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Standard Risks

This purpose of this page is to provide a menu of risks that me be relevant to your project. The structure is less important than the content in helping provide insight into risks.

Instructions for Use

  • This risk register contains common risks encountered in GitLab Professional Services engagements
  • For each project, review all applicable categories and identify relevant risks
  • Copy relevant risks to your project risk register and customize as needed

Risk Rating Matrix

The levels provided below and subsequent risk score calculation help to visualize severity of risks.

Impact Levels

  • Critical (5): Major project failure, contractual breach, significant financial/reputational damage
  • High (4): Serious delay to critical path, major scope compromise, significant cost overrun
  • Medium (3): Moderate delay, noticeable impact to deliverables, budget impact
  • Low (2): Minor delay, small adjustments to scope, minimal budget impact
  • Negligible (1): Barely noticeable impact to timeline, scope, or budget

Probability Levels

  • Very Likely (5): 80-100% chance of occurrence
  • Likely (4): 60-80% chance of occurrence
  • Possible (3): 40-60% chance of occurrence
  • Unlikely (2): 20-40% chance of occurrence
  • Rare (1): 0-20% chance of occurrence

Risk Score Calculation

  • Risk Score = Impact × Probability
  • High Risk: 15-25
  • Medium Risk: 8-14
  • Low Risk: 1-7

1. Product-Specific Risks

1.1 GitLab Migration Projects

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
MIG-001Source system data quality issues causing migration failures44• Conduct thorough data assessment before migration
• Implement data cleansing procedures
• Run test migrations with representative data samples
MIG-002Complex custom workflows in source system requiring special handling43• Early discovery of custom workflows
• Develop custom migration scripts for edge cases
• Document required workflow changes
MIG-003Incomplete or inaccurate mapping between source and target systems53• Involve SMEs from both systems in mapping
• Validate mapping with stakeholders
• Iterative approach to refine mapping
MIG-004Data volume exceeds expected migration window43• Accurate sizing assessment
• Implement migration in batches
• Test with representative volume
MIG-005Integration dependencies with other systems not identified43• Comprehensive system integration discovery
• Map all integrations and APIs
• Develop integration test plan
MIG-006Source system API limitations or rate limiting impacting migration34• Early API testing
• Request temporary rate limit increases
• Design migration to work within limitations
MIG-007Inadequate downtime window for cutover53• Accurate estimation of cutover time
• Practice runs to validate timing
• Phased approach if possible
MIG-008Historical data loss or corruption during migration52• Complete backup before migration
• Validation scripts to verify data integrity
• Rollback capability
MIG-009User acceptance issues with workflow changes34• Early user involvement
• Change management program
• Training on new workflows
MIG-010Security or compliance requirements not met in target system52• Early security/compliance assessment
• Involve security team in planning
• Formal sign-off on compliance requirements
MIG-011POC phase reveals unexpected environment-specific challenges44• Set clear expectations about POC purpose
• Buffer time in schedule for issue resolution
• Document and prioritize findings for resolution

1.2 GitLab Geo Implementation

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
GEO-001Network bandwidth limitations between sites affecting replication44• Network assessment before implementation
• Bandwidth optimization strategies
• Initial seeding via physical media if necessary
GEO-002Complex firewall rules or network configurations blocking replication43• Early involvement of network team
• Documented network requirements
• Test environment to validate configurations
GEO-003Storage capacity underestimated for repository data33• Accurate sizing assessment
• Growth projections
• Storage monitoring and alerts
GEO-004Database replication lag impacting failover capabilities43• Performance testing under load
• Monitoring for replication lag
• Optimize database configuration
GEO-005Failover procedures not adequately tested53• Comprehensive failover testing plan
• Regular scheduled testing
• Documented recovery procedures
GEO-006Custom modifications to GitLab affecting Geo functionality42• Inventory of customizations
• Test each modification with Geo
• Remediation plan for incompatibilities
GEO-007SSL certificate management issues across sites33• Centralized certificate management
• Automation for certificate renewal
• Monitoring for certificate expiration
GEO-008User authentication/authorization inconsistencies between sites42• Unified authentication strategy
• Test user access scenarios
• Monitoring for permission drift
GEO-009Inadequate monitoring and alerting for Geo health33• Comprehensive monitoring strategy
• Alert thresholds and escalation paths
• Dashboard for Geo health
GEO-010Disaster recovery procedures not aligned with business requirements53• Document RPO/RTO requirements
• Test recovery scenarios
• Validate against business requirements

1.3 GitLab Upgrade Projects

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
UPG-001Custom code or integrations incompatible with target version44• Inventory of customizations
• Review release notes for breaking changes
• Test in staging environment
UPG-002Database schema migration failures during upgrade53• Database health check before upgrade
• Full backup before proceeding
• Test migrations in staging
UPG-003Performance degradation after upgrade43• Baseline performance metrics
• Performance testing in staging
• Resource scaling plan if needed
UPG-004Inadequate rollback plan if upgrade fails53• Comprehensive rollback procedure
• Full backup strategy
• Test rollback in staging
UPG-005Skipping multiple versions leading to complex upgrade path43• Review recommended upgrade path
• Consider incremental upgrades
• Extended testing for large version jumps
UPG-006CI/CD pipeline incompatibilities with new version43• Inventory of all pipeline configurations
• Test representative pipelines
• Update pipeline syntax proactively
UPG-007User interface changes impacting user productivity34• Document UI changes
• User training plan
• Provide quick reference guides
UPG-008Exceeded downtime window during upgrade43• Accurate timing estimation
• Practice runs in staging
• Optimize upgrade steps
UPG-009Infrastructure requirements changed for new version33• Review resource requirements
• Capacity planning
• Infrastructure upgrades in advance
UPG-010Security features or settings reset during upgrade42• Document security configurations
• Validation plan post-upgrade
• Security compliance check

1.4 CI/CD Pipeline Implementation

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
CICD-001Build environments not matching production environments44• Container-based build strategy
• Environment parity validation
• Infrastructure as code approach
CICD-002Pipeline performance issues with large repositories/projects34• Pipeline optimization review
• Caching strategies
• Runner capacity planning
CICD-003Sensitive credentials exposed in pipeline configurations53• Secrets management strategy
• Security scanning for credentials
• Use of CI/CD variables and masked values
CICD-004Lack of standardization across team pipelines34• Pipeline templates
• Documentation standards
• Pipeline linting/validation
CICD-005Complex deployment requirements not supported by standard jobs43• Early discovery of requirements
• Custom deployment scripts
• Testing of complex scenarios
CICD-006Integration with external tools/systems failing33• Integration testing strategy
• Fallback procedures
• Monitoring of integrations
CICD-007Pipeline changes breaking existing workflows43• Change management process
• Parallel pipelines during transition
• Rollback capability
CICD-008Inadequate test coverage in automated pipelines43• Test coverage metrics
• Incremental improvement plan
• Critical path testing priorities
CICD-009Resource constraints for CI/CD runners34• Runner capacity planning
• Autoscaling configuration
• Resource monitoring and alerts
CICD-010Compliance requirements not met in pipeline processes52• Compliance requirements documentation
• Audit trail implementation
• Compliance validation steps

1.5 GitLab Implementation/Onboarding

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
IMP-001User adoption resistance due to workflow changes44• Change management program
• Champions network
• Phased approach with quick wins
IMP-002Project structure not aligned with organizational needs43• Requirements workshops
• Prototyping and feedback
• Flexibility for organizational changes
IMP-003Authentication/authorization strategy complexity43• Early planning with security team
• Phased implementation
• Testing with representative users
IMP-004Incomplete requirements for integrations with existing tools43• Integration discovery workshops
• Prioritization of integrations
• API compatibility assessment
IMP-005Performance issues with large-scale implementation43• Sizing assessment
• Performance testing
• Scalability planning
IMP-006Data migration scope creep from legacy systems34• Clear migration scope definition
• Decision matrix for migration items
• Phased migration approach
IMP-007Training program inadequate for user needs33• Training needs assessment
• Role-based training materials
• Ongoing learning resources
IMP-008Security or compliance requirements not identified52• Security/compliance workshops
• Documentation of requirements
• Validation testing
IMP-009Governance model not established for long-term management34• Governance framework development
• Roles and responsibilities definition
• Documentation of processes
IMP-010Incomplete visibility of total cost of ownership33• TCO analysis
• Resource requirements documentation
• Ongoing maintenance planning

2. General Project Risks

2.1 Resource and Staffing Risks

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
RES-001Key team member unavailability (illness, resignation)43• Cross-training team members
• Documentation of key knowledge
• Backup resources identified
RES-002Resource allocation conflicts with other projects34• Resource management in Kantata
• Early escalation of conflicts
• Buffer in resource planning
RES-003Skill gaps in project team for specific requirements33• Skills assessment early in project
• Training plan for gaps
• External resources if needed
RES-004Customer resource availability lower than expected44• Clear RACI chart
• Escalation to sponsors
• Adjusted timeline based on availability
RES-005Multiple project dependencies on scarce specialist resources43• Resource capacity planning
• Task sequencing to optimize resources
• Knowledge transfer plan

2.2 Schedule and Timeline Risks

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
SCH-001Optimistic estimation of task durations34• Historical data review
• Buffer in critical path
• Regular reassessment of estimates
SCH-002Dependencies on external systems/teams not in project control44• Identify all external dependencies
• Buffer for external delays
• Early engagement with external teams
SCH-003Scope creep extending timeline44• Clear scope definition
• Change control process
• Regular scope reviews
SCH-004Approval and decision delays34• Decision framework established
• Escalation path for delayed decisions
• Regular stakeholder meetings
SCH-005Inadequate time allocated for testing and validation43• Test planning early in project
• Time buffers for defect remediation
• Risk-based testing approach

2.3 Technical and Implementation Risks

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
TECH-001Infrastructure provisioning delays34• Early infrastructure requirements
• Infrastructure as code
• Regular status checks
TECH-002Security or compliance requirements changing mid-project43• Early security/compliance involvement
• Regular reviews
• Change impact assessment
TECH-003Performance issues in production environment43• Performance testing strategy
• Scalability planning
• Monitoring implementation
TECH-004Integration complexity underestimated43• Technical spike for complex integrations
• Proof of concept for high-risk areas
• Early integration testing
TECH-005Technical debt accumulated due to tight deadlines34• Definition of done including quality
• Technical debt tracking
• Refactoring plan

2.4 Customer and Stakeholder Risks

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
STK-001Stakeholder expectations misaligned with project scope44• Stakeholder management plan
• Regular expectation setting
• Clear documentation of scope
STK-002Key stakeholder changes during project33• Stakeholder onboarding process
• Documentation of key decisions
• Regular project status updates
STK-003User resistance to new processes or tools43• Change management plan
• User involvement in design
• Training and support strategy
STK-004Stakeholder communication breakdowns33• Communication plan
• Regular touch points
• Multiple communication channels
STK-005Executive sponsor disengagement42• Regular executive updates
• Clear escalation path
• Value demonstration throughout project

2.5 Commercial and Contractual Risks

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
COM-001Scope interpretation differences between teams43• Detailed SOW with clear deliverables
• Acceptance criteria for deliverables
• Regular scope reviews
COM-002Change requests without proper cost/timeline adjustments44• Formal change control process
• Impact assessment for all changes
• No work without approved changes
COM-003Work exceeding allocated budget43• Regular budget tracking
• Early warning indicators
• Proactive scope management
COM-004Delayed payment affecting project resources32• Clear payment milestones
• Regular financial reporting
• Escalation path for payment issues
COM-005Contractual deliverables acceptance criteria unclear43• Detailed acceptance criteria in SOW
• Sample deliverables where possible
• Progressive deliverable review

2.6 Organizational and Environmental Risks

Risk IDRisk DescriptionImpactProbabilityCommon Mitigation Strategies
ORG-001Organizational restructuring affecting project43• Sponsor commitment during changes
• Regular reassessment of impacts
• Flexible project approach
ORG-002Competing priorities within customer organization34• Executive alignment on priorities
• Regular priority reviews
• Escalation process for conflicts
ORG-003IT policy or governance changes affecting implementation33• Early IT governance involvement
• Regular compliance checks
• Flexibility in implementation approach
ORG-004Working environment challenges (remote work, different time zones)24• Collaboration tools strategy
• Clear working agreements
• Overlap hours for key meetings
ORG-005External factors (market changes, acquisitions, regulations)42• Regular business context reviews
• Flexible project approach
• Business impact assessments

POC Migration Strategy and Expectations

Purpose of the POC Phase

The Proof of Concept (POC) migration phase is a critical discovery period designed to:

  • Validate the migration approach in the customer's specific environment
  • Identify unique technical challenges before full-scale migration
  • Test customized migration scripts with representative data
  • Establish baseline metrics for planning larger migration waves

Setting Proper Customer Expectations

When communicating about the POC phase with customers, emphasize these key points:

  • Exploratory Nature: The POC is intentionally designed to uncover issues early when they're easier and less costly to address. Issues found during POC should be viewed as valuable discoveries rather than failures.

  • Custom Solutions: Each migration requires engineering teams to build customer-specific solutions based on unique requirements and environments. This customization process may require multiple iterations.

  • Anticipated Challenges: During the POC migration phase, engineering teams must build customized solutions based on each customer's unique project requirements and environment. While we anticipate encountering customer-specific challenges, the variable nature of these issues may lead to unexpected complexities that could potentially delay the migration start date.

  • Timeline Flexibility: The POC is a test and isn't always intended to be smooth. We want to see what issues may arise so we can be proactive in resolving them before moving into the migration waves. Schedule buffer should be incorporated after the POC phase.