In the first of a series exploring infrastructure fundamentals, Brenden addresses the most frequently asked questions about what's really happening under the hood with complex pipelines and AI/data systems, bringing the cloud to life.
I recently encountered a issue with MySQL query performance. A particular query would perform very badly in production, but perform very well in the testing environments.
Learn how SEEK’s Braid Design System uses a linkComponent provider to flexibly support routing across React apps. A great pattern for design systems, and one madewithlove engineers keep coming back to when building scalable front-end libraries.
Professor Quacks reminds us that curiosity, accountability, and good teamwork are the bedrock of great engineering.
Why do engineering teams keep rewriting frontends? Let’s explore the leadership bias and tech churn that makes refactors feel harder—yet ultimately more sustainable.
Building desktop apps with NativePHP misuses Laravel’s core strengths, creating potential security risks and practical limitations.
Selecting the right tech stack is critical for AI startups. Python is essential for data science, but the backend, frontend, and infrastructure choices determine scalability and efficiency. Explore the best tech stack combinations, hosting tools, and ETL solutions to future-proof your AI startup.
Using ARG or ENV for secrets in Dockerfiles can expose sensitive credentials in your final image. Instead, use Docker BuildKit’s --secret to pass secrets securely at build time. Learn how to protect your Docker builds across CLI, Docker Compose, GitHub Actions, and GCP.
Adapting to a new tech stack is all about mindset. Switching from PHP to Python was an eye-opener. Package management confusion, unexpected paradigms, and a lack of encapsulation made for an interesting challenge. Embracing constraints is the secret to growth.