it-operations

•

24.4k23983 months ago

Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence practices.

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npxskills add davila7/claude-code-templates--skill it-operations

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IT Operations Expert

A comprehensive skill for managing IT infrastructure operations, ensuring service reliability, implementing monitoring and alerting strategies, managing incidents, and maintaining operational excellence through automation and best practices.

Core Principles

1. Service Reliability First

Proactive Monitoring: Implement comprehensive observability before incidents occur
Incident Management: Structured response processes with clear escalation paths
SLA/SLO Management: Define and maintain service level objectives aligned with business needs
Continuous Improvement: Learn from incidents through blameless post-mortems

2. Automation Over Manual Processes

Infrastructure as Code: Manage infrastructure configuration through version-controlled code
Runbook Automation: Convert manual procedures into automated workflows
Self-Healing Systems: Implement automated remediation for common issues
Configuration Management: Maintain consistency across environments

3. ITIL Service Management

Service Strategy: Align IT services with business objectives
Service Design: Design resilient, scalable services
Service Transition: Manage changes with minimal disruption
Service Operation: Deliver and support services effectively
Continual Service Improvement: Iteratively enhance service quality

4. Operational Excellence

Documentation: Maintain current runbooks, procedures, and architecture diagrams
Knowledge Management: Build searchable knowledge bases from incident resolutions
Capacity Planning: Forecast and provision resources proactively
Cost Optimization: Balance performance requirements with infrastructure costs

Core Workflow

Infrastructure Operations Workflow

1. MONITORING & OBSERVABILITY
   ├─ Define SLIs/SLOs/SLAs for critical services
   ├─ Implement metrics collection (infrastructure, application, business)
   ├─ Configure alerting with proper thresholds and escalation
   ├─ Build dashboards for different audiences (ops, devs, executives)
   └─ Establish on-call rotation and escalation procedures

2. INCIDENT MANAGEMENT
   ├─ Receive alert or user report
   ├─ Assess severity and impact (P1/P2/P3/P4)
   ├─ Engage appropriate responders
   ├─ Investigate and diagnose root cause
   ├─ Implement fix or workaround
   ├─ Communicate status to stakeholders
   ├─ Document resolution in knowledge base
   └─ Conduct post-incident review

3. CHANGE MANAGEMENT
   ├─ Submit change request with impact assessment
   ├─ Review and approve through CAB (Change Advisory Board)
   ├─ Schedule change window
   ├─ Execute change with rollback plan ready
   ├─ Validate success criteria
   ├─ Document actual vs planned results
   └─ Close change ticket

4. CAPACITY PLANNING
   ├─ Collect resource utilization trends
   ├─ Analyze growth patterns
   ├─ Forecast future requirements
   ├─ Plan procurement or provisioning
   ├─ Execute capacity additions
   └─ Monitor effectiveness

5. AUTOMATION & OPTIMIZATION
   ├─ Identify repetitive manual tasks
   ├─ Document current process
   ├─ Design automated solution
   ├─ Implement and test automation
   ├─ Deploy to production
   ├─ Measure time/cost savings
   └─ Iterate and improve

Decision Frameworks

Alert Configuration Decision Matrix

Scenario	Alert Type	Threshold	Response Time	Escalation
Service completely down	Page	Immediate	< 5 min	Immediate to on-call
Service degraded	Page	2-3 failures	< 15 min	After 15 min to on-call
High resource usage	Warning	> 80% sustained	< 1 hour	After 2 hours to team lead
Approaching capacity	Info	> 70% trend	< 24 hours	Weekly capacity review
Configuration drift	Ticket	Any deviation	< 7 days	Monthly review

Incident Severity Classification

Priority 1 (Critical)

Complete service outage affecting all users
Data loss or security breach
Financial impact > $10K/hour
Response: Immediate, 24/7, all hands on deck

Priority 2 (High)

Partial service outage affecting many users
Significant performance degradation
Financial impact $1K-$10K/hour
Response: < 30 minutes during business hours

Priority 3 (Medium)

Service degradation affecting some users
Non-critical functionality impaired
Workaround available
Response: < 4 hours during business hours

Priority 4 (Low)

Minor issues with minimal impact
Cosmetic problems
Enhancement requests
Response: Next business day

Change Management Risk Assessment

Risk Level = Impact × Likelihood × Complexity

Impact (1-5):
1 = Single user
2 = Team
3 = Department
4 = Company-wide
5 = Customer-facing

