- Load Balancer: Distributes client traffic across multiple app instances (Round Robin, Least Connections). - Caching (Redis/Memcached): In-memory storage for high-frequency read queries to protect databases. - Database Sharding & Replication: Master-slave replication for read-heavy workloads; partitioning for massive datasets. - Asynchronous Queues (Kafka/RabbitMQ): Decouples compute-heavy tasks from client response cycles.
Identify your exact skill gaps and follow a milestone-by-milestone curriculum tailored to your target engineering track.
Top product startups and FAANG companies increasingly ask junior candidates basic HLD scenarios (e.g., URL shortener or rate limiter) to evaluate architectural thinking.
Continue leveling up your technical and job search skills.
Master SOLID principles, design patterns (Singleton, Factory, Observer, Strategy), and class diagram modeling for machine coding rounds.
Deep-dive questions on REST vs GraphQL vs gRPC, JWT vs session authentication, database connection pooling, and eventual consistency.
A high-yield cheat sheet covering Operating Systems (processes vs threads, deadlocks), DBMS (ACID, normal forms), and Computer Networks (TCP/UDP, DNS).