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Deployment Risk Management & Rollback Strategy Questions

Discuss strategies for managing deployment risk: canary deployments (detect issues in subset), feature flags (quick disable without rollback), smoke testing post-deployment. Understand rollback procedures: full rollback (restore previous version), partial rollback (revert specific services). Know how to handle complications like database schema changes that can't simply rollback.

MediumTechnical
83 practiced
Explain how feature-flagging systems (managed or open-source) integrate with CI/CD for progressive rollouts. Cover SDK evaluation models (client vs server), caching, stale flag handling, and performance impact on request latency. What operational checks should SREs add for flag systems?
MediumTechnical
53 practiced
Case: During a phased rollout, 10% of users in region X started seeing failures while other regions are fine. The feature was deployed behind a flag. Outline an incident response plan: diagnosis steps, how to disable the feature safely via flag, customer communication, and post-incident remediation actions to avoid recurrence.
HardSystem Design
57 practiced
Design a GitOps-based rollback automation that can reconstruct a cluster's desired state from commit history, supports multi-cluster heterogeneous environments, and can safely rollback even when manifests were edited directly in a cluster. Include drift detection, reconciliation, and operator approval flows.
EasyTechnical
42 practiced
Explain what a canary deployment is and compare it to blue-green and rolling deployments. Describe typical SRE use cases, the benefits and trade-offs of each approach (risk isolation, infrastructure cost, detection window), and how they change rollback complexity and operational overhead for high-traffic microservices.
EasyTechnical
42 practiced
Describe feature flags (feature toggles): types (release flags, ops flags, experiment flags), lifecycle (creation, targeting, cleanup), common risks (config drift, stale flags), and operational practices SREs should follow when flags are used extensively in production.

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