About Me
About Phạm Tùng Lâm
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DevOps Engineer & Solution Architect
Location: Ha Dong, Ha Noi City, Vietnam
Email: phamtunglam.workmail.public@gmail.com
LinkedIn: alexpham15010305
Career Vision
My immediate goal is to further develop my capabilities and seek new challenges in the DevOps field, ensuring that I can contribute effectively to a dynamic team while keeping abreast of the latest technologies and methodologies. In the future, I aspire to evolve into a Solution Architect role, where I can design and implement innovative solutions on a larger scale.
What I’m Doing Now
Currently, I’m working as an Application Architect at LG CNS. In this role, I focus on:
- Architecture Design: Designing and building robust software infrastructures on the AWS cloud for both monolithic and microservices architectures
- International Consultation: Providing consultation and support to international customers, guiding them through system installation and management
- Infrastructure Automation: Heavily relying on Infrastructure as Code (IaC) tools like Ansible and Terraform to automate provisioning
- AWS Services Management: Effectively managing core AWS services such as EKS, EC2, and ECR
Technical Toolkit
I’m passionate about building and optimizing the bridges between development and operations. Here’s what I bring to the table:
CI/CD & DevOps Pipeline
My expertise lies in crafting seamless CI/CD pipelines that fit various project needs. I have hands-on experience with:
- Jenkins - Traditional automation server
- GitLab CI - Integrated DevOps platform
- TektonCI - Kubernetes-native CI/CD
- ArgoCD - GitOps continuous delivery
- AWS CodePipeline - Cloud-native CI/CD
Infrastructure & Automation
My approach is grounded in automation and containerization:
- Infrastructure as Code: Ansible, Terraform
- Container Technologies: Docker, Podman
- Container Orchestration: Kubernetes, Amazon EKS
- Platform Experience: On-premise servers, AWS Cloud
Observability & Monitoring
To ensure systems are not just running but are healthy and performant, I focus on comprehensive observability:
- Monitoring: Prometheus, Grafana
- Logging: Elastic Stack (Elasticsearch, Kibana, Vector)
- Tracing: Zipkin, Jaeger
- Alerting: AlertManager, PagerDuty integration
Programming & Scripting
This is all supported by a solid foundation in programming:
- Java - Enterprise application development
- Python - Automation and data processing
- Bash - System administration and scripting
- Go - Cloud-native tool development
Professional Philosophy
“The best way to predict the future is to create it through reliable, scalable, and automated systems.”
I believe in:
- Automation First: If you do it twice, automate it
- Infrastructure as Code: Everything should be version controlled
- Observability: You can’t improve what you can’t measure
- Continuous Learning: Technology evolves, and so should we
Let’s Connect
I’m always interested in discussing:
- DevOps best practices and emerging technologies
- AWS cloud architecture and optimization
- Kubernetes and container orchestration strategies
- Infrastructure automation and scaling challenges
Feel free to reach out through LinkedIn or email. I’m always happy to share knowledge and learn from fellow professionals in the field.
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