Likelihood of Issues (1-5):
1 = Routine, tested
2 = Familiar, documented
3 = Some uncertainty
4 = New territory
5 = Never done before

Complexity (1-5):
1 = Single component
2 = Few components
3 = Multiple systems
4 = Cross-platform
5 = Enterprise-wide

Risk Score Interpretation:
1-20: Standard change (pre-approved)
21-50: Normal change (CAB review)
51-75: High-risk change (extensive testing, senior approval)
76-125: Emergency change only (executive approval)

Monitoring Tool Selection

Requirement	Prometheus + Grafana	Datadog	New Relic	ELK Stack	Splunk
Cost	Free (self-hosted)	$$$$	$$$$	Free-$$	$$$$$
Metrics	Excellent	Excellent	Excellent	Good	Good
Logs	Via Loki	Excellent	Excellent	Excellent	Excellent
Traces	Via Tempo	Excellent	Excellent	Limited	Good
Learning Curve	Steep	Moderate	Moderate	Steep	Steep

Common Operational Challenges

Challenge 1: Alert Fatigue

Problem: Too many false positive alerts causing team burnout

Solution:

Alert Tuning Process:
1. Measure baseline alert volume and false positive rate
2. Categorize alerts by actionability:
   - Actionable + Urgent = Keep as page
   - Actionable + Not Urgent = Ticket
   - Not Actionable = Remove or convert to dashboard metric
3. Implement alert aggregation (group similar alerts)
4. Add context to alerts (runbook links, relevant metrics)
5. Regular review meetings (weekly) to tune thresholds
6. Track metrics:
   - MTTA (Mean Time to Acknowledge): < 5 min target
   - False Positive Rate: < 20% target
   - Alert Volume per Week: Trending down

Challenge 2: Incident Documentation During Crisis

Problem: Teams skip documentation during high-pressure incidents

Solution:

Assign dedicated scribe role (not the incident commander)
Use incident management tools (PagerDuty, Opsgenie) with automatic timeline
Template-based incident reports with required fields
Post-incident review scheduled automatically (within 48 hours)
Gamify documentation (track and recognize thorough documentation)

Challenge 3: Knowledge Silos

Problem: Critical knowledge trapped in individual team members' heads

Solution:

Knowledge Transfer Strategy:
- Pair Programming/Shadowing: 20% of sprint capacity
- Runbook Requirements: Every system must have runbook
- Lunch & Learn Sessions: Weekly 30-min knowledge sharing
- Cross-Training Matrix: Track who knows what, identify gaps
- On-Call Rotation: Everyone rotates to spread knowledge
- Post-Incident Reviews: Mandatory team sharing
- Documentation Sprints: Quarterly focus on doc completion

Challenge 4: Balancing Stability vs Innovation

Problem: Operations team resists change to maintain stability

Solution:

Implement change windows (planned maintenance periods)
Use blue-green or canary deployments for lower risk
Establish "innovation time" (Google 20% time model)
Create sandbox environments for experimentation
Measure and reward both stability AND improvement metrics
Include "toil reduction" as OKR target

Key Metrics & KPIs

Service Reliability Metrics

Availability:
  Formula: (Total Time - Downtime) / Total Time × 100
  Target: 99.9% (43.8 min/month downtime)
  Measurement: Per service, monthly

MTTR (Mean Time to Recovery):
  Formula: Sum of recovery times / Number of incidents
  Target: < 30 minutes for P1, < 4 hours for P2
  Measurement: Per severity level, monthly

MTBF (Mean Time Between Failures):
  Formula: Total operational time / Number of failures
  Target: > 720 hours (30 days)
  Measurement: Per service, quarterly

MTTA (Mean Time to Acknowledge):
  Formula: Sum of acknowledgment times / Number of alerts
  Target: < 5 minutes for pages
  Measurement: Per on-call engineer, weekly

Change Success Rate:
  Formula: Successful changes / Total changes × 100
  Target: > 95%
  Measurement: Monthly

Incident Recurrence Rate:
  Formula: Repeat incidents / Total incidents × 100
  Target: < 10%
  Measurement: Quarterly (same root cause within 90 days)

Operational Efficiency Metrics

Toil Percentage:
  Definition: Time spent on manual, repetitive tasks
  Target: < 30% of team capacity
  Measurement: Weekly time tracking

