Backend & Databases
The backend decides how far an app can grow. I compare databases and message queues, walk through Node.js services, and explain data-layer details such as Supabase row level security that are easy to get subtly wrong.
The economics that made your demo cheap fall apart at scale. Context window bloat, wrong model for the task, and zero caching are costing you 60–90% more than necessary. Here are five levers — with Node.js code — to cut your LLM bill without touching your output quality.
Your regular database can't handle meaning — only words. Here's what vector databases actually do, how HNSW works, and when to use one in your stack.
Supabase Row Level Security (RLS) is a Postgres feature that restricts which rows each user can read or write. Policy examples, USING vs WITH CHECK, Storage and Next.js SSR.
Explore architecture, performance optimization, and handling large-scale traffic with Node.js and MongoDB. Learn the best practices for building scalable web applications in 2024.
Learn the key differences between SQL and NoSQL databases, when to use each, and best practices for selecting the right database for your application.
Discover the key differences between Kafka, RabbitMQ, SQS, and Azure Service Bus in our comprehensive guide to queueing systems. Learn when to choose each one based on your project's specific needs, ensuring you make the best decision for your architecture.
Explore the strengths, weaknesses, and ideal use cases of popular NoSQL databases like Cassandra, ScyllaDB, ElasticSearch, Redis, and DynamoDB to help you make an informed decision for your next project.