method#Observability#Reliability#Resource Optimization#Usage Monitoring
Usage Monitoring
A process for monitoring and analyzing the use of resources.
Usage monitoring is a systematic approach to capturing and analyzing resource usage in an organization.
Maturity
Established
Cognitive loadMedium
Classification
- ComplexityMedium
- Impact areaBusiness
- Decision typeOrganizational
- Organizational maturityIntermediate
Technical context
Integrations
SAP systemsREST APIsCloud services
Principles & goals
Transparency of resource usageContinuous improvementData-driven management
Value stream stage
Run
Organizational level
Enterprise, Domain, Team
Use cases & scenarios
Use cases
Scenarios
Compromises
Risks
- Incorrect data interpretation
- Dependency on tools
- Implementation costs
Best practices
- Regular reviews
- Documentation of processes
- Gather feedback
I/O & resources
Inputs
- Access to operational data
- Installed monitoring tools
- Consolidated data sources
Outputs
- Real-time monitoring reports
- Optimization analyses
- Operational decisions based on data
Resources
Description
Usage monitoring is a systematic approach to capturing and analyzing resource usage in an organization. It enables organizations to identify inefficient usage and recognize potential for improvement.
✔Benefits
- Improved resource utilization
- Early problem detection
- Optimized costs
✖Limitations
- Requires accurate data sources
- Can be complex
- Potential data privacy issues
Trade-offs
Metrics
- CPU Usage
Measures the percentage of CPU time being utilized.
- Memory Usage
Shows the percentage of available memory currently being used.
- Network Traffic
Captures the amount of incoming and outgoing network traffic.
Examples & implementations
Simple Implementation in Company
A company optimized its resource use by implementing a new monitoring system.
Improvement of Server Performance
By using monitoring data, a team was able to significantly improve server performance.
Optimization after Data Analysis
Analysis of usage data led to the introduction of more efficient processes.
Implementation steps
1
Needs assessment
2
Tool selection
3
Implementation of monitoring solutions
⚠️ Technical debt & bottlenecks
Technical debt
- Legacy systems that are not integrated
- Outdated monitoring tools
- Lack of data updating
Known bottlenecks
Data availabilitySystem loadUser acceptance
Misuse examples
- Monitoring data only sporadically
- Lack of access to required data
- Misunderstanding monitoring data
Typical traps
- Insufficient training
- Not considering user feedback
- Insufficient resources during implementation
Required skills
Knowledge in network managementAnalytical skillsExperience with monitoring tools
Architectural drivers
Scalability of architectureData securitySystem reliability
Constraints
- • Regulatory requirements on data protection
- • Use of secure networks required
- • Accuracy of data collection