Managing update deployment

• US 9,311,066 B1
• Filed: 06/25/2012
• Issued: 04/12/2016
• Est. Priority Date: 06/25/2012
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Garman, Matthew S., Thomas, Nathan, Li, Gang
• Primary Examiner(s): Ashraf, Waseem
• Application Number:
  US13/532,598
• Time in Patent Office: 1,387 Days
• Field of Search: 709223-224
• US Class Current: 1/1
• CPC Class Codes: G06F 8/60 Software deployment
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57
• CPC Class Codes: H04L 41/082 the condition being updates or upgrades of network functionality
• CPC Class Codes: H04L 41/0863 by rolling back to previous configuration versions
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

Systems and methods for managing deployment of an update to computing devices are provided. An update deployment manager determines one or more initial computing devices to receive and execute an update. The update deployment manager further monitors a set of performance metrics with respect to the initial computing devices or a collection of computing devices. The update deployment manager may modify the rate of deployment based on the monitored performance metrics. For example, the update deployment manager may select additional computing devices to receive and execute an update. Further, the update deployment manager may halt deployment of the update. Moreover, the update deployment manager may rollback the deployment of the update.

Claims

1. A computer-implemented method for managing update deployment, the method comprising:

obtaining an update to be deployed and implemented within a target computing environment, wherein the target computing environment includes a plurality of receiving computing devices on which to implement the update to provide functionality corresponding to the update on behalf of at least one client;

obtaining a set of monitoring criteria that defines a set of performance metrics to be monitored on the target computing environment;

selecting a computing device of the plurality of receiving computing devices within the target computing environment to initially implement the update and provide functionality corresponding to the update on behalf of the at least one client;

deploying the update to the selected computing device within the target computing environment;

monitoring the set of performance metrics on the target computing environment;

determining a number of additional computing devices, from the plurality of receiving computing devices, to which to deploy the update, wherein the number of additional computing devices is proportional to a level of increase of the set of performance metrics over a set of baseline performance metrics; and

deploying the update to the determined number of additional computing devices from the plurality of receiving computing devices.

2. The computer-implemented method of claim 1, wherein the update comprises at least one of an application, an operating system, a driver, a module, a script, or a configuration.

3. The computer-implemented method of claim 1, wherein the set of performance metrics comprises at least one of response time, response failures, dropped packets, ping failures, error rate, network bandwidth, central processing unit use, random access memory use, or power consumption.

4. The computer-implemented method of claim 1, wherein the set of performance metrics are determined based at least in part on a service level agreement associated with a service provided by a computing device.

5. The computer-implemented method of claim 1, wherein monitoring the set of performance metrics on the target computing environment comprises monitoring the set of performance metrics on at least one computing device from the set of receiving computing devices.

6. The computer-implemented method of claim 1, wherein the set of monitored computing devices does not include any computing device from the set of receiving computing devices.

7. The computer-implemented method of claim 1 further comprising causing removal of the update from the selected computing device.

8. A computer-readable, non-transitory storage medium having computer-executable modules for managing package deployment, the computer-executable modules comprising:

a package deployment management module configured to;

determine a set of receiving computing devices, within a target computing environment, on which to implement a package to provide functionality corresponding to the package on behalf of at least one client;

select a computing device from the set of receiving computing devices to initially implement the package and provide functionality corresponding to the package on behalf of at the least one client;

cause implementation of the package on the selected computing device of the set of receiving computing devices;

receive monitoring information from the target computing environment, wherein the monitoring information comprises a set of performance metrics, and wherein each of the set of performance metrics measures a performance of at least one computing device of the set of monitored computing devices;

analyze the monitoring information to determine a number of additional computing devices from the set of receiving computing devices to which to deploy the package, wherein the number of additional computing devices is proportional to a level of increase of the set of performance metrics relative to a set of baseline performance metrics; and

deploy the package to the number of additional computing devices of the set of receiving computing devices.

9. The computer-readable, non-transitory storage medium of claim 8, wherein the package deployment management module is further configured to modify the set of performance metrics based at least in part on the received monitoring information.

10. The computer-readable, non-transitory storage medium of claim 8, wherein the number of additional computing devices is determined based at least in part on a deployment of a second package to a second set of receiving computing devices.

11. The computer-readable, non-transitory storage medium of claim 8, wherein the package management module is implemented by at least one computing device of the set of receiving computing devices.

17. The computer-readable, non-transitory storage medium of claim 8, wherein the package deployment management module is further configured to:

subsequent to deploying the package to the number of additional computing devices, receive a second set of monitoring information from the target computing environment, wherein the second set of monitoring information comprises a second set of performance metrics corresponding to the first set of performance metrics, and wherein each of the second set of performance metrics measures a performance of at least one computing device of the set of monitored computing devices;

analyze the second set of monitoring information to determine a second number of computing devices from which to remove the package; and

remove the package from the second number of computing devices.

18. The computer-readable, non-transitory storage medium of claim 17, wherein the second number of computing devices is proportional to a level of decrease of the second set of performance metrics relative to the set of baseline performance metrics.

12. A computer-implemented method for managing update deployment, the method comprising:

determining a set of receiving computing devices, within a target computing environment, on which to implement an update to provide functionality corresponding to the update on behalf of at least one client;

selecting a computing device from the set of receiving computing devices to initially implement the update and provide functionality corresponding to the update on behalf of at the least one client;

in response to deployment of the update to the selected computing device of the set of receiving computing devices on which the update is to be deployed, receiving monitoring information from the target computing environment, wherein the monitoring information comprises a set of performance metrics, and wherein each of the set of performance metrics measures a performance of at least one computing device of a set of monitored computing devices;

analyzing the monitoring information to determine a number of additional computing devices from the set of receiving computing devices to which to deploy the update, wherein the number of additional computing devices is proportional to a level of increase of the set of performance metrics relative to a set of baseline performance metrics; and

transmitting an instruction that the update be deployed to the number of additional computing devices.

13. The computer-implemented method of claim 12, wherein the update is deployed to the number of additional computing devices from the initial computing device.

14. The computer-implemented method of claim 12 further comprising storing the received monitoring information in the at least one data store.

15. The computer-implemented method of claim 12 further comprising determining the set of performance metrics based at least in part on the monitoring information corresponding to a prior deployment of the update.

16. The computer-implemented method of claim 12, wherein deployment of the update to the set of receiving computing devices is determined at least in part based on a rate of deployment, and wherein the method further comprises transmitting an instruction that the rate of deployment be increased.