METHODS AND APPARATUS FOR APPLICATION PERFORMANCE AND CAPACITY ANALYSIS

• US 20130024843A1
• Filed: 06/18/2012
• Published: 01/24/2013
• Est. Priority Date: 07/19/2011
• Status: Active Grant

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Kutlu, Gokhan
• Granted Patent: US 8,910,128 B2
• Time in Patent Office: Days
• US Class Current: 717/125
• CPC Class Codes: G06F 11/323 Visualisation of programs or trace data
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3414 Workload generation, e.g. scripts, playback
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring
• CPC Class Codes: G06F 2201/80 Database-specific techniques
• CPC Class Codes: G06F 2201/865 Monitoring of software

Abstract

A computer-implemented method is provided for determining the performance of an application platform that includes one or more applications associated with a plurality of resources of a computer system. The method includes disposing a plurality of synthetic resource consumers within the application platform, each synthetic resource consumer configured to consume at least one of the plurality of resources. A workload profile is provided to the plurality of synthetic resource consumers. The workload profile includes parameters specifying resource consumption by the plurality of synthetic resource consumers. Performance data is acquired based on the impact of the workload profile on the plurality of resources and the plurality of applications.

Claims

1. A computer-implemented method for determining the performance of an application platform comprising a plurality of applications associated with a plurality of resources of a computer system, the method comprising:

disposing a plurality of synthetic resource consumers within the application platform, each synthetic resource consumer configured to consume at least one of the plurality of resources;

providing a workload profile to the plurality of synthetic resource consumers, the workload profile including parameters specifying resource consumption by the plurality of synthetic resource consumers;

consuming the plurality of resources in accordance with the workload profile;

acquiring performance data based on the impact of the workload profile on the plurality of resources and the plurality of applications; and

displaying a graphical representation of the performance data.

2. The method of claim 1, wherein each of the synthetic resource consumers are configured to consume an associated one of the plurality of resources, and the plurality of resources include at least an application platform CPU resource, a memory resource, and a database CPU resource.

3. The method of claim 1, further including determining the workload profile based on the resource consumption of a specific application that is not disposed within the application platform.

4. The method of claim 1, wherein the application platform is a multi-tenant database.

5. The method of claim 1, wherein the workload profile is provided to the plurality of synthetic resource consumers via a message queue of an asynchronous task framework.

12. The computing device of claim 1, wherein each of the synthetic resource consumers are configured to consume an associated one of the plurality of resources, and the plurality of resources include at least an application platform CPU resource, a memory resource, and a database CPU resource.

6. A performance analysis system comprising:

an application platform comprising a plurality of applications associated with a plurality of resources of a computer system;

a plurality of synthetic resource consumers disposed within the application platform, each synthetic resource consumer configured to consume at least one of the plurality of resources and to consume the plurality of resources in accordance with a workload profile;

a resource consumer controller communicatively coupled to the plurality of synthetic resource consumers;

a workload module configured to provide the workload profile to the resource consumer controller, the workload profile including parameters specifying resource consumption by the plurality of synthetic resource consumers;

a data collection and analysis module configured to acquire performance data based on the impact of the workload profile on the plurality of resources and the plurality of applications; and

a display module configured to display a graphical representation of the performance data.

7. The performance analysis system of claim 6, wherein each of the synthetic resource consumers are configured to consume an associated one of the plurality of resources, and the plurality of resources include at least an application platform CPU resource, a memory resource, and a database CPU resource.

8. The performance analysis system of claim 6, wherein the workload profile is based on the resource consumption of a specific application that is not disposed within the application platform.

9. The performance analysis system of claim 6, wherein the application platform is a multi-tenant database.

10. The performance analysis system of claim 6, wherein the workload is provided to the plurality of synthetic resource consumers via a message queue of an asynchronous task framework.

11. A computing device comprising a processing system and a memory, wherein the memory comprises computer-executable instructions that, when executed by the processing system, cause the computing device to:

dispose a plurality of synthetic resource consumers within the application platform, each synthetic resource consumer configured to consume at least one of the plurality of resources;

provide a workload profile to the plurality of synthetic resource consumers, the workload profile including parameters specifying resource consumption by the plurality of synthetic resource consumers;

acquiring performance data based on the impact of the workload profile on the plurality of resources and the plurality of applications; and

displaying a graphical representation of the performance data.

13. The computing device of claim 11, wherein the workload profile is based on the resource consumption of a specific application that is not disposed within the application platform.

14. The computing device of claim 11, wherein the application platform is a multi-tenant database.

15. The computing device of claim 11, wherein the workload is provided to the plurality of synthetic resource consumers via a message queue of an asynchronous task framework.