Queue workers are long-running PHP processes. Unlike a web request that lives for a few hundred milliseconds, a worker boots once and then loops for hours or days, pulling jobs off a queue and…
When a Redis instance dies at 3 AM, the answer to "what happens next?" should not be "the on-call engineer wakes up." That single sentence is what high availability is about, and it is also the…
In Part 1, we established our Laravel project structure, configured our development environment, and set up the foundational infrastructure. Now we're diving into the real meat: implementing a production-grade REST API with proper design patterns, s…
In Parts 1 and 2, we built a solid foundation with authentication, CRUD operations, and basic middleware. Now we're diving into the features that separate a basic API from a production-ready system handling millions of requests.
After building APIs for companies processing millions of requests daily, I've learned that framework choice matters less than architecture decisions. That said, Laravel excels in specific scenarios that align with modern API development needs.
Learn how we scaled our Laravel application from 5M to 100M daily requests on AWS. Real architecture decisions, performance benchmarks, and hard-won lessons from production.
In Parts 1 and 2, we built the foundation and core features of our SaaS application. Now we're entering production territory—the features that separate a basic app from a scalable, maintainable system that can handle real-world load.
In Part 1, we established our development environment and deployment pipeline. Now we're diving into the meat of production SaaS development: building a scalable, maintainable codebase that handles real-world complexity.
After building and scaling SaaS applications serving over 50,000 organizations, I've learned that **the architecture decisions you make on day one will either e...
Learn how we scaled our Node.js app from 50k to 5M daily requests using Kubernetes and Docker. Real production patterns, battle-tested configurations, and the gotchas that cost us 2 days of downtime.
After migrating our CI/CD pipeline three times across Jenkins, Travis CI, and CircleCI, here's what actually matters when you're running 200+ builds daily at scale.
A comprehensive comparison of cloud providers, including AWS, Azure, and GCP, covering their services, pricing models, security features, and more.