Description

This curriculum spans the design and coordination of incident, problem, and change processes across application support teams, comparable in scope to a multi-workshop operational readiness program for enterprise IT service management.

Module 1: Incident Management Process Design and Execution

Define incident categorization models that balance granularity with support team usability across multiple application portfolios.
Establish SLA thresholds for P1–P4 incidents based on business impact assessments from application owners and service stakeholders.
Implement escalation paths that integrate with on-call rotation schedules and include automated alerts via ITSM tooling.
Configure incident ticket routing rules to direct issues to correct L2/L3 support teams using application ownership matrices.
Integrate monitoring alerts from APM tools into the ITSM platform to auto-create incidents with enriched context.
Conduct post-incident reviews for major outages and document action items in a centralized follow-up tracker.

Module 2: Problem Management and Root Cause Analysis

Select root cause analysis techniques (e.g., 5 Whys, Fishbone) based on incident complexity and available data sources.
Link recurring incidents to a single problem record and assign to application support leads for resolution planning.
Coordinate with development teams to triage known errors and prioritize permanent fixes in sprint backlogs.
Maintain a known error database (KEDB) with verified workarounds accessible to service desk analysts.
Measure problem resolution effectiveness using metrics such as mean time to resolve (MTTR) and recurrence rate.
Enforce problem record closure criteria requiring validation from both support and business stakeholders.

Module 3: Change Enablement for Application Support Teams

Classify changes (standard, normal, emergency) based on risk profiles defined in coordination with application architects.
Define change advisory board (CAB) participation requirements for application-specific deployments and patches.
Implement pre-change validation checklists that include backup verification and rollback procedure documentation.
Integrate automated deployment tools (e.g., Jenkins, Ansible) with ITSM change records for audit compliance.
Track change failure rates by application and use data to refine deployment readiness assessments.
Enforce emergency change review timelines that require post-implementation review within 72 hours.

Module 4: Application Service Ownership and Support Models

Define RACI matrices for application support activities across service desk, L2, L3, and vendor teams.
Negotiate support coverage agreements for third-party applications including response time expectations and access rights.
Establish application runbooks with documented startup/shutdown procedures, dependency maps, and key contacts.
Assign service owners responsible for maintaining service catalogs and ensuring SLA alignment.
Implement shift handover processes that include unresolved ticket summaries and active monitoring alerts.
Conduct quarterly support model reviews to adjust staffing and tooling based on incident volume trends.

Module 5: Monitoring, Alerting, and Event Correlation

Configure event filters to suppress low-severity alerts that do not meet incident creation thresholds.
Map application health metrics (e.g., response time, error rates) to business transaction criticality.
Integrate synthetic transaction monitoring to detect degradation before user-reported incidents.
Design alert correlation rules to group related events into a single incident to reduce noise.
Validate monitoring coverage during application onboarding by conducting proof-of-life tests.
Rotate alert ownership between shifts using duty schedules synchronized with ITSM escalation policies.

Module 6: Knowledge Management for Application Support

Enforce a mandatory knowledge article creation policy for every resolved P1 and P2 incident.
Structure knowledge base articles using standardized templates that include symptoms, diagnosis steps, and resolution details.
Implement article review cycles with subject matter experts to ensure technical accuracy and currency.
Link knowledge articles directly to incident and problem records to improve resolution efficiency.
Measure knowledge utilization through metrics such as article views, reuse rate, and deflection of service desk contacts.
Restrict editing rights to certified support personnel while allowing read access to service desk analysts.

Module 7: Performance Measurement and Continuous Improvement

Define KPIs for application support teams including first call resolution rate, ticket aging, and SLA compliance.
Produce monthly service performance reports for application owners with trend analysis and improvement recommendations.
Conduct root cause analysis on SLA breaches to identify process gaps or resourcing constraints.
Use customer satisfaction (CSAT) data from support interactions to prioritize training and process changes.
Benchmark support metrics against industry standards for similar application types and deployment models.
Implement improvement initiatives through PDCA cycles with documented outcomes and stakeholder sign-off.

Module 8: Integration of Application Support with DevOps and SRE Practices

Establish feedback loops between support teams and development squads using defect tracking integration.
Participate in sprint planning meetings to understand upcoming changes and prepare support documentation.
Define error budget policies that trigger support capacity adjustments when reliability thresholds are breached.
Collaborate on postmortem reviews for production incidents to align support and development accountability.
Adopt shared dashboards that display real-time application health for both support and engineering teams.
Implement blameless incident reporting culture to encourage transparency and data-driven improvements.