Automation Coverage:
  Formula: Automated tasks / Total repetitive tasks × 100
  Target: > 70%
  Measurement: Quarterly audit

On-Call Load:
  Formula: Alerts per on-call shift
  Target: < 5 actionable alerts per shift
  Measurement: Per engineer, weekly

Runbook Coverage:
  Formula: Services with runbooks / Total services × 100
  Target: 100%
  Measurement: Monthly audit

Knowledge Base Utilization:
  Formula: Incidents resolved via KB / Total incidents × 100
  Target: > 40%
  Measurement: Monthly

Integration Points

With Development Teams

Participate in design reviews for operational requirements
Provide deployment automation and CI/CD pipeline support
Share monitoring and logging requirements
Collaborate on incident response and post-mortems
Joint ownership of SLOs and error budgets

With Security Teams

Implement security monitoring and alerting
Manage access controls and authentication systems
Coordinate vulnerability patching and remediation
Conduct security incident response
Maintain compliance with security policies

With Business Stakeholders

Report on service availability and performance
Communicate planned maintenance windows
Provide capacity planning forecasts
Translate technical metrics to business impact
Participate in business continuity planning

Best Practices

1. Blameless Post-Mortems

Post-Incident Review Template:
- Incident Summary (what happened, when, impact)
- Timeline of Events (detailed chronology)
- Root Cause Analysis (5 Whys or Fishbone)
- What Went Well (strengths during response)
- What Could Be Improved (opportunities)
- Action Items (with owners and due dates)
- Lessons Learned (shareable insights)

Rules:
- No blame or punishment
- Focus on systems and processes, not people
- Everyone can speak freely
- Action items must be tracked to completion

2. Runbook Standards

Runbook Contents:
  - Service Overview: Purpose, dependencies, architecture
  - SLIs/SLOs/SLAs: Defined thresholds and targets
  - Common Issues: Symptoms, causes, solutions
  - Troubleshooting Steps: Step-by-step procedures
  - Escalation Paths: Who to contact and when
  - Useful Commands: Copy-paste ready commands
  - Dashboard Links: Direct links to relevant dashboards
  - Recent Changes: Link to change log
  - Contact Information: Team, product owner, SMEs

Maintenance:
  - Review quarterly or after major incidents
  - Test procedures during low-traffic periods
  - Update after every significant change
  - Track usage metrics (page views, helpfulness ratings)

3. On-Call Best Practices

On-Call Preparation:
  - Laptop with VPN access
  - Mobile device with notification apps
  - Contact list (escalation paths)
  - Access to all critical systems
  - Runbooks bookmarked
  - Backup on-call identified

During On-Call:
  - Acknowledge alerts within 5 minutes
  - Update incident status regularly
  - Follow escalation procedures
  - Document all actions in incident ticket
  - Handoff clearly to next on-call

Post On-Call:
  - Complete incident reports
  - Submit toil reduction tickets
  - Provide feedback on runbooks
  - Update on-call documentation

4. Change Management Discipline

Standard Change Process:
  1. Create change request (RFC)
  2. Document:
     - What: Specific changes being made
     - Why: Business justification
     - When: Proposed date/time
     - Who: Change implementer and approver
     - How: Step-by-step procedure
     - Risk: Assessment and mitigation
     - Rollback: Detailed rollback plan
     - Testing: Validation steps
  3. Submit for CAB review (7 days advance notice)
  4. Implement during approved window
  5. Validate success criteria
  6. Close change with actual results
  7. Post-implementation review if issues occurred

Emergency Change Process:
  - Executive approval required
  - Implement with heightened monitoring
  - Full team notification
  - Complete documentation within 24 hours
  - Mandatory post-change review

Reference Files

For detailed technical guidance, see:

reference/monitoring.md - Observability, metrics, alerting, and dashboard design
reference/incident-management.md - Incident response, root cause analysis, post-mortems
reference/infrastructure.md - Server management, network operations, capacity planning
reference/automation.md - Scripting, configuration management, orchestration tools
reference/backup-recovery.md - Backup strategies, disaster recovery, business continuity

Getting Started

For New Infrastructure: Start with reference/infrastructure.md for setup guidance
For Monitoring Setup: Review reference/monitoring.md for observability strategy
For Incident Response: See reference/incident-management.md for procedures
For Automation Projects: Check reference/automation.md for tooling recommendations
For DR Planning: Consult reference/backup-recovery.md for recovery strategies

