team Structures
Project Leader
Name: @GabrielEValenzuela
Role: Oversees the project execution, ensuring that the Kubernetes clusters are correctly configured, and CI/CD pipelines are optimized. Leads the Spike evaluation and coordinates with team members to resolve technical challenges.
Sr. Engineers
Name: @FaustoLavezzari @Aquiles2001
Role: Senior engineer providing technical guidance, especially in the areas of Kubernetes setup, Docker configuration, and CI/CD best practices. Leads the technical aspects of the Spike.
Team Members
Name: [Carlos Martínez]
Role: DevOps Engineer
Responsibilities: Responsible for setting up the Kubernetes clusters, configuring the servers, and implement basic services for deployment and administation. Participates in the Spike to evaluate the OS and tools
Stakeholders
School of Computer Engineering, UNC: Aims to enhance the computational infrastructure for research and academic purposes, providing students and faculty with a scalable and maintainable environment.
Computer Department: Interested in deploying a robust infrastructure that can support various academic and research projects.
Work Breakdown Structure (WBS)
Major Deliverables
Deliverable 1: Research and Planning
Deliverable 2: Spike: OS and Tool Evaluation
Deliverable 3: Kubernetes Cluster Setup
Deliverable 4: Basic tools for deployment with gitops implementation
Deliverable 6: Documentation and Training
Deliverable 7: Final Deployment and Handover
Work Packages
Work Package 1.1: Conduct initial reserch and practice in general containers concepts
Work Package 1.2: Conduct initial reserch and practice in kubernetes usage with minimal local clusters
Work Package 1.2: Conduct initial reserch and practice in kubernetes architecture
Work Package 2.1:Spike: Implement a minimal 3 nodes kubernetes cluster in a VM environment using Talos Linux and a a first aproximation of apps deployment with gitops tools. (ArgoCD, Github Actions, etc)
Work Package 3.1: Deploy and configure the Kubernetes cluster, including setting up nodes, load balancers, and network policies in the barametal servers.
Work Package 4.1: Implement the deployment mechanism on the real cluster.
Work Package 5.1: Implement security measures, including RBAC, network policies, and secret management. Conduct security audits.
Work Package 6.1: Develop documentation and training materials for the cluster setup and pipeline configurations. Provide training to relevant stakeholders.
Work Package 7.1: Perform final testing, deploy the system in a production environment, and complete the handover to the IT department.
Milestones
Milestone 1: Complete Research and Planning - Due: [Date]
Milestone 2: Spike Results and Decision - Due: [Date]
Risk 1: Delays in the Spike due to complexity in evaluating or implementig the OS.
Risk 2: Integration challenges between the OS, CI/CD pipelines, and Kubernetes.
Risk 3: Security vulnerabilities due to misconfiguration or unpatched software.
Risk Mitigation Strategies
Risk 1 Mitigation: Allocate sufficient time and resources for the Spike, and involve experienced personnel in the evaluation process.
Risk 2 Mitigation: Perform incremental testing and integration to ensure smooth operation. Use established CI/CD tools known for Kubernetes compatibility.
Risk 3 Mitigation: Regularly update software, conduct thorough security audits, and follow best practices for Kubernetes security.
Quality Assurance
Quality Standards
Standard 1: The system must meet industry-standard practices for Kubernetes
Standard 2: Security configurations must pass relevant security audits
Testing and Validation
Cluster Testing: Ensure high availability, load balancing, and failover capabilities.
Deployment Testing: Validate the apps deployment mechanism with multiple test scenarios to ensure reliability.
Security Validation: Perform comprehensive security testing, including penetration testing and vulnerability scanning.
Communication Plan
Reporting
Weekly Reports: The project leader and senior engineers will provide updates on progress, discuss risks, and highlight upcoming milestones.
Meetings
Team Meetings: Weekly, to review progress, discuss challenges, and align on next steps.
Approval
Project Approval
This section is for final approval of the project by the core team:
Approval Status: Approved
Approved By: [TBD]
Approval Date: [Date]
Additional Notes
Include any other relevant information or considerations for the project.
Project Overview
Project Name
Baremetal Kubernetes Cluster Implementantion Using Talos Linux
Project Summary
This project will repurpose existing servers in the Computer Laboratory to create a prototype environment to deploy different containered applications. This prototype will support various projects by providing scalable infrastructure, managed via Kubernetes (K8S) and give and relatibly easy to use mechanism to deploy applicatons for users with no experience in k8s. The project will also include a Spike to test and evaluate Talos Linux viability and test tools for basic deployments and git operations.
Project Objective
The primary objective is to set up a Kubernetes-based cluster on existing laboratory servers, enabling the deployment, scaling, and management of containerized applications. The system will serve as a prototype environmet for other academic projects. A Spike with virtual machines insted of baremetal will be conducted to evaluate the viabilty of the project and a way for the team members put in practice their recently acquired knowlage and test diferent configurations before going to the final hosts.
Team Structures
Project Leader
Sr. Engineers
Team Members
Stakeholders
Work Breakdown Structure (WBS)
Major Deliverables
Work Packages
Milestones
Project Schedule
Timeline
Gantt Chart
(Optional) Attach or reference a Gantt chart that visually represents the project schedule, including task dependencies and critical paths.
Resource Allocation
Budget
Resource Requirements
Risk Management
Risk Identification
Risk Mitigation Strategies
Quality Assurance
Quality Standards
Testing and Validation
Communication Plan
Reporting
Meetings
Approval
Project Approval
This section is for final approval of the project by the core team:
Additional Notes
Include any other relevant information or considerations for the project.