About NJ van As
Professional Background
I specialize in designing and implementing modern infrastructure solutions with a focus on:
โ๏ธ Cloud Architecture
- Azure & AWS: Multi-cloud solutions, migration strategies, and cost optimization
- Infrastructure as Code: Terraform, ARM templates, and CloudFormation
- Serverless Computing: Azure Functions, AWS Lambda, and event-driven architectures
- Cloud Security: Identity management, compliance, and security best practices
๐ DevOps & Automation
- CI/CD Pipelines: Azure DevOps, GitHub Actions, and Jenkins
- Container Orchestration: Kubernetes, Docker Swarm, and container security
- Configuration Management: Ansible, Puppet, and infrastructure automation
- Monitoring & Observability: Prometheus, Grafana, ELK stack, and APM solutions
๐ก๏ธ Site Reliability Engineering
- Incident Response: On-call procedures, post-mortems, and continuous improvement
- Performance Optimization: Application tuning, database optimization, and caching strategies
- Disaster Recovery: Backup strategies, failover procedures, and business continuity
- Capacity Planning: Resource forecasting, scaling strategies, and cost management
What Youโll Find Here
This isnโt just another tech blog - itโs a detailed chronicle of problems encountered, solutions discovered, and lessons learned in the trenches of modern infrastructure.
๐ Homelab Chronicles
- Self-Hosting Journey: From simple file servers to complex microservices
- Network Engineering: VLANs, firewalls, and advanced routing configurations
- Hardware Deep-Dives: Server builds, storage solutions, and performance testing
- Automation Projects: Home Assistant, monitoring stacks, and custom integrations
๐ Certification Journey
- Azure Certifications: AZ-104, AZ-204, AZ-305 study guides and exam experiences
- AWS Learning Path: Solutions Architect, DevOps Engineer certification prep
- Kubernetes Expertise: CKA, CKAD preparation and hands-on labs
- Security Focus: Cloud security certifications and best practices
๐ณ Container & Orchestration
- Docker Mastery: Advanced containerization techniques and optimization
- Kubernetes Production: Real-world cluster management and troubleshooting
- Service Mesh: Istio, Linkerd implementation and operational insights
- GitOps Workflows: ArgoCD, Flux, and declarative infrastructure management
๐ง Real-World Problem Solving
- Production Incidents: Detailed post-mortems and lessons learned
- Performance Tuning: Database optimization, application scaling, and bottleneck analysis
- Security Hardening: Vulnerability assessments, compliance implementations, and threat modeling
- Cost Optimization: Cloud spend analysis, resource rightsizing, and architectural improvements
My Technical Philosophy
๐ฏ Reliability First
Every solution must be designed with failure in mind. I believe in building systems that gracefully handle edge cases and provide clear observability into their behavior.
๐ Documentation as Code
If itโs not documented, it doesnโt exist. I treat documentation with the same rigor as code - version controlled, reviewed, and continuously updated.
๐ Continuous Learning
Technology evolves rapidly. I maintain a growth mindset, constantly experimenting with new tools and sharing both successes and failures.
๐ค Community Driven
The best solutions come from collaboration. I actively contribute to open-source projects and believe in sharing knowledge to elevate the entire community.
Why I Write
๐ Future Self Documentation
The primary audience for these posts is future me, six months from now, trying to remember how I solved a complex problem.
๐ Community Knowledge Sharing
Every challenge I face has likely been encountered by others. By documenting solutions, I hope to save someone else hours of troubleshooting.
๐ง Learning Through Teaching
Writing about technical concepts forces me to truly understand them. The process of explaining complex topics deepens my own knowledge.
๐ Building a Reference Library
Over time, this blog becomes a searchable knowledge base of solutions, configurations, and lessons learned.
Current Focus Areas
๐ 2024 Learning Goals
- Platform Engineering: Building developer-friendly infrastructure platforms
- FinOps: Advanced cloud cost management and optimization strategies
- AI/ML Operations: MLOps pipelines and model deployment strategies
- Edge Computing: IoT integration and edge infrastructure management
๐ ๏ธ Active Projects
- Homelab v3.0: Complete infrastructure rebuild with GitOps and observability
- Cloud Cost Optimizer: Open-source tool for multi-cloud cost analysis
- Kubernetes Learning Lab: Hands-on training environment for container orchestration
- Infrastructure Templates: Reusable Terraform modules for common patterns
Connect & Collaborate
Iโm always interested in connecting with fellow infrastructure enthusiasts, whether youโre just starting your homelab journey or managing enterprise-scale deployments.
๐ Professional Networks
- GitHub: @njvanas - Open source contributions and project repositories
- LinkedIn: NJ van As - Professional updates and industry insights
- Email: Available in the footer for direct communication
๐ฌ Community Engagement
- Technical Discussions: Always happy to discuss architecture decisions and troubleshooting approaches
- Mentorship: Open to helping others navigate their DevOps and cloud journey
- Collaboration: Interested in contributing to open-source infrastructure projects
- Speaking: Available for technical presentations and knowledge sharing sessions
About This Site
๐๏ธ Technical Implementation
This blog is built with Jekyll and hosted on GitHub Pages, emphasizing:
- Performance: Fast loading times with optimized assets
- Accessibility: WCAG compliant design for all users
- Mobile First: Responsive design that works on any device
- SEO Optimized: Structured data and meta tags for discoverability
๐ Content Strategy
Every post follows a structured format designed to be:
- Scannable: Quick navigation to find relevant information
- Comprehensive: Complete context and detailed solutions
- Honest: Including failures and what didnโt work
- Practical: Real-world applications with actual constraints
๐จ Design Philosophy
The site prioritizes content over flashy design, with a clean, professional aesthetic that matches the technical nature of the content.
The journey of building reliable, scalable infrastructure is never complete - thereโs always something new to learn, optimize, or improve. Letโs learn together!