Performance test environment for APIs
According to some embodiments, systems and methods are provided, comprising an Application Programming Interface (API) source; a cluster including a master node and at least one worker node; a memory storing processor-executable program code; and a processing unit to execute the processor-executable program code to cause the system to: receive, at the cluster, an API from the API source; receive, at the cluster, a customer usage value for the received API; determine a load test injection pattern for the received API based on the customer usage value; schedule execution of a load test for the received API based on the determined load test injection pattern; and execute the load test on the at least one worker node. Numerous other aspects are provided.
1. A system comprising:
an Application Programming Interface (API) source;
a cluster including a master node and at least one worker node;
a memory storing processor-executable program code; and
a processing unit to execute the processor-executable program code to cause the system to:
receive, at the cluster, an API from the API source;
receive, at the cluster, a customer usage value for the received API;
determine a load test injection pattern for the received API based on the customer usage value;
schedule execution of a load test for the received API based on the determined load test injection pattern; and
execute the load test on the at least one worker node.
2. The system of claim 1 , wherein prior to determination of the load test injection pattern, it is determined the received API has not been load tested.
3. The system of claim 1 , wherein the master node includes a scheduler, an API server and a controller.
4. The system of claim 3 , wherein the scheduler is adapted to determine a number of worker nodes for the determined load test injection pattern.
5. The system of claim 1 , further comprising processor-executable program code to cause the system to:
automatically generate, at the master node, a script based on the determined load test injection pattern, the script defining a load that will be entered into the system at particular intervals of time.
6. The system of claim 5 , further comprising processor-executable program code to cause the system to:
transmit the generated script to the at least one worker node.
7. The system of claim 1 , further comprising processor-executable program code to cause the system to:
generate a log for each completed execution of the load test at the worker node; and
aggregate the logs into a report after execution of the load test is completed at all of the worker nodes.
8. The system of claim 7 , wherein the log includes data input to the API for execution of the API and one or more performance statistics of the executed API.
9. The system of claim 1 , wherein the determined load test injection pattern is based on a pattern map.
10. A computer-implemented method comprising:
receiving, at a master node, an API from an API source;
receiving, at the master node, a customer usage value for the received API;
determining a load test injection pattern for the received API based on the customer usage value;
scheduling execution of a load test for the received API based on the determined load test injection pattern; and
executing the load test on at least one worker node.
11. The computer-implemented method of claim 10 , wherein the master node includes a scheduler, an API server and a controller.
12. The computer-implemented method of claim 11 , further comprising:
determining, via the scheduler, a number of worker nodes for the determined load test injection pattern.
13. The computer-implemented method of claim 10 , further comprising:
automatically generating, at the master node, a script based on the determined load test injection pattern, the script defining a load that will be entered at particular intervals of time.
14. The computer-implemented method of claim 13 , further comprising:
transmitting the generated script to the at least one worker node.
15. The computer-implemented method of claim 10 , further comprising:
generating a log for each completed execution of the load test at the worker node; and
aggregating the logs into a report after execution of the load test is completed at all of the worker nodes.
16. The computer-implemented method of claim 15 , wherein the log includes data input to the API for execution of the API and one or more performance statistics of the executed API.
17. A non-transitory, computer readable medium having executable instructions stored therein to perform a method, the method comprising:
receiving, at a master node, an API from an API source;
receiving, at the master node, a customer usage value for the received API;
determining a load test injection pattern for the received API based on the customer usage value;
scheduling execution of a load test for the received API based on the determined load test injection pattern; and
executing the load test on at least one worker node.
18. The non-transitory, computer readable medium of claim 17 , the method further comprising:
determining a number of worker nodes for the determined load test injection pattern.
19. The non-transitory, computer readable medium of claim 17 , the method further comprising:
automatically generating, at the master node, a script based on the determined load test injection pattern, the script defining a load that will be entered at particular intervals of time; and
transmitting the generated script to the at least one worker node.
20. The non-transitory, computer readable medium of claim 17 , the method further comprising:
generating a log for each completed execution of the load test at the worker node; and
aggregating the logs into a report after execution of the load test is completed at all of the worker nodes.