Scenario Matrix Template
About
A Scenario Matrix Template for Scalability Testing is designed to organize and track test cases that evaluate a system’s ability to handle increasing workloads by scaling up (vertical scaling) or scaling out (horizontal scaling). The main goal is to determine how efficiently the system’s performance, resource utilization, and stability improve when more computing resources are added.
This matrix ensures:
The system supports planned user growth without degradation
Scaling mechanisms (manual or auto-scaling) work as intended
Resource consumption remains efficient during scaling
Bottlenecks in application architecture are identified early
Scalability testing scenarios often simulate gradual load increases, infrastructure expansion, database sharding, and distributed processing environments.
Template
Scenario ID
Scenario Description
Preconditions
Test Data / Inputs
Steps to Execute
Expected Result
Priority
Remarks
SCL-01
Gradual increase in concurrent users
Monitoring and scaling tools active
User load increments
Ramp up users gradually
System scales without performance drop
High
Baseline scalability check
SCL-02
Vertical scaling CPU test
Cloud/VM resources adjustable
CPU-bound workload
Increase CPU resources during test
Performance improves proportionally
Medium
Validates vertical scaling
SCL-03
Vertical scaling memory test
Configurable memory allocation
Memory-heavy workload
Increase memory allocation
Reduced memory-related failures
Medium
Ensures efficient memory scaling
SCL-04
Horizontal scaling API nodes
Load balancer configured
API traffic load
Add more nodes to handle load
Throughput increases, latency remains low
High
Key for distributed applications
SCL-05
Auto-scaling trigger validation
Auto-scaling rules set
Spike load beyond threshold
Generate traffic to trigger scaling
Additional resources provisioned in time
High
Cloud scaling readiness check
SCL-06
Database sharding/partition test
Sharded DB setup available
High DB traffic
Distribute load across shards
Query performance remains stable
Medium
Validates DB scalability
SCL-07
Cache layer scaling
Distributed cache available
High read traffic
Increase cache nodes
Reduced DB hits, improved response time
Medium
Improves read performance
SCL-08
Messaging system scaling
Queue system in place
High message volume
Increase consumer instances
Messages processed without backlog
Medium
Ensures event processing capacity
SCL-09
Network throughput scaling
Network monitoring tools ready
Large data transfer
Increase network bandwidth
Data transfer speed improves
Low
Network infrastructure scaling
SCL-10
Cost-performance analysis
Scaling cost metrics available
Load increments
Compare performance gain vs cost
Scaling decisions optimized for ROI
Medium
Helps in infrastructure planning
Last updated