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Tags & Topics

anthropicanthropic-claudeclaudeclaude-code

IT Operations Expert

Core Principles

1. Service Reliability First

Proactive Monitoring: Implement comprehensive observability before incidents occur
Incident Management: Structured response processes with clear escalation paths
SLA/SLO Management: Define and maintain service level objectives aligned with business needs
Continuous Improvement: Learn from incidents through blameless post-mortems

2. Automation Over Manual Processes

Infrastructure as Code: Manage infrastructure configuration through version-controlled code
Runbook Automation: Convert manual procedures into automated workflows
Self-Healing Systems: Implement automated remediation for common issues
Configuration Management: Maintain consistency across environments

3. ITIL Service Management

Service Strategy: Align IT services with business objectives
Service Design: Design resilient, scalable services
Service Transition: Manage changes with minimal disruption
Service Operation: Deliver and support services effectively
Continual Service Improvement: Iteratively enhance service quality

4. Operational Excellence

Documentation: Maintain current runbooks, procedures, and architecture diagrams
Knowledge Management: Build searchable knowledge bases from incident resolutions
Capacity Planning: Forecast and provision resources proactively
Cost Optimization: Balance performance requirements with infrastructure costs

Core Workflow

Infrastructure Operations Workflow

1. MONITORING & OBSERVABILITY
   ├─ Define SLIs/SLOs/SLAs for critical services
   ├─ Implement metrics collection (infrastructure, application, business)
   ├─ Configure alerting with proper thresholds and escalation
   ├─ Build dashboards for different audiences (ops, devs, executives)
   └─ Establish on-call rotation and escalation procedures

2. INCIDENT MANAGEMENT
   ├─ Receive alert or user report
   ├─ Assess severity and impact (P1/P2/P3/P4)
   ├─ Engage appropriate responders
   ├─ Investigate and diagnose root cause
   ├─ Implement fix or workaround
   ├─ Communicate status to stakeholders
   ├─ Document resolution in knowledge base
   └─ Conduct post-incident review

3. CHANGE MANAGEMENT
   ├─ Submit change request with impact assessment
   ├─ Review and approve through CAB (Change Advisory Board)
   ├─ Schedule change window
   ├─ Execute change with rollback plan ready
   ├─ Validate success criteria
   ├─ Document actual vs planned results
   └─ Close change ticket

4. CAPACITY PLANNING
   ├─ Collect resource utilization trends
   ├─ Analyze growth patterns
   ├─ Forecast future requirements
   ├─ Plan procurement or provisioning
   ├─ Execute capacity additions
   └─ Monitor effectiveness

5. AUTOMATION & OPTIMIZATION
   ├─ Identify repetitive manual tasks
   ├─ Document current process
   ├─ Design automated solution
   ├─ Implement and test automation
   ├─ Deploy to production
   ├─ Measure time/cost savings
   └─ Iterate and improve

Decision Frameworks

Alert Configuration Decision Matrix

Scenario	Alert Type	Threshold	Response Time	Escalation
Service completely down	Page	Immediate	< 5 min	Immediate to on-call
Service degraded	Page	2-3 failures	< 15 min	After 15 min to on-call
High resource usage	Warning	> 80% sustained	< 1 hour	After 2 hours to team lead
Approaching capacity	Info	> 70% trend	< 24 hours	Weekly capacity review
Configuration drift	Ticket	Any deviation	< 7 days	Monthly review

Incident Severity Classification

Priority 1 (Critical)

Complete service outage affecting all users
Data loss or security breach
Financial impact > $10K/hour
Response: Immediate, 24/7, all hands on deck

Priority 2 (High)

Partial service outage affecting many users
Significant performance degradation
Financial impact $1K-$10K/hour
Response: < 30 minutes during business hours

Priority 3 (Medium)

Service degradation affecting some users
Non-critical functionality impaired
Workaround available
Response: < 4 hours during business hours

Priority 4 (Low)

Minor issues with minimal impact
Cosmetic problems
Enhancement requests
Response: Next business day

Change Management Risk Assessment

Risk Level = Impact × Likelihood × Complexity

Impact (1-5):
1 = Single user
2 = Team
3 = Department
4 = Company-wide
5 = Customer-facing

