Project Overview
In the service industry, my role as a Cloud Architect and DevOps Engineer focused on leveraging Kubernetes in AWS for optimizing cloud applications. Key tasks included CI/CD pipeline design, integration with AWS services, and adherence to DevOps methodologies.
Challenges & Solutions
The project encompassed:
- Kubernetes Administration in AWS: Ensuring high availability and fault tolerance within Kubernetes environments.
- CI/CD Pipeline Design with GitLab: Creating efficient pipelines for continuous integration and deployment.
- Integration with AWS Services: Seamlessly integrating Kubernetes with services like AWS RDS, Redis, and MySQL.
- Automated Deployment of Microservices: Developing CI/CD pipelines for microservices to streamline deployment processes.
- Compliance with DevOps Methods: Upholding best practices in DevOps to ensure efficient and reliable operations.
- Infrastructure as Code with AWS CloudFormation: Implementing IaC practices to automate and standardize infrastructure provisioning.
Technologies Employed
The project utilized:
- Container Orchestration: Kubernetes
- Version Control and CI/CD: Git, GitLab
- Cloud Services and Management: AWS, AWS CloudFormation, AWS RDS
- Programming and Frameworks: Springboot
- Project Management Tools: Jira, Confluence
- Security and Networking: LDAP, NGINX, Cert-Manager
- Database Management: Redis, MySQL
- Agile Methodology: Scrum
Impact and Outcome
The project led to:
- Improved Application Availability: Enhanced high availability and fault tolerance of cloud applications.
- Streamlined Deployment Process: More efficient deployment cycles with the integration of CI/CD pipelines.
- Standardized Infrastructure Management: Adoption of IaC for consistent and automated infrastructure setup.
Conclusion
This project demonstrates the effective use of Kubernetes-based DevOps practices in AWS environments, highlighting the importance of CI/CD pipelines and IaC for enhancing cloud application management and deployment.
