Application management based on data correlations
Application management based on data correlations is disclosed. One example is a system including a data processor, a data element generator, a matrix generator, a data analysis module, a performance module, and a load test manager. The data processor accesses test data based on an application under load testing. The data element generator generates a plurality of transactional data elements based on the test data, each data element comprising at least three data components. The matrix generator generates a covariance matrix based on the data components. The data analysis module determines an eigenvector associated with the covariance matrix, and identifies a correlation between a sub-plurality of the at least three data components based on coefficients of the eigenvector. The performance module determines, based on the correlation, performance metrics for the application under load testing. The load test manager manages, based on the performance metrics, the application under load testing.
1. A system comprising:
a processor; and
a memory storing instructions executable by the processor to cause the processor to:
access test data based on an application under load testing;
generator to generate a plurality of transactional data elements based on the test data, each transactional data element comprising three data components received from three data sources;
generate a covariance matrix based on the three data components of each of the transactional data elements;
determine an eigenvector associated with a lowest eigenvalue of the covariance matrix;
identify a correlation between the three data components based on coefficients of the eigenvector associated with the lowest eigenvalue of the covariance matrix;
determine, based on the correlation, performance metrics for the application under load testing;
manage, based on the performance metrics, the application under load testing; and
trigger a system alert based on the performance metrics of the application.
2. The system of claim 1 , wherein the instructions are executable to cause the processor to detect, based on the performance metrics, at least one of a potential bottleneck and an incorrect locking for the application under load testing.
3. The system of claim 1 , wherein the lowest eigenvalue has a lowest spectral energy.
4. The system of claim 1 , wherein the lowest eigenvalue is below a threshold value.
5. The system of claim 3 , wherein the spectral energy of each eigenvalue is determined based on a ratio of the eigenvalue over a sum of all eigenvalues.
6. The system of claim 1 , wherein the instructions are executable to cause the processor to determine whether the three data components are positively correlated.
7. The system of claim 1 , wherein the instructions are executable to cause the processor to perform the load testing on the application.
8. A method for application management based on data correlations, the method comprising:
accessing, via a processor, test data based on an application under load testing;
generating a plurality of transactional data elements based on the test data, each data element comprising three data components received from three data sources;
generating a covariance matrix based on the three data components of each of the transactional data elements;
determining an eigenvector associated with a lowest eigenvalue of the covariance matrix;
identifying a correlation between the three data components based on coefficients of the eigenvector associated with the lowest eigenvalue of the covariance matrix;
determining, based on the correlation, performance metrics for the application under load testing; and
detecting, based on the performance metrics, a potential bottleneck for the application under load testing.
9. The method of claim 8 , further comprising triggering, via the processor, a system alert based on the performance metrics for the application.
10. The method of claim 8 , further comprising detecting, based on the performance metrics, an incorrect locking for the application under load testing.
11. The method of claim 8 , wherein the lowest eigenvalue has a lowest spectral energy.
12. The method of claim 11 , further comprising: determining the spectral energy of each eigenvalue based on a ratio of the eigenvalue over a sum of all eigenvalues.
13. The method of claim 8 , wherein the lowest eigenvalue is below a threshold value.
14. A non-transitory computer readable medium comprising executable instructions to:
access, via a processor, test data based on an application under load testing;
generate a plurality of transactional data elements based on the test data, each data element comprising three data components received from three data sources;
generate a covariance matrix based on the three data components of each of the transactional data elements;
determine an eigenvector associated with a lowest eigenvalue of the covariance matrix;
identify a correlation between the three data components based on coefficients of the eigenvector associated with the lowest eigenvalue of the covariance matrix;
determine, based on the correlation, performance metrics for the application under load testing; and
trigger, via the processor, a system alert based on the performance metrics for the application.
15. The non-transitory computer readable medium of claim 14 , further comprising instructions to detect, based on the performance metrics, at least one of a potential bottleneck and an incorrect locking for the application under load testing.
16. The non-transitory computer readable medium of claim 14 , wherein the lowest eigenvalue is below a threshold value.
17. The non-transitory computer readable medium of claim 14 , wherein the lowest eigenvalue has a lowest spectral energy.
18. The non-transitory computer readable medium of claim 17 , wherein the spectral energy of each eigenvalue is determined based on a ratio of the eigenvalue over a sum of all eigenvalues.