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Release Engineering and Change Management Questions

Design and operate deployment and release processes that minimize user impact while enabling rapid change. Topics include deployment strategies such as blue green, canary, and rolling updates, feature flagging and progressive delivery, rollback and remediation strategies, database schema migration techniques that avoid downtime, release gating, approval workflows and auditability, disaster recovery and rollback planning, and instrumentation for release observability and post deployment validation. Candidates should also understand change management practices, incident response during releases, minimizing change windows, and cross team coordination between engineering, product, and operations to manage release risk and stakeholder communication.

HardTechnical
18 practiced
Design a metric-driven automated policy (pseudo-code) that decides to continue rollout, pause, or rollback based on composite signals: error rate increase, latency regression, user-transaction success, and SLO burn. Discuss threshold selection, hysteresis to prevent flapping, and how to safely tie this to an automatic rollback action.
HardTechnical
20 practiced
Simulate an on-call timeline: a misconfigured feature flag slipped a regression into production despite a canary. As the on-call SRE, write the sequence of actions you take from detection to resolution, including technical mitigations, stakeholder communications, and immediate post-incident remediation steps.
HardSystem Design
21 practiced
Extend a GitOps pipeline to validate database migration plans before merging. Describe how to collect runtime estimates (historical runs, dry-run sampling), execute safe dry-runs in ephemeral environments, and block merges when estimated runtime or risk exceeds thresholds.
MediumTechnical
20 practiced
Describe how to implement release gating based on SLO consumption. Provide a pseudo-configuration showing a gate that blocks production promotion if the 24-hour error budget burn exceeds 5%, and explain how this integrates into CI/CD automation.
EasyTechnical
21 practiced
Explain progressive delivery and how it leverages feature flags and canaries to reduce release risk. Provide one real-world example of how progressive delivery reduced user impact for a risky change.

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