Introduction to Big Data Tools
Learn why big data processing exists, how distributed computing works, and why tools like Apache Spark handle the heavy lifting so you can focus on business logic.
Blogs
All the topics I've covered. I write about React, Next.js, TypeScript, databases, AI/ML, cloud deployment, performance optimization, and system design.
Consistent Hashing
Learn how consistent hashing solves the data ownership problem in distributed systems. Understand hash-based routing, the ring abstraction, and how to scale up and down with minimal data movement.
Communication Protocols
Understand how clients and servers communicate over the network. TCP fundamentals, HTTP, WebSockets, Server-Sent Events, and API paradigms like REST, GraphQL, gRPC, and tRPC.
High Availability
Learn how to build resilient systems through data redundancy, automatic failover, and leader election. Understand backup strategies, database replication, disaster recovery patterns, and how leader election enables zero-downtime auto-recovery.
Circuit Breakers
Learn how circuit breakers prevent cascading failures in distributed systems. Understand why services fail together, how to implement circuit breakers, and practical patterns for building resilient microservices.
Load Balancers
Learn how load balancers enable horizontal scalability by distributing traffic across multiple servers. Understand load balancing algorithms, request flow, and key advantages for building resilient systems.