Cloud Computing
Cloud in Interviews (FAANG)
AWS Solutions Architect and FAANG cloud engineering interviews test three things: designing scalable systems with specific AWS services, reasoning about failure modes and recovery, and articulating trade-offs between architectural choices. Knowing which AWS service exists is table stakes. Explaining when to use each one - and why - distinguishes senior engineers from cloud practitioners.
- Google Cloud architect interviews test structured system design: design a notification system for 1B users, design a URL shortener, design Netflix video delivery. Structured reasoning matters more than the specific services named.
- Stripe's cloud engineering interviews simulate production incidents: a service shows elevated error rates and latency spikes. Candidates diagnose via CloudWatch, X-Ray, and RDS Performance Insights - testing observability skills, not memorized commands.
- Amazon Solutions Architect interviews include on-premises-to-AWS migration design. Expected answers cover the 6 R's framework and migration wave planning with risk and business-value prioritization.
System Design Questions
**System Design Questions** is a foundational pattern in Cloud in Interviews (FAANG). It addresses specific operational, scalability, or cost challenges that cloud-native architectures face at scale.
System Design Questions is a standard topic in AWS Solutions Architect and senior cloud engineering interviews. Understanding the trade-offs and failure modes is more valuable than memorizing the exact API.
What is the primary operational benefit of System Design Questions?
Migration Scenarios
**Migration Scenarios** is a foundational pattern in Cloud in Interviews (FAANG). It addresses specific operational, scalability, or cost challenges that cloud-native architectures face at scale.
Migration Scenarios is a standard topic in AWS Solutions Architect and senior cloud engineering interviews. Understanding the trade-offs and failure modes is more valuable than memorizing the exact API.
What is the primary operational benefit of Migration Scenarios?
Troubleshooting
**Troubleshooting** is a foundational pattern in Cloud in Interviews (FAANG). It addresses specific operational, scalability, or cost challenges that cloud-native architectures face at scale.
Troubleshooting is a standard topic in AWS Solutions Architect and senior cloud engineering interviews. Understanding the trade-offs and failure modes is more valuable than memorizing the exact API.
What is the primary operational benefit of Troubleshooting?
Trade-off Reasoning
**Trade-off Reasoning** is a foundational pattern in Cloud in Interviews (FAANG). It addresses specific operational, scalability, or cost challenges that cloud-native architectures face at scale.
Trade-off Reasoning is a standard topic in AWS Solutions Architect and senior cloud engineering interviews. Understanding the trade-offs and failure modes is more valuable than memorizing the exact API.
Cloud in Interviews (FAANG) is primarily a theoretical concern - real teams just use managed services and ignore architectural patterns
Managed services reduce operational burden but do not eliminate the need for sound architectural decisions about failure modes, scaling, and cost
Managed services handle undifferentiated heavy lifting (patching, backups, failover) but the choice between them, their configuration, and their integration patterns still require deep architectural understanding.
What is the primary operational benefit of Trade-off Reasoning?
Summary
- **System design structure:** clarify requirements -> estimate scale -> choose compute/storage/networking -> handle failures -> discuss trade-offs; this order signals engineering judgment
- **Migration scenarios:** 6 R's (Retire, Retain, Rehost, Replatform, Refactor, Repurchase) framework; wave planning; de-risking stateful workload migration
- **Troubleshooting:** CloudWatch metrics -> identify anomalous service -> X-Ray traces -> find slow dependency -> dig into logs/Performance Insights; hypothesis-driven, not random
- **Trade-off reasoning:** name specific costs and benefits; acknowledge what conditions would change the decision; avoid "it depends" without specifics
Related Topics
These topics form the broader Cloud in Interviews (FAANG) ecosystem:
- Cloud Architecture Design — System design interview answers evaluate Well-Architected Framework pillars - know all five
- Cost Optimization — Cost trade-offs (Reserved vs Spot vs On-Demand) are a common interview sub-question in any system design
- Multi-Account Strategy — Enterprise cloud interviews often include multi-account governance and security design - Landing Zones and SCPs are expected knowledge
Вопросы для размышления
- How does the architecture for Cloud in Interviews (FAANG) change when scaling from 1,000 to 10 million users?
- What are the primary failure modes in a Cloud in Interviews (FAANG) system, and what monitoring detects them before users are affected?
- What trade-offs would change the architectural decision for Cloud in Interviews (FAANG) in a regulated industry with strict data residency requirements?