Writing about development and technology.
Backends split into microservices, but frontends stay as one giant monolith. Micro frontends solve that — here's what they fix, how composition works, and when it's actually worth it.
There are several ways to ship a new version without downtime. This post covers how rolling updates, blue-green, and canary deployments work, their trade-offs, and basic Kubernetes implementations.
As a single model grows complex, reads and writes start tripping each other up. Here's how CQRS solves that problem — from simple separation to full event sourcing, with TypeScript examples throughout.
Explore why synchronous request-response communication breaks down in microservices and how Event-Driven Architecture solves it. Covers Kafka vs RabbitMQ vs SQS, domain events vs integration events, event sourcing basics, eventual consistency, and practical Node.js examples.
TDD and BDD both share a 'tests first' philosophy but differ in focus and application. From the Red-Green-Refactor cycle to Gherkin syntax — a practical TypeScript comparison.
10MB images upload fine but 2GB videos timeout. Chunked uploads, presigned URLs, and retry logic for robust file upload systems.
Sending one notification is easy. As notifications scale up, preventing duplicates, respecting preferences, and handling retries becomes a completely different engineering problem.
Started with SQL LIKE, hit its limits, moved to Elasticsearch, and got shocked by operational costs. The real trade-offs of search systems.
Integrating a payment API is just the beginning. Idempotency, refund flows, and double-charge prevention make payment systems genuinely hard.
Building a feed like Instagram sounds simple until a user with 1M followers posts. Understanding push vs pull models and fan-out strategies.
1:1 chat is straightforward, but group chat, read receipts, and offline messages turn it into a completely different beast.
A URL shortener sounds trivial until you face hash collisions, expiration policies, and redirect latency. A microcosm of system design.
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.
Why API Gateway is essential in Microservices Architecture. Detailed comparison of Kong vs. Nginx vs. AWS API Gateway, deep dive into Rate Limiting algorithms, GraphQL integration strategies, and ensuring Observability.
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.
Round Robin, Least Connections, IP Hash explained. The difference between L4 (Layer 4) and L7 (Layer 7) load balancing, and how to configure Nginx as a Reverse Proxy.
DDD is not just about entities and repositories. It's a strategic approach to tackling complex software problems. Learn how Ubiquitous Language, Bounded Contexts, and Aggregates can help you model the real world and align your software architecture with business goals. We also explore Event Storming and Strategic Design.
In complex domains, using a single data model for both reading and writing can lead to performance bottlenecks and messy code. Learn how CQRS (Command Query Responsibility Segregation) coupled with Event Sourcing can decouple your architecture, improve scalability, and simplify domain logic.
Stop cascading failures in distributed systems. Understand the 3 states of a Circuit Breaker, the dangers of infinite retries, and how to implement Bulkheads, Rate Limiters, and Graceful Degradation using Resilience4j and Istio.
Where should you place your cache? A deep dive into Cache-Aside, Read-Through, Write-Back, and Write-Around patterns. Includes advanced topics like Cache Penetration, Breakdown, Avalanche, and a comparison of Distributed vs Local Caching.