Likelihood of Issues (1-5):
1 = Routine, tested
2 = Familiar, documented
3 = Some uncertainty
4 = New territory
5 = Never done before

Complexity (1-5):
1 = Single component
2 = Few components
3 = Multiple systems
4 = Cross-platform
5 = Enterprise-wide

Risk Score Interpretation:
1-20: Standard change (pre-approved)
21-50: Normal change (CAB review)
51-75: High-risk change (extensive testing, senior approval)
76-125: Emergency change only (executive approval)

Monitoring Tool Selection

Requirement	Prometheus + Grafana	Datadog	New Relic	ELK Stack	Splunk
Cost	Free (self-hosted)	$$$$	$$$$	Free-$$	$$$$$
Metrics	Excellent	Excellent	Excellent	Good	Good
Logs	Via Loki	Excellent	Excellent	Excellent	Excellent
Traces	Via Tempo	Excellent	Excellent	Limited	Good
Learning Curve	Steep	Moderate	Moderate	Steep	Steep

Common Operational Challenges

Challenge 1: Alert Fatigue

Problem: Too many false positive alerts causing team burnout

Solution:

Alert Tuning Process:
1. Measure baseline alert volume and false positive rate
2. Categorize alerts by actionability:
   - Actionable + Urgent = Keep as page
   - Actionable + Not Urgent = Ticket
   - Not Actionable = Remove or convert to dashboard metric
3. Implement alert aggregation (group similar alerts)
4. Add context to alerts (runbook links, relevant metrics)
5. Regular review meetings (weekly) to tune thresholds
6. Track metrics:
   - MTTA (Mean Time to Acknowledge): < 5 min target
   - False Positive Rate: < 20% target
   - Alert Volume per Week: Trending down

Challenge 2: Incident Documentation During Crisis

Problem: Teams skip documentation during high-pressure incidents

Solution:

Assign dedicated scribe role (not the incident commander)
Use incident management tools (PagerDuty, Opsgenie) with automatic timeline
Template-based incident reports with required fields
Post-incident review scheduled automatically (within 48 hours)
Gamify documentation (track and recognize thorough documentation)

Challenge 3: Knowledge Silos

Problem: Critical knowledge trapped in individual team members' heads

Solution:

Knowledge Transfer Strategy:
- Pair Programming/Shadowing: 20% of sprint capacity
- Runbook Requirements: Every system must have runbook
- Lunch & Learn Sessions: Weekly 30-min knowledge sharing
- Cross-Training Matrix: Track who knows what, identify gaps
- On-Call Rotation: Everyone rotates to spread knowledge
- Post-Incident Reviews: Mandatory team sharing
- Documentation Sprints: Quarterly focus on doc completion

Challenge 4: Balancing Stability vs Innovation

Problem: Operations team resists change to maintain stability

Solution:

Implement change windows (planned maintenance periods)
Use blue-green or canary deployments for lower risk
Establish "innovation time" (Google 20% time model)
Create sandbox environments for experimentation
Measure and reward both stability AND improvement metrics
Include "toil reduction" as OKR target

Key Metrics & KPIs

Service Reliability Metrics

Availability:
  Formula: (Total Time - Downtime) / Total Time × 100
  Target: 99.9% (43.8 min/month downtime)
  Measurement: Per service, monthly

MTTR (Mean Time to Recovery):
  Formula: Sum of recovery times / Number of incidents
  Target: < 30 minutes for P1, < 4 hours for P2
  Measurement: Per severity level, monthly

MTBF (Mean Time Between Failures):
  Formula: Total operational time / Number of failures
  Target: > 720 hours (30 days)
  Measurement: Per service, quarterly

MTTA (Mean Time to Acknowledge):
  Formula: Sum of acknowledgment times / Number of alerts
  Target: < 5 minutes for pages
  Measurement: Per on-call engineer, weekly

Change Success Rate:
  Formula: Successful changes / Total changes × 100
  Target: > 95%
  Measurement: Monthly

Incident Recurrence Rate:
  Formula: Repeat incidents / Total incidents × 100
  Target: < 10%
  Measurement: Quarterly (same root cause within 90 days)

Operational Efficiency Metrics

Toil Percentage:
  Definition: Time spent on manual, repetitive tasks
  Target: < 30% of team capacity
  Measurement: Weekly time tracking

