PostgreSQL Query Rewriting Techniques The previous articles in this series covered performance problems you fix by adding indexes, restructuring joins, or tuning memory. This one is about the queries where the plan is "fine" — every node is doing something reasonable — but the query itself is asking the wrong question, producing unnecessarily large intermediate results or forcing the planner dow
Multi-tenancy is the economic engine of SaaS. Sharing infrastructure across customers reduces cost and simplifies operations. But it introduces a risk that can end your business overnight: tenant data leakage. When one customer can see another customer's data — even accidentally — the consequences are severe. Regulatory fines, contract termination, public disclosure requirements, and irreparable t
Originally published at hafiz.dev Every SaaS app eventually hits the same question: how do you make one application serve multiple customers with separate data? If you're building with Filament, the answer is closer than you think. Filament ships with a built-in tenancy system that handles tenant switching, automatic resource scoping, registration, and profile management out of the box. But here's
The API Rate Limit Catastrophe In modern B2B SaaS development at Smart Tech Devs, your application rarely lives in isolation. You constantly communicate with external services: billing via Stripe, CRM syncing via Salesforce, or email campaigns via Resend. The architectural trap occurs when you combine the immense speed of Laravel Queues with the strict rate limits of these third-party APIs. If you
SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
Hi 👋, In this post we shall explore Bedrock's structured KB with this architecture: Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM. Let's do some of this with code. Let's get started. Clone the repo and switch to the project directory. git clone [email protected]:networkandcode/networkandcode.github.io.git cd structured-kb-demo/ Do a uv sync
The Problem I Was Trying to Solve When I started building VMMS — a voucher management system It was the workflow routing. A voucher request doesn't just go to one office. It goes And at any point, a department can: Complete their step and pass it forward Reject the entire request Flag it for missing documents and pause processing I needed a system that could handle all of that cleanly. Every v
Subqueries vs. CTEs in SQL: A Practical Guide to Writing Cleaner, Smarter Queries Whether you're just getting comfortable with SQL or leveling up your data skills, two tools will come up again and again when working with complex queries: subqueries and Common Table Expressions (CTEs). They solve similar problems — breaking a complex query into manageable pieces — but they do it in different ways