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

Explain GitOps principles and how they alter the CI/CD workflow for both infrastructure and application deployments. Describe the main benefits and the common pitfalls teams encounter when adopting GitOps at enterprise scale.

EasyTechnical

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Briefly compare horizontal pod autoscaling (HPA), vertical pod autoscaling (VPA), and cluster autoscaling. For each, provide one use case and a limitation that an architect must consider when designing scaling strategies.

EasyTechnical

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As a Solutions Architect, how would you explain the difference between 'orchestration' (e.g., Kubernetes) and 'platform services' (e.g., managed databases, serverless) to a technical engineering manager, and how each option changes deployment strategy and operational responsibilities?

MediumTechnical

0 practiced

Propose a secure workflow for managing secrets that are required both at build-time (CI) and runtime (Kubernetes). Explain injection patterns (vault agents, CSI drivers, environment variables), auditability, rotation, and how to prevent secret leakage in build logs or artifact metadata.

HardSystem Design

0 practiced

Design a multi-tenant orchestration and deployment strategy for a SaaS provider operating across multiple legal jurisdictions. The design must satisfy tenant isolation, data sovereignty, per-tenant configuration, auditability, and minimize operational complexity.

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