Practical guides to web development and technology
Author
Security Researcher & Emerging Tech Analyst
A former penetration tester with 15 years of cybersecurity experience, Rafael specializes in identifying vulnerabilities in web applications and dissecting emerging protocols like WebAssembly and WebRTC. He manages the security desk, translating complex threat models into actionable mitigation strategies for developers. His expertise lies in the intersection of cryptographic protocols and decentralized web technologies.
I manually audit code snippets for injection flaws and cross-reference all CVE claims against the National Vulnerability Database.
Any security-related code or advice must be void of 'security by obscurity' and strictly adhere to industry-standard encryption protocols.
Cutting monthly infrastructure costs by moving AI inference from AWS Lambda to Cloudflare Workers required handling strict memory limits and rethinking our deployment strategy.
AI assistants accelerate syntax generation but fail to address system architecture and complex debugging, keeping senior engineers essential for oversight.
Moving ML inference to the client side can slash API costs and enhance data privacy, but only if you navigate the performance trade-offs correctly.
Edge functions shift serverless logic to the CDN, drastically cutting latency for personalization and A/B testing by eliminating origin roundtrips.
Explore how WebAssembly transforms enterprise architecture by enabling high-speed financial modeling, browser-based CAD viewing, and secure client-side cryptography.
A concrete, technical breakdown of routing traffic between identical production environments to achieve zero-downtime releases using AWS native tools.
Running containers as root is a silent agreement to hand over your host kernel's keys to the first attacker who bypasses your application perimeter.
Prevent infrastructure drift and collaboration conflicts by migrating Terraform state to a secure AWS S3 remote backend with DynamoDB locking.
Faced with a sudden $300 cloud bill attributed to idle CI runners over a single weekend, we restructured our infrastructure to use ephemeral auto-scaling runners, cutting costs by 90%.
Running a self-managed Kubernetes cluster offers unparalleled control, but for a lean startup team, the operational tax often outweighs the benefits, making AWS Fargate the pragmatic choice for 2026.