Consistency
Consistency refers to the alignment of data and processes within a system and is crucial for reliability.
Classification
- ComplexityMedium
- Impact areaTechnical
- Decision typeArchitectural
- Organizational maturityAdvanced
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Data Conflicts
- System Delays
- Lack of Synchronization
- Conduct Regular Audits
- Train Staff
- Document All Processes
I/O & resources
- Available Data Sources
- Technical Infrastructure
- Resource Capacities
- Consistent User Data
- Updated Information
- Reliable Reports
Description
Consistency is a key principle in software architecture that ensures all parts of a system function harmoniously together. This is especially important in distributed systems where data needs to be synchronized across various components.
✔Benefits
- Increased Reliability
- Better Data Quality
- Optimized Processes
✖Limitations
- Requires extensive testing
- Can cause high complexity
- Potential impact on performance
Trade-offs
Metrics
- Error Rate
Number of erroneous data entries per week.
- System Response Time
The time taken by the system to process a request.
- Customer Satisfaction
Measurement of user satisfaction with the system.
Examples & implementations
Case Study on Data Consistency
A case study illustrating how a company implemented data consistency to reduce errors.
Consistency in Agile Methods
An article on the importance of consistency in agile development methodologies.
Start-up Success Story
A start-up that successfully implemented data consistency to build customer trust.
Implementation steps
Identify Data Sources
Define Consistency Requirements
Conduct Data Integrity Tests
⚠️ Technical debt & bottlenecks
Technical debt
- Insufficient Data Architecture
- Outdated Technologies
- Missing Unified Data View
Known bottlenecks
Misuse examples
- Direct Data Manipulation Without Logging
- Lack of Backup Strategies
- Data Mismatch Between Systems
Typical traps
- Overlooking Data Sources
- Relying on Insufficient Processes
- Poor Communication Within the Team
Required skills
Architectural drivers
Constraints
- • Compliance with data protection regulations
- • Existing IT infrastructure
- • Budget limitations