SYSTEM FOR MONITORING ELEASTIC CLOUD-BASED COMPUTING SYSTEMS AS A SERVICE

• US 20130124669A1
• Filed: 11/10/2011
• Published: 05/16/2013
• Est. Priority Date: 11/10/2011
• Status: Active Grant

• Current Assignee: CopperEgg Corp. (Idera, Inc.)
• Original Assignee: CopperEgg Corp. (Idera, Inc.)
• Inventors: Perdue, David, Anderson, Eric Paul, Johnson, Scott Conrad, Ehresman, Luke, Gordon, Robert B.
• Granted Patent: US 8,447,851 B1
• Time in Patent Office: Days
• US Class Current: 709/217
• CPC Class Codes: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/301 where the computing system is a virtual computing platform, e.g. logically partitioned systems virtual machines G06F9/45533; logical partitioning of resources G06F9/5077
• CPC Class Codes: G06F 11/3082 the data filtering being achieved by aggregating or compressing the monitored data
• CPC Class Codes: G06F 11/3089 Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents software debugging using additional hardware using a specific debug interface G06F11/3656; performance evaluation by tracing or monitoring G06F11/3466
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3419 by assessing time
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: G06F 2201/815 Virtual middleware or OS functionality using virtual machines to implement generic software techniques for error detection or fault masking G06F11/1484
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level

Abstract

Provided is a computing-system monitor configured to monitor a plurality of computing-systems each having a plurality of monitored computing-instances. The computing-system monitor may include a plurality of collectors, each collector executed by one of a plurality of monitored computing-instances, wherein the plurality of monitored computing-instances each are part of one of a plurality of separately monitored computing systems, and wherein each of the collectors is operable to output metrics of a corresponding monitored computing-instance executing that collector. The computing-system monitor may also include an analytics platform, the analytics platform having a plurality of analytic computing-instances, the analytics platform being operable to receive metrics output by the plurality of collectors, calculate statistics with the analytic computing-instances based on the received metrics, and output the calculated statistics.

Claims

1. A computing-system monitor configured to monitor a plurality of computing-systems each having a plurality of monitored computing-instances, the computing-system monitor comprising:

a plurality of collectors, each collector executed by one of a plurality of monitored computing-instances, wherein the plurality of monitored computing-instances each are part of one of a plurality of separately monitored computing systems, and wherein each of the collectors is operable to output metrics of a corresponding monitored computing-instance executing that collector; and

an analytics platform, the analytics platform executed by a plurality of analytic computing-instances, the analytics platform operable to receive metrics output by the plurality of collectors, calculate statistics with the analytic computing-instances based on the received metrics, and output the calculated statistics,

wherein each of the separately monitored computing systems is under the control of a different entity, and wherein the analytics platform is operable to associate an account of each entity with the corresponding monitored computing system under the control of that entity, and

wherein each of the collectors is operable to identify itself to the analytics platform without being prompted to do so by the analytics platform, and wherein the analytics platform is operable to receive data from the collectors after the collectors identify themselves.

2. The computing-system monitor of claim 1, wherein some of the plurality of analytic computing-instances comprise a database engine and a receive engine, the receive engine being operable to receive the metrics output by the plurality of collectors and output the received metrics to the database engine, the database engine being operable to store the received metrics in a non-relational database.

3. The computing-system monitor of claim 1, wherein each of the collectors is operable to push the metrics to the analytics platform at a time determined by the collector.

5. The computing-system monitor of claim 1, wherein the database engine is operable to store the received metrics in a non-predefined hierarchical data structure.

6. The computing-system monitor of claim 1, wherein the analytics platform is capable of outputting calculated statistics within less than 30 seconds of receipt of the received metrics upon which the calculated statistics are based.

7. The computing-system monitor of claim 1, wherein each of the monitored computing instances and the analytics platform are cloud-based virtual machines.

8. The computing-system monitor of claim 1, wherein the metrics comprise processor usage, memory usage, network usage, temperature of a monitored computing instance, and cost of operating a monitored computing instance.

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