Introduction
SAP HANA environments may involve multiple technical layers, including database services, application components, operating systems, storage, networking, monitoring, and high-availability mechanisms.

When operational issues occur, the initially visible symptom does not always identify the originating technical layer responsible for the observed behavior. Effective investigation therefore often depends not only on the observed symptom itself, but also on the quality and structure of the operational context collected during the initial investigation phase.

SAP provides self-service resources through SAP Help Portal documentation, SAP Notes, SAP Knowledge Base Articles, SAP HANA cockpit, SAP for Me, Guided Answers, troubleshooting guides, and related support resources.

At the same time, many operational situations still require system-specific investigation by SAP Support.

This article summarizes a documentation-based preparation approach for SAP HANA incident handling using publicly available SAP troubleshooting concepts and support resources.

It does not provide troubleshooting instructions, root-cause conclusions, configuration recommendations, or performance tuning guidance.

Its purpose is to support clearer communication, reduce unnecessary clarification cycles, and help investigation activities focus more efficiently on the affected technical area.

Observable Symptoms and Technical Interpretation
During incident situations, operational discussions sometimes begin with broad conclusions such as:

• “The database is down.”
• “System Replication failed.”
• “Performance is degraded.”
• “Recovery is broken.”
• “Monitoring indicates the database is healthy.”

However, SAP HANA landscapes may involve multiple interacting technical layers, including:

• database runtime
• application processing
• client connectivity
• monitoring infrastructure
• operating-system components
• storage and network infrastructure
• landscape-management components

Observable behavior does not automatically identify the originating technical component responsible for the situation.

For this reason, SAP troubleshooting documentation typically emphasizes monitoring interpretation, timeframe alignment, trace analysis, and correlation of technical observations before conclusions are validated.

Operational preparation therefore begins with collecting observable facts rather than immediately assigning root-cause responsibility.

Initial Self-Service Investigation
During the initial investigation phase, publicly available SAP resources may help clarify whether the observed behavior matches documented operational scenarios.

Examples may include:

These resources may help identify:

• documented operational behavior
• configuration prerequisites
• monitoring interpretation guidance
• operational limitations
• affected technical areas
• related troubleshooting documentation

This initial investigation phase may help narrow the technical scope before SAP Support involvement begins.

Suggested Initial Preparation Flow

When preparing an SAP HANA support incident, a structured preparation approach may help organize the observed situation and support clearer communication during investigation.

The following examples summarize commonly relevant preparation areas based on publicly available SAP troubleshooting concepts.

1. Define the Affected Scope
Examples may include:

• single tenant or complete SAP HANA system
• productive or non-productive environment
• specific application or multiple applications
• single host or multiple hosts
• isolated user impact or broader landscape impact

Defining the affected scope may help align the investigation with the observed operational behavior.

2. Identify the Relevant Timeframe
Examples may include:

• exact timestamp of the first observation
• whether the behavior is continuous or intermittent
• duration of the observed behavior
• whether the issue started after:
  • maintenance activity
  • restart activity
  • takeover activity
  • upgrade or patching activity
  • infrastructure or network changes

Timeframe alignment is frequently important for monitoring interpretation, trace analysis, and correlation of observable system behavior.

3. Collect Observable Monitoring Information
Depending on the scenario, relevant observations may include:

• active SAP HANA alerts
• service status information
• resource utilization observations
• workload-related observations
• replication status information
• backup-related observations
• connectivity-related observations

SAP HANA cockpit, SAP HANA monitoring tools, and SAP HANA system views may support the collection of this information.

The purpose of collecting monitoring information is to document observable system behavior during the affected timeframe.

4. Collect Relevant Diagnosis Information
Depending on the affected technical area, SAP Support may request diagnosis information relevant to the observed timeframe and system scope.

Examples may include diagnosis bundles, logs, traces, or full-system-info-dumps as described in SAP documentation and SAP Knowledge Base Articles.

The relevance of diagnosis information depends on the technical scenario being investigated.

5. Document Already Performed Validation Steps
Examples may include:

• restart attempts
• connectivity validation
• reproduction attempts
• application-level observations
• infrastructure-related observations
• monitoring validation steps

Documenting already performed validation steps may help reduce ambiguity during investigation and support clearer communication between involved teams and SAP Support.

Monitoring and Evidence Collection
SAP HANA documentation describes monitoring and troubleshooting using alerts, monitoring tools, traces, diagnosis information, and related analysis resources.

Depending on the scenario, relevant observations may include:

• SAP HANA alerts
• service status information
• workload-related observations
• resource utilization indicators
• replication status information
• backup-related observations
• connectivity-related observations

SAP HANA cockpit, monitoring interfaces, and SAP HANA diagnosis tools may support the collection and interpretation of this information.

Collected monitoring information may help provide additional technical context during investigation.

Diagnosis Files and Traces
SAP HANA troubleshooting documentation refers to diagnosis files, traces, logs, and related diagnostic tools as part of technical investigation.

Depending on the affected area, SAP Support may request diagnosis information relevant to the affected timeframe and technical scope.

SAP KBA 1732157 describes the collection of SAP HANA diagnosis information, including full-system-info-dumps.

The relevance of diagnosis information depends on the technical scenario being investigated.

Providing diagnosis information together with relevant operational context and timeframe details may help improve investigation alignment and interpretability during analysis.

Choosing the Appropriate SAP Component
The selected SAP support component should reflect the affected technical area as closely as possible.

Examples may include:

• backup and recovery
• system replication
• performance
• connectivity
• SQL processing
• security
• installation and lifecycle management
• cockpit and monitoring

Component selection should ideally reflect the observable technical area rather than an unvalidated root-cause assumption.

Working with SAP Support
SAP Support analysis is based on system-specific evidence collected from the affected environment.

Depending on the scenario, investigation activities may involve:

• trace interpretation
• monitoring correlation
• workload analysis
• topology evaluation
• replication-state analysis
• recovery validation
• connectivity verification

Structured operational context may support clearer communication and investigation alignment during analysis.

Useful incident preparation may therefore include:

• precise timestamps
• reproducibility information
• affected system scope
• business impact
• collected monitoring evidence
• relevant diagnosis information
• already performed validation steps

Conclusion
A structured operational context may help create a clearer shared understanding of the observed situation between involved teams and SAP Support.

SAP HANA investigations may require analysis across multiple technical layers, including database runtime, connectivity, infrastructure, monitoring, and application interaction.

Public SAP documentation and self-service resources may help identify documented operational behavior during the initial investigation phase.

When deeper analysis is required, organized operational context and relevant diagnosis information may support clearer communication, reduce unnecessary clarification cycles, and help investigation activities focus more efficiently on the affected technical area.

References

Disclaimer
This article summarizes publicly available SAP documentation and general troubleshooting concepts.

It does not replace SAP documentation, SAP Notes, SAP Knowledge Base Articles, or SAP Support procedures.

Only official SAP documentation and SAP Notes are authoritative.