Backend & Servers — Tech Learning

REST API Design

HTTP methods, status codes, resource naming, versioning, and API best practices.

Relational vs NoSQL, indexing, transactions, ACID properties, and query optimisation.

Creating robust backend servers using Node.js and Express. Middlewares, routing, and error handling.

Securing backend servers: JWTs, OAuth, session management, and role-based access control (RBAC).

How to set up MongoDB, design document schemas with Mongoose, and perform CRUD operations.

Advanced techniques to optimize database queries, indexing strategies, and increasing server response times.

Implement in-memory caching to drastically reduce database load and improve response latency.

Handling background jobs and async processing using RabbitMQ, Kafka, or BullMQ.

Transitioning from monoliths to microservices, inter-service communication, and API gateways.

Integrating LLMs, prompt engineering, embedding pipelines, and Vector DBs like Pinecone.

Building cloud-native, high-performance microservices using Golang and Goroutines.

CAP theorem trade-offs, circuit breakers, distributed locks, and sagas.

Deploying, scaling, and managing containerized backend applications using K8s and Helm.

Optimizing AWS Lambda, managing cold starts, and event-driven serverless architectures.

High-performance inter-service communication using gRPC and strict Protobuf schemas.

Scaling databases horizontally, read replicas, and connection pooling strategies.

Building memory-safe, ultra-fast backend systems using Rust and Actix/Axum.

Decoupling reads and writes, maintaining audit trails, and building event-driven systems.

Distributed tracing, metrics, structured logging, and debugging microservice meshes.

Kong, Envoy, rate limiting, load balancing, and routing in complex architectures.

Implementing zero-trust security, OAuth 2.0 flows, and securing service-to-service calls.