concept#Product#Delivery#Performance#Scalability
Scalability
Scalability refers to a system's ability to handle increased load.
The scalability of a system describes how well it can grow and adapt to increased demands without sacrificing performance.
Maturity
Established
Cognitive loadMedium
Classification
- ComplexityMedium
- Impact areaTechnical
- Decision typeArchitectural
- Organizational maturityAdvanced
Technical context
Integrations
API ServicesDatabasesCloud Platforms
Principles & goals
Efficient Resource UtilizationAdaptabilityPerformance Optimization
Value stream stage
Build
Organizational level
Enterprise, Domain, Team
Use cases & scenarios
Use cases
Scenarios
Compromises
Risks
- Excess costs due to unexpected growth.
- Performance degradation due to improper planning.
- Risk of dependency on cloud providers.
Best practices
- Regular performance review.
- Develop flexible scaling strategies.
- Adhere to security standards.
I/O & resources
Inputs
- Current System Load
- User Requests
- Available Resources
Outputs
- Optimized Performance
- Increased Availability
- Device and Transaction Capacity
Description
The scalability of a system describes how well it can grow and adapt to increased demands without sacrificing performance. Successful scaling allows for efficient resource utilization and optimization of operational costs.
✔Benefits
- Increased User Satisfaction
- Cost Savings through Optimal Resource Use
- Improved System Utilization
✖Limitations
- Not all systems are inherently scalable.
- High initial investments may be required.
- Complexity in implementation may arise.
Trade-offs
Metrics
- Performance Assessment
Measuring the effectiveness of scaling in real-time.
- Resource Utilization
Monitoring the utilization of storage, computing, and network resources.
- User Satisfaction Rate
Assessing user satisfaction during the scaling process.
Examples & implementations
Amazon Web Services
AWS allows flexible scaling of resources based on user demand.
Netflix
Netflix utilizes scalability to serve millions of concurrent users.
Salesforce
Salesforce adjusts its services in real-time to demand.
Implementation steps
1
Evaluate and plan resources.
2
Implement load balancing.
3
Test scaling mechanisms.
⚠️ Technical debt & bottlenecks
Technical debt
- Outdated Technologies
- Weak Infrastructure
- Insufficient Documentation
Known bottlenecks
Infrastructure BottlenecksResource OverutilizationLack of Planning
Misuse examples
- Excessive resource use without adjustment.
- Neglecting user experiences.
- Lack of testing before scaling.
Typical traps
- Too slow to respond to changes.
- Ignoring user feedback.
- Insufficient resource prioritization.
Required skills
Architecture DesignLoad BalancingCloud Technologies
Architectural drivers
Technological InnovationsGrowth of User BaseAdaptation to Market Trends
Constraints
- • Budget Constraints
- • Technological Dependencies
- • Process-oriented Constraints