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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
0 practiced
You need to attribute business metrics (purchases, sign-ups) to specific deployments and feature-flag states. Describe how to link deployment metadata (image SHA, git commit, flag states) into telemetry and analytics. Explain the storage model, indexing strategy, and how analysts should query for rollout impact.
MediumSystem Design
0 practiced
Design an approval workflow and audit trail for high-risk changes that integrates with a GitOps flow. Describe how the workflow enforces product, security, and SRE approvals, prevents bypass, and stores an immutable audit record for compliance review.
MediumTechnical
0 practiced
A recent deployment increased latency only for mobile clients. Describe your investigation steps as on-call SRE, mitigations to reduce user impact while debugging, and the decision criteria for rolling back versus continuing investigation in production.
HardSystem Design
0 practiced
Architect a centralized release platform that supports 200 microservices, allows independent canary rollouts per service, enforces organization-wide approval policies, stores immutable audit logs, and integrates with multiple cloud providers. Describe the high-level components, how policies are enforced, and how the system scales.
MediumTechnical
0 practiced
Explain how a service mesh (for example Istio) can be used to implement advanced canary deployments. Provide examples using traffic-splitting, fault injection, retries, circuit-breakers, and describe safety nets to avoid cascading failures during canary experiments.

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