GOKUL B S

Backend Developer

Ortmor Technology Agency Pvt Ltd

Anna University

Thiruvananthapuram, India

5+Years

4Projects

7Articles

Bio

A backend developer building scalable APIs, microservices & cloud systems.

Skills

NodejsMongodb

Connect

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Projects

TrentIt Marketplace

Reselling marketplace for second-hand products

Node.jsExpressMongoDB

Blogs

Database Indexing & Query Optimization: Improving Backend Performance in SaaS

Slow queries can break your SaaS at scale. Learn how to use indexing and query optimization to improve backend performance with real examples.

9 min read

Idempotency in APIs: Handling Retries and Preventing Duplicate Operations

Retries can break your system if not handled properly. Learn how to implement idempotency in APIs to prevent duplicate payments and operations.

8 min read

Event-Driven Architecture in SaaS: Designing Scalable Microservices with Kafka

Synchronous APIs don’t scale well in microservices. Learn how to design event-driven architecture using Kafka for scalable SaaS systems.

8 min read

Feature Flags in SaaS: Designing a Dynamic Feature Control System

Feature flags are not just toggles. Learn how to design a scalable feature control system in SaaS with real backend patterns and rollout strategies.

7 min read

Tenant-Level Rate Limiting in SaaS: Designing Scalable Request Control

User-based rate limiting is not enough for SaaS. Learn how to design tenant-level rate limiting using Redis, algorithms, and distributed system patterns.

7 min read

7 articles total

Thiruvananthapuram, India

12:14 AM

GMT+5:30

Latest Experience

Backend Developer

Ortmor Technology Agency Pvt Ltd

Years

Your API is fast… until your database isn’t. Everything works fine in development. Then data grows. Suddenly: • Queries slow down • APIs take seconds • CPU usage spikes I faced this while scaling a backend system. The issue wasn’t the code. 👉 It was missing indexes. Most developers: - Add indexes blindly - Or don’t add them at all Both are dangerous. In real systems: 👉 Every query must be designed with indexing in mind. What worked for me: • Identifying slow queries first • Adding indexes based on query patterns • Using compound indexes for real use cases • Avoiding over-indexing One small index reduced a query from seconds to milliseconds. That’s the difference indexing makes. I’ve broken down real examples and optimization strategies here below, How do you approach query optimization in your system?

7 articles

7 posts

Services4

Backend System

Open to Work

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Talk is cheap. Show me the code

— Linus Torvalds