em có kinh nghiệm làm việc với AWS, ci/cd docker k8s monitoring

Nguyễn Minh Hưởng

Devops Intern

Third-year Computer Science student at Hanoi University of

Industry (HaUI). Looking for an Internship position. Hands-on experience through a personal project deploying CI/CD, Docker, Git.

Short-term goal: Master Kubernetes, Ansible, Terraform. Long-term goal: Become a professional DevOps Engineer, contributing to large-scale systems serving thousands of users. Personal Information

097*******

nguyenminhhuongcode@gmail.

com

Mễ trì,Hà Nội

Education

Hanoi University of Industry

(HaUI)

2023 - 2027

Major: Computer Science

.

Skill

Cloud: AWS (VPC, EC2, NAT

Gateway, Multi-AZ)

Containerization & Orchestration:

Docker, Kubernetes (Kind –

Deployment, Service, ConfigMap,

Secret)

CI/CD & Automation: Jenkins

(pipeline + manual approval), Git,

GitHub

Observability: Prometheus, Grafana,

Loki, Promtail, Node Exporter,

cAdvisor

Programming: Bash, Python, Groovy

Project

3-Tier Application Deployment on AWS Apr 28 - May 5, 2026 Project link: https://github.com/huongnguyencode/devops- bootcamp-todolist-backend-api

Technologies: AWS (VPC, EC2, NAT Gateway), Docker, Jenkins, Kubernetes (Kind), Prometheus, Grafana, Loki, PostgreSQL, Git, GitHub, Docker Hub

Key achievements:

• Designed and deployed a complete AWS network infrastructure for a 3-tier app (Frontend, Backend, Database):

• Created a custom VPC with 2 Public Subnets and 2 Private Subnets across 2 Availability Zones for high availability.

• Configured Internet Gateway (public subnets) and NAT Gateway (private subnets), increasing secure internet access for the database by 100%.

• Placed 3 EC2 instances (Tools, App, Database) into correct public/private subnets following security best practices.

• Built an automated CI/CD pipeline on Jenkins:

• Automated the entire workflow: build Docker images run tests push to Docker Hub deploy to Dev (EC2) manual approval deploy to Production (Kubernetes Kind).

• Integrated Manual Approval before production deployment, reducing deployment failure risk by 100%.

• Result: Deployment time reduced from 30 minutes (manual) to under 5 minutes (automated) – a >80% reduction.

• Secure configuration & secrets management:

• Stored database credentials in Jenkins Credentials (Dev) and Kubernetes Secrets (Production).

• Ensured 0% database passwords committed to GitHub, following the Principle of Least Privilege.

• Production deployment with Kubernetes (Kind):

© topcv.vn

• Created Kubernetes objects: Namespace, ConfigMap, Secret, Deployment, Service, NodePort.

• Leveraged Pod self-healing for continuous uptime without manual intervention.

• Complete observability stack (metrics & logs):

• Configured Prometheus (metrics collection), Grafana

(visualization), Loki & Promtail (log aggregation), Node Exporter & cAdvisor (host & container monitoring).

• Built custom Grafana dashboards (Node Exporter, Docker containers, cAdvisor, Loki logs) monitoring over 20 system metrics (CPU, RAM, disk, network, request count, error rate).

• System detects issues ~70% earlier than non-monitored environments, reducing MTTR (Mean Time To Recover) from hours to under 30 minutes.

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