#Database

Solving the database connection exhaustion problem in serverless architectures. An in-depth guide to the architecture, configuration, and optimization of Supabase Supavisor.

SQLite is just for mobile apps? Turso and Litestream made it a serious option for production web services with edge replication.

Adding a column to a production table locked it for 5 minutes. Learning zero-downtime migration strategies the hard way.

You don't always need Elasticsearch. PostgreSQL's built-in Full-Text Search handles most search needs without extra infrastructure.

Beyond basic SELECT: JSONB, CTEs, and Window Functions dramatically expand what you can do in a single SQL query.

I only used Redis as a cache until I discovered it handles sessions, leaderboards, pub/sub, and rate limiting. It's a Swiss Army knife.

Started with SQL LIKE, hit its limits, moved to Elasticsearch, and got shocked by operational costs. The real trade-offs of search systems.

A URL shortener sounds trivial until you face hash collisions, expiration policies, and redirect latency. A microcosm of system design.

Service is growing, but Supabase alerts 'Disk Full'? Understanding the real limits of the Free Tier and optimization tips to survive without upgrading.

Querying related data returns null? Fix common Foreign Key issues in Supabase and master the `select(*, related_table(*))` syntax. Deep dive into Many-to-Many and Inner Joins.

Data exists in DB but returns empty array in Flutter? It's RLS. Learn to write correct Row Level Security policies for SELECT, INSERT, and UPDATE.

Why banks use RDBMS over NoSQL. A deep dive into Atomicity, Consistency, Isolation, Durability, Transaction Isolation Levels, Deadlock prevention, and how to ace this topic in technical interviews.

Look-aside pattern vs Write-Through. LRU Eviction explained. Persistence trade-offs (RDB vs AOF). Single-threaded nature of Redis.

Understanding vector database principles and practical applications through project experience

How I lost my data due to a simple SQL Injection. Why Prepared Statements are the only silver bullet and if ORMs are truly safe.

The definitive guide for Architects. Covers Storage Engines, Distributed Systems Theory (CAP, PACELC), Transactions, Sharding, Glossary, and FAQ.

Understanding high availability and read performance improvement through database replication

Understanding database sharding and handling massive traffic through practical experience

Add one small feature and suddenly your DB CPU hits 100%. The culprit is usually the N+1 problem caused by ORM's Lazy Loading. Here's how to diagnose it, cut 1000 queries down to 1, and avoid the ORM mistakes that cause it.

Understanding database connection pooling and performance optimization through practical experience

Understanding database transactions and ACID properties through practical experience

Foundation of DB Design. Splitting tables to prevent Anomalies. 1NF, 2NF, 3NF explained simply.

Why you can't have it all. Consistency vs Availability in the face of Partitions. Explaining CP (MongoDB) vs AP (Cassandra) and the extended PACELC theorem.

When Scale-Up fails, Scale-Out is the answer. Vertical vs Horizontal Partitioning, Shard Key selection strategies (Geo vs Hash), and the complexity of Distributed Transactions.

When you break a monolith into microservices, you lose ACID transactions. How do you ensure data consistency across boundaries? We explore the limitations of Two-Phase Commit (2PC) and dive deep into the Saga Pattern, Event Consistency, and practical implementation strategies like Choreography vs Orchestration.

A comprehensive guide to Database Indexing. Understanding the B-Tree structure, the difference between Clustered and Non-Clustered Indexes, and why Hash Indexes are rarely used for range queries. Includes a dedicated section on 'The Index Usage Anti-Patterns'.

Binary Tree is for RAM. Disk is slow. B-Tree minimizes Disk I/O by being short and fat. Difference between B-Tree and B+Tree, and why databases love them.

Why processes freeze forever. From Dining Philosophers to Distributed Deadlock Detection. Includes Resource Allocation Graphs, Banker's Algorithm, and Java/DB examples.