Rishab Nitin Tiwari

Discusses resilience patterns on AWS—assuming failure, eliminating single points of failure, multi-AZ deployments, load balancing, auto scaling, database strategies, observability, and containing blast radius.

A practical primer on AWS IAM covering users, groups, roles, policies, trust relationships, common beginner mistakes (over-permissioning, hardcoded keys), and applying least privilege.

Explains the shared responsibility model, clarifying what cloud providers secure (security of the cloud) versus what customers must secure (security in the cloud), and how responsibility varies by service type.

Explains differences between on-premise and cloud infrastructure with AWS examples, covering cost models, scalability, reliability, and use cases for startups and hybrid deployments.

Step-by-step explanation of the request–response flow: DNS, secure connections, HTTP requests and responses, server processing, CDNs, latency sources, and failure handling.

A reflection on how students should approach learning cloud computing—focusing on systems thinking, failure modes, cost-awareness, and the limits of certifications.

A beginner-oriented guide to core system design building blocks—clients, servers, load balancers, databases, caching, queues, fault tolerance—and practical advice for thinking about trade-offs.