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System Design questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master system design interviews.

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This is a hard difficulty System Design question, commonly asked during Technical Screen rounds at Lowe's.

What role is this question designed for?

This question is commonly asked for Software Engineer candidates at Lowe's during technical interviews.

Explain cloud computing fundamentals | Lowe's Interview Question

Quick Overview

This question evaluates a candidate's mastery of cloud computing fundamentals and system design competencies, including service models, compute selection, data layer choices, networking and edge, security and secrets management, availability, observability, and delivery/operations.

Design a Cloud-Native, Horizontally Scalable, Fault-Tolerant Web Application for Millions of Users

Context

You are asked to design, deploy, and operate a cloud-based web application that serves millions of users. Assume a major cloud provider, but keep the design cloud-agnostic with examples as needed. Focus on justifications, trade-offs, and operational excellence.

Requirements

Compare cloud service models and usage:
- Contrast IaaS, PaaS, and serverless, and explain when to use each.
Compute layer selection:
- Choose between VMs, containers, and functions as the primary compute. Justify your choice and mention where the others still fit.
Traffic management and statelessness:
- Describe load balancing, autoscaling policies, and stateless service design.
Data layer design:
- Select data stores for different workloads (relational, NoSQL, object storage, in-memory cache). Explain consistency, durability, and backup/restore strategies.
Network and edge:
- Outline VPC, subnets, security groups, firewalls/WAF, NAT, CDN, and apply zero-trust principles.
Security and secrets:
- Plan IAM, secrets management, encryption in transit/at rest, and key rotation.
Availability and resilience:
- Ensure high availability and disaster recovery (multi-AZ/region) with clear RTO/RPO targets.
Observability and cost:
- Implement metrics, logs, traces, SLOs, and cost governance controls.
Delivery and operations:
- Describe CI/CD, Infrastructure as Code (IaC), blue/green and canary releases, and rollback strategies.

Quick Overview

Requirements

Compare cloud service models and usage:

Contrast IaaS, PaaS, and serverless, and explain when to use each.

Compute layer selection:

Choose between VMs, containers, and functions as the primary compute. Justify your choice and mention where the others still fit.

Traffic management and statelessness:

Describe load balancing, autoscaling policies, and stateless service design.

Data layer design:

Select data stores for different workloads (relational, NoSQL, object storage, in-memory cache). Explain consistency, durability, and backup/restore strategies.

Network and edge:

Outline VPC, subnets, security groups, firewalls/WAF, NAT, CDN, and apply zero-trust principles.

Security and secrets:

Plan IAM, secrets management, encryption in transit/at rest, and key rotation.

Availability and resilience:

Ensure high availability and disaster recovery (multi-AZ/region) with clear RTO/RPO targets.

Observability and cost:

Implement metrics, logs, traces, SLOs, and cost governance controls.

Delivery and operations:

Describe CI/CD, Infrastructure as Code (IaC), blue/green and canary releases, and rollback strategies.

Explain cloud computing fundamentals

Quick Overview

Design a Cloud-Native, Horizontally Scalable, Fault-Tolerant Web Application for Millions of Users

Context

Requirements

Solution

Submit Your Answer to Earn 20XP

Explain cloud computing fundamentals

Quick Overview

Design a Cloud-Native, Horizontally Scalable, Fault-Tolerant Web Application for Millions of Users

Context

Requirements

Solution

Submit Your Answer to Earn 20XP