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Infrastructure Documentation and Change Management Questions

Maintaining accurate infrastructure documentation: architecture diagrams, runbooks, playbooks, configuration baselines. Change management processes: planning, testing, communicating, rolling back if needed. Version control for configuration files and scripts. Infrastructure as Code (IaC) concepts. Communication during outages and changes. Post-change validation.

HardTechnical
62 practiced
A major outage occurs shortly after a config change. Configuration drift is suspected. Walk through your triage process using documentation, version control, state reconciliation, and monitoring. Define decision criteria to choose rollback versus roll-forward, and explain how you would communicate with stakeholders during the incident.
MediumTechnical
83 practiced
You must roll out a backwards-compatible database schema change across a primary and many read replicas in several regions. Describe the planning, testing, gradual rollout approach, observability you would put in place, and clear rollback criteria if the change introduces errors.
MediumTechnical
67 practiced
Write a short Python script (specify language: Python 3) that reads a YAML runbook file and validates required fields: title, owner, steps (non-empty list), severity, and last-tested timestamp. The script should print human-readable errors and exit with non-zero status on failure. Describe edge cases you handle.
HardTechnical
119 practiced
Propose a set of metrics and KPIs to measure the effectiveness of your change management process. For each metric, state the data source, how to compute it, target ranges, and how teams should act when metrics cross thresholds. Include metrics like change success rate, mean time to restore (MTTR), change lead time, and rollback frequency.
HardTechnical
80 practiced
Compare versioning strategies for configuration and artifact management across an enterprise: semantic versioning, timestamped builds, git-commit-hash references, and artifact-repository versions. Recommend a strategy that balances traceability, ability to rollback, and support for reproducible deployments.

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