Distributed scalable workload testing
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for: allocating a first pool of workers on a plurality of nodes, wherein each node comprises one or more of the workers from the first pool; providing a first set of instructions to the first pool of workers for performing a first task configured to interact with a computer system; activating the first pool of workers to perform the first task; updating at least a portion of the first set of instructions for a subset of the first pool of workers while the workers are performing the first task; and monitoring at least one performance metric associated with the computer system while the workers from the subset of the first pool are performing the first task.
1. A computer-implemented method, comprising:
allocating a first pool of workers on a plurality of nodes,
wherein each node comprises one or more of the workers from the first pool;
providing a first set of instructions to the first pool of workers for performing a first task configured to interact with a computer system;
activating the first pool of workers to perform the first task;
updating at least a portion of the first set of instructions for a subset of the first pool of workers while the workers are performing the first task; and
monitoring at least one performance metric associated with the computer system while the workers from the subset of the first pool are performing the first task.
2. The method of claim 1 , wherein each node in the plurality of nodes comprises at least one of a virtual machine and a physical machine.
3. The method of claim 1 , wherein each worker from the first pool resides on a separate node.
4. The method of claim 1 , wherein the plurality of nodes comprises at least one director node and at least one worker node.
5. The method of claim 1 , wherein the at least one performance metric comprises at least one of speed and latency.
6. The method of claim 1 , comprising:
providing the at least one performance metric to a client device of a user.
7. The method of claim 1 , comprising:
providing a worker module configured to act as an interface between the first pool of workers and the computer system.
8. The method of claim 1 , comprising:
allocating a second pool of workers on the plurality of nodes,
wherein each node comprises one or more workers from the second pool;
providing a second set of instructions to the second pool of workers for performing a second task configured to interact with the computer system; and
activating the second pool of workers to perform the second task.
9. The method of claim 8 , wherein the first task and the second task are performed in parallel.
10. The method of claim 8 , comprising:
assigning an exclusivity label to each of the first and second tasks,
wherein the exclusivity label is configured to control an order of execution of the first and second tasks, and
wherein when the second task has an identical exclusivity label to the first task, the second task is performed serially after the first task is completed.
11. A system, comprising:
one or more computer processors programmed to perform operations comprising:
allocating a first pool of workers on a plurality of nodes,
wherein each node comprises one or more of the workers from the first pool;
providing a first set of instructions to the first pool of workers for performing a first task configured to interact with a computer system;
activating the first pool of workers to perform the first task;
updating at least a portion of the first set of instructions for a subset of the first pool of workers while the workers are performing the first task; and
monitoring at least one performance metric associated with the computer system while the workers from the subset of the first pool are performing the first task.
12. The system of claim 11 , wherein each node in the plurality of nodes comprises at least one of a virtual machine and a physical machine.
13. The system of claim 11 , wherein each worker from the first pool resides on a separate node.
14. The system of claim 11 , wherein the plurality of nodes comprises at least one director node and at least one worker node.
15. The system of claim 11 , wherein the at least one performance metric comprises at least one of speed and latency.
16. The system of claim 11 , wherein the operations comprise:
providing the at least one performance metric to a client device of a user.
17. The system of claim 11 , wherein the operations comprise:
providing a worker module configured to act as an interface between the first pool of workers and the computer system.
18. The system of claim 11 , wherein the operations comprise:
allocating a second pool of workers on the plurality of nodes,
wherein each node comprises one or more workers from the second pool;
providing a second set of instructions to the second pool of workers for performing a second task configured to interact with the computer system; and
activating the second pool of workers to perform the second task.
19. The system of claim 18 , wherein the operations comprise:
assigning an exclusivity label to each of the first and second tasks,
wherein the exclusivity label is configured to control an order of execution of the first and second tasks, and
wherein when the second task has an identical exclusivity label to the first task, the second task is performed serially after the first task is completed.
20. An article, comprising:
a non-transitory computer-readable medium having instructions stored thereon that when executed by one or more computer processors cause the computer processors to perform operations comprising:
allocating a first pool of workers on a plurality of nodes,
wherein each node comprises one or more of the workers from the first pool;
providing a first set of instructions to the first pool of workers for performing a first task configured to interact with a computer system;
activating the first pool of workers to perform the first task;
updating at least a portion of the first set of instructions for a subset of the first pool of workers while the workers are performing the first task; and
monitoring at least one performance metric associated with the computer system while the workers from the subset of the first pool are performing the first task.