Performance Engineering
Transformation from Performance testing to Performance Engineering
Goal of Performance Testing
Validate reliability, consistency of application/system to support business growth. SmartQE helps assess your system’s capacity for growth and compares application performance on different load levels, expedite the performance testing activities with integration of Performance Test accelerators & execute the tests on different platforms and Cloud
Performance Testing Services
Network Testing
Compares the performance of a new or unknown server to a known reference standard, such as existing software or measurements
Load Testing
Testing the service level when put under real world volumes of data
Stress Testing
Testing the maximum load of transactions/users that can be handled until breakpoint
Volume Testing
Handling large amount of data
Endurance Testing
To find problems that flow over a period of time, during continuous and Repetitive transactions
Spike Testing
Testing by suddenly increasing the number of concurrent users logged on to determine the server behavior
Baseline Testing
Compares the performance of a new or unknown server to a known reference standard, such as existing software or measurements
Performance Engineering Services
Performance Analysis
Identifying the bottleneck in performance tests using various monitoring tools
Proactive Tuning
Work on tuning existing systems along with development team
Modeling Realistic Workloads
Various Workload models.
Computing input values for
performance tests
Architectural Benchmarking
Performance and compare the results with historical data of previous versions of same application
Evaluation of performance test tools
Evaluate and Compare the features of various performance
test tools,
Monitoring tools,
Profiling tools
and
Tuning tools
Failover Testing
Simulating failures of redundant hosting site system components, including application and database servers, and verifying that the backup or spare unit takes over for the primary unit as designed