Description

This curriculum spans the operational lifecycle of enterprise applications with the granularity of a multi-workshop program, addressing real-world coordination challenges across support tiers, development teams, and infrastructure groups.

Module 1: Service Operation Frameworks and Role Integration

Define clear RACI matrices for application management teams across incident, problem, and change processes to avoid role overlap with development and operations.
Integrate application support roles into existing ITIL service operation processes without duplicating responsibilities in DevOps teams.
Establish escalation paths between application managers, service desk, and infrastructure teams for time-critical production issues.
Align application support shifts with business-critical application usage patterns, including off-hours and weekend coverage models.
Negotiate SLA ownership boundaries between application teams and infrastructure teams for shared services such as middleware and databases.
Implement service operation handover checklists when transitioning applications from project to operations, ensuring documentation completeness and support readiness.

Module 2: Application Incident Management

Classify application incidents by technical layer (UI, business logic, integration, data) to route to correct support tier.
Configure monitoring tools to suppress redundant alerts during planned maintenance windows to prevent incident fatigue.
Enforce mandatory root cause field entries in incident tickets to support downstream problem management analysis.
Define criteria for declaring major incidents based on business impact, user count, and transaction volume thresholds.
Integrate application logs with incident management systems using standardized correlation IDs for faster diagnosis.
Conduct post-resolution reviews for high-impact incidents to validate workaround effectiveness and identify process gaps.

Module 3: Application Problem and Known Error Management

Cluster recurring incidents by error signature to identify underlying application problems requiring permanent fixes.
Maintain a known error database (KEDB) with verified workarounds accessible to service desk and L2 support.
Prioritize problem records based on business impact, recurrence frequency, and remediation effort.
Coordinate with development teams to schedule fixes for known errors without disrupting release cycles.
Track temporary workarounds in the KEDB with expiration dates tied to patch deployment timelines.
Validate problem resolution by monitoring incident volume trends before and after fix implementation.

Module 4: Change Enablement for Application Maintenance

Classify application changes as standard, normal, or emergency based on risk, impact, and frequency.
Define peer review requirements for application configuration changes to prevent unauthorized modifications.
Enforce change freeze periods during peak business cycles and coordinate exceptions with change advisory board (CAB).
Require rollback plans for all non-standard application changes, including configuration and patch deployments.
Integrate change records with deployment tools to ensure audit trail consistency across systems.
Measure change success rates by application to identify chronic instability and target improvement efforts.

Module 5: Application Monitoring and Event Management

Define application-specific KPIs (e.g., transaction response time, error rate, session concurrency) for proactive monitoring.
Configure synthetic transactions to validate end-to-end application functionality from user perspective.
Set dynamic thresholds for performance alerts based on historical baselines to reduce false positives.
Correlate events across application, database, and infrastructure layers to isolate root cause faster.
Suppress non-actionable events from batch jobs or scheduled tasks to maintain signal-to-noise ratio.
Integrate monitoring dashboards with on-call rotation tools to ensure timely alert ownership.

Module 6: Application Configuration and Dependency Management

Populate and maintain application configuration items (CIs) in the CMDB with ownership, version, and environment details.
Map application dependencies on middleware, databases, APIs, and third-party services for impact analysis.
Enforce change synchronization between CMDB updates and actual configuration changes in production.
Conduct quarterly audits of application CIs to validate accuracy and completeness.
Use dependency maps to simulate impact of infrastructure outages on business applications.
Integrate CMDB with deployment pipelines to auto-update CI records during releases.

Module 7: Application Performance and Capacity Management

Collect and analyze transaction volume and response time trends to forecast capacity bottlenecks.
Define application scalability thresholds based on user concurrency and data growth projections.
Coordinate capacity tests with business stakeholders to simulate peak load scenarios.
Identify underutilized application instances for consolidation or decommissioning.
Document capacity constraints in service design records to inform future architecture decisions.
Integrate performance metrics into service reviews to justify infrastructure upgrades or code optimization.

Module 8: Application Continuity and Release Coordination

Define recovery time objectives (RTO) and recovery point objectives (RPO) for critical applications in business terms.
Test application failover procedures in non-production environments with realistic data sets.
Coordinate release schedules with operations teams to avoid overlapping maintenance windows.
Ensure rollback procedures are tested and documented for every production release.
Validate backup integrity by restoring application data in isolated environments periodically.
Conduct post-release reviews to assess stability, performance, and incident trends in the first 72 hours.