Deployment Orchestration and Cloud Platforms Questions

Design deployment architecture and orchestration for applications and infrastructure on cloud platforms. Topics include containerization and container orchestration systems, how orchestration and platform services affect deployment strategy, operational considerations for scaling and reliability, integration of monitoring and logging, and decision criteria for when orchestration adds value. Candidates should be able to describe deployment models for monoliths and microservices, patterns for scaling and resilience, and cloud native considerations such as managed services, auto scaling policies, and environment separation.

EasyTechnical

0 practiced

Write a Kubernetes Deployment YAML (minimal but complete) for a stateless web application named 'webapp' using image 'example/webapp:1.0', 3 replicas, with a rollingUpdate strategy configured as maxUnavailable: 1 and maxSurge: 1. Include metadata labels and container port 80.

EasyTechnical

0 practiced

What are deployment release gates? Provide three concrete examples of gates (automated or manual) you would include in a production release pipeline for an enterprise SaaS product and explain why each is important.

HardSystem Design

0 practiced

A platform hosts thousands of microservices across many teams. Architect a deployment orchestration strategy that scales CI/CD infrastructure, prevents noisy-neighbor issues, ensures platform stability, and preserves team autonomy. Consider build runners, quotaing, resource isolation, centralized tooling, and governance.

MediumTechnical

0 practiced

As an architect, design a CI/CD pipeline that enforces security checks (SAST, dependency scanning, container image scanning, SBOM generation) while minimizing developer friction. Specify which checks run locally, in CI pre-merge, in pipeline, and which are gating versus advisory.

MediumTechnical

0 practiced

You must recommend an Infrastructure-as-Code strategy and workflow across multiple cloud accounts. Choose tooling (e.g., Terraform, CloudFormation, Pulumi), explain state management, drift detection, plan/apply workflows, and how you would enforce guardrails (policy-as-code) and remediate drift.

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