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Balance agility and compliance in regulated cloud

AI-drafted, machine-checkedSource: interviewintermediate
WHAT IT TESTS

compliance-aware architecture.

OUTLINE

PaaS for speed where allowed, IaaS where control is required, enforced by encryption, IAM least privilege, network isolation, policy-as-code guardrails, and continuous audit logging.

WHAT THIS TESTS This checks whether you can blend service models and automated controls so a regulated org gets both speed and provable compliance, rather than trading one entirely for the other.

A GOOD ANSWER COVERS Choose the service model per workload. Favor PaaS and managed services for developer agility wherever the compliance regime permits, since the provider handles much of the patching and hardening. Use IaaS where you need fine-grained control, specific OS configurations, or to meet a control the managed service cannot. Layer enforced controls across both: encrypt data at rest and in transit with customer-managed keys where required; enforce least-privilege IAM and segregation of duties; isolate networks with private subnets and private endpoints so services are not internet-exposed; and, critically, express guardrails as policy-as-code, such as service control policies or Azure Policy, so non-compliant resources simply cannot be created. Maintain centralized, immutable audit logging and continuous compliance scanning to demonstrate adherence to auditors. The aim is paved roads: safe defaults developers can use freely.

COMMON WRONG ANSWERS Picking agility with no enforced controls, or locking everything so hard nobody can deliver. Relying on manual review instead of automated guardrails. Forgetting key management or data residency. Treating compliance as a one-time checklist rather than continuous.

LIKELY FOLLOW-UPS How do preventive controls beat detective ones here? How do you prove compliance to an auditor? Data residency across regions? How do you let teams move fast within guardrails?

ONE CONCRETE EXAMPLE A healthcare app runs its API on a managed container or serverless PaaS for speed, but a legacy component needing a specific kernel runs on hardened IaaS VMs. All data uses customer-managed encryption keys, services sit on private endpoints, Azure Policy blocks public storage and unencrypted disks, and every action streams to an immutable central log so auditors can verify HIPAA controls continuously.

Read the original → docs.cloud.google.com

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