Compare cloud compute; design Kubernetes security and CI/CD

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

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This question is commonly asked for Software Engineer candidates at Salesforce during technical interviews.

Question

Compare cloud compute; design Kubernetes security and CI/CD

Cloud Compute Models, Testing Strategies, Kubernetes Deep Dive, Security, and CI/CD to GKE

Context

You are designing and operating services across public clouds. Compare compute models (VMs, containers, serverless) and explain when to choose each on GCP vs AWS. Then discuss testing strategies in cloud environments, deep-dive into Kubernetes (architecture and kubectl workflow), data security for a multi-tenant cluster, and design a CI/CD pipeline that deploys to GKE with rollbacks and canary releases.

Tasks

Compare compute models in public clouds:
- Virtual machines vs containers vs serverless.
- When to choose each on GCP vs AWS. Map to key services.
Testing strategies for cloud services:
- Unit, integration, load/performance, and chaos testing.
- How approaches differ for VMs, containers/Kubernetes, and serverless.
Kubernetes deep dive:
- Control plane vs worker nodes; core components on each.
- Walk through kubectl commands to deploy, scale, roll back, and debug a service.
Data security in a multi-tenant cluster:
- RBAC, network policies, secrets management, encryption in transit and at rest.
CI/CD pipeline for GKE:
- Build, test, scan, and deploy containerized services to GKE.
- Include rollbacks and canary releases.

Clarifying Questions to Ask Guidance

Clarify users, core use cases, read/write patterns, scale, latency, availability, and data retention.
State explicit assumptions before making sizing or architecture decisions.
Prioritize the functional path first, then address reliability, security, observability, and rollout.

What a Strong Answer Covers Guidance

A scoped requirements summary with concrete non-goals and success metrics.
API, data model, architecture, consistency, capacity, and operations.
Reasoned trade-offs among simple and scalable designs, including bottlenecks and failure modes.
A validation, monitoring, migration, and launch plan appropriate for the risk level.

Follow-up Questions Guidance

What breaks first at 10x traffic or data volume?
How would you degrade gracefully during dependency failures?
What metrics and alerts would prove the design is healthy after launch?

Compare cloud compute; design Kubernetes security and CI/CD

Quick Overview

Compare cloud compute; design Kubernetes security and CI/CD

Compare cloud compute; design Kubernetes security and CI/CD

Cloud Compute Models, Testing Strategies, Kubernetes Deep Dive, Security, and CI/CD to GKE

Context

Tasks

Clarifying Questions to Ask Guidance

What a Strong Answer Covers Guidance

Follow-up Questions Guidance

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