Automatically identifying and right sizing instances

Patent metadata

Field	Value
Publication number	US-11977920-B2
Application number	US-202217854723-A
Country	US
Kind code	B