10
Articles
Featured Series
Beginner Friendly
Distributed Systems Mastery
A complete roadmap to understanding core concepts like CAP theorem, Consistent Hashing, and Consensus algorithms.
4 Lessons
View Series →Advanced Patterns
Microservices Architecture
Deep dive into decomposing monoliths, inter-service communication (gRPC, REST), and managing distributed transactions.
1 Lessons
View Series →Intermediate
PostgreSQL Deep Dive
Understand PostgreSQL internals from the query planner to the storage engine.
3 Lessons
View Series →Advanced Patterns
Kubernetes in Production
Battle-tested patterns for running Kubernetes at scale.
1 Lessons
View Series →Latest Articles
Backend Engineering••15 min read
HTTP/1.1 vs HTTP/2: A Visual Deep Dive
Understanding the fundamental differences between HTTP/1.1 and HTTP/2 with visual diagrams and practical examples
#HTTP#Performance#Web Development
System Design••12 min read
Building Resilient Distributed Systems with Go
Learn how to design and implement fault-tolerant distributed systems using Go's concurrency primitives, circuit breakers, and graceful degradation patterns.
#Go#Distributed Systems#Resilience
Backend Engineering••18 min read
PostgreSQL Query Planner Internals: How Postgres Optimizes Your Queries
A deep dive into how PostgreSQL's query planner works, from parsing SQL to generating optimal execution plans. Understand EXPLAIN output like never before.
#PostgreSQL#Database Internals#Query Optimization
DevOps••14 min read
Kubernetes Networking Deep Dive: From Pods to Services
Understand how Kubernetes networking works at every layer -- pod networking, service discovery, ingress, and network policies explained with practical examples.
#Kubernetes#Networking#DevOps
System Design••11 min read
Caching Strategies at Scale: Beyond Simple Key-Value Stores
Explore advanced caching patterns including write-through, write-behind, cache-aside, and distributed caching with Redis Cluster for high-throughput systems.
#Caching#Redis#System Design
System Design••16 min read
Understanding Raft Consensus: Building Blocks of Distributed Databases
A practical guide to the Raft consensus algorithm with Go implementation examples. Learn leader election, log replication, and safety guarantees.
#Distributed Systems#Raft#Consensus
AI & ML Ops••14 min read
Building a Real-Time Feature Store for ML Inference
How to design and implement a low-latency feature store that serves ML features in under 5ms. Covers online/offline architecture, feature computation, and consistency.
#Feature Store#Machine Learning#Redis
Backend Engineering••13 min read
Zero-Downtime Database Migrations at Scale
How to run schema migrations on billion-row tables without any downtime. Covers expand-contract pattern, online DDL tools, and rollback strategies.
#Database#Migrations#PostgreSQL
System Design••10 min read
PostgreSQL vs MongoDB: The definitive guide for 2024
Stop blindly choosing a database. We benchmark performance, analyze consistency models, and compare operational complexity for high-scale workloads.
#PostgreSQL#MongoDB#Database
System Design••8 min read
Scaling Redis for High-Throughput Systems
When your distributed system hits 100k requests per second, your caching layer becomes the most critical component. Here's how to configure Redis Cluster for maximum resilience.
#Microservices#Redis#System Design