Automation Coverage:
  Formula: Automated tasks / Total repetitive tasks × 100
  Target: > 70%
  Measurement: Quarterly audit

On-Call Load:
  Formula: Alerts per on-call shift
  Target: < 5 actionable alerts per shift
  Measurement: Per engineer, weekly

Runbook Coverage:
  Formula: Services with runbooks / Total services × 100
  Target: 100%
  Measurement: Monthly audit

Knowledge Base Utilization:
  Formula: Incidents resolved via KB / Total incidents × 100
  Target: > 40%
  Measurement: Monthly

Integration Points

With Development Teams

Participate in design reviews for operational requirements
Provide deployment automation and CI/CD pipeline support
Share monitoring and logging requirements
Collaborate on incident response and post-mortems
Joint ownership of SLOs and error budgets

With Security Teams

Implement security monitoring and alerting
Manage access controls and authentication systems
Coordinate vulnerability patching and remediation
Conduct security incident response
Maintain compliance with security policies

With Business Stakeholders

Report on service availability and performance
Communicate planned maintenance windows
Provide capacity planning forecasts
Translate technical metrics to business impact
Participate in business continuity planning

Best Practices

1. Blameless Post-Mortems

Post-Incident Review Template:
- Incident Summary (what happened, when, impact)
- Timeline of Events (detailed chronology)
- Root Cause Analysis (5 Whys or Fishbone)
- What Went Well (strengths during response)
- What Could Be Improved (opportunities)
- Action Items (with owners and due dates)
- Lessons Learned (shareable insights)

Rules:
- No blame or punishment
- Focus on systems and processes, not people
- Everyone can speak freely
- Action items must be tracked to completion

2. Runbook Standards

Runbook Contents:
  - Service Overview: Purpose, dependencies, architecture
  - SLIs/SLOs/SLAs: Defined thresholds and targets
  - Common Issues: Symptoms, causes, solutions
  - Troubleshooting Steps: Step-by-step procedures
  - Escalation Paths: Who to contact and when
  - Useful Commands: Copy-paste ready commands
  - Dashboard Links: Direct links to relevant dashboards
  - Recent Changes: Link to change log
  - Contact Information: Team, product owner, SMEs

Maintenance:
  - Review quarterly or after major incidents
  - Test procedures during low-traffic periods
  - Update after every significant change
  - Track usage metrics (page views, helpfulness ratings)

3. On-Call Best Practices

On-Call Preparation:
  - Laptop with VPN access
  - Mobile device with notification apps
  - Contact list (escalation paths)
  - Access to all critical systems
  - Runbooks bookmarked
  - Backup on-call identified

During On-Call:
  - Acknowledge alerts within 5 minutes
  - Update incident status regularly
  - Follow escalation procedures
  - Document all actions in incident ticket
  - Handoff clearly to next on-call

Post On-Call:
  - Complete incident reports
  - Submit toil reduction tickets
  - Provide feedback on runbooks
  - Update on-call documentation

4. Change Management Discipline

Standard Change Process:
  1. Create change request (RFC)
  2. Document:
     - What: Specific changes being made
     - Why: Business justification
     - When: Proposed date/time
     - Who: Change implementer and approver
     - How: Step-by-step procedure
     - Risk: Assessment and mitigation
     - Rollback: Detailed rollback plan
     - Testing: Validation steps
  3. Submit for CAB review (7 days advance notice)
  4. Implement during approved window
  5. Validate success criteria
  6. Close change with actual results
  7. Post-implementation review if issues occurred

Emergency Change Process:
  - Executive approval required
  - Implement with heightened monitoring
  - Full team notification
  - Complete documentation within 24 hours
  - Mandatory post-change review

Reference Files

For detailed technical guidance, see:

reference/monitoring.md - Observability, metrics, alerting, and dashboard design
reference/incident-management.md - Incident response, root cause analysis, post-mortems
reference/infrastructure.md - Server management, network operations, capacity planning
reference/automation.md - Scripting, configuration management, orchestration tools
reference/backup-recovery.md - Backup strategies, disaster recovery, business continuity

Getting Started

For New Infrastructure: Start with reference/infrastructure.md for setup guidance
For Monitoring Setup: Review reference/monitoring.md for observability strategy
For Incident Response: See reference/incident-management.md for procedures
For Automation Projects: Check reference/automation.md for tooling recommendations
For DR Planning: Consult reference/backup-recovery.md for recovery strategies