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.
The most common mistake in mobile product launches is assuming the app store submission process is routine. It isn’t. From mismatched requirements between Apple and Google to last-minute policy changes, this is where launch plans unravel.
Should SaaS founders buy or build their MVP? We compare pre-built apps vs custom development across cost, time, scalability, and code quality — so you can choose the right foundation for your product.
Many SaaS startups over-engineer their architecture with microservices. Here's why that's usually a costly mistake—and what to do instead.
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.
Accessibility isn’t just ethical—it’s essential for reaching a wider audience and creating loyalty. Designing apps with inclusivity in mind boosts engagement, ensures compliance, and sets your product apart in a competitive market.
Learn about the importance of SBOMs and software licensing for your SaaS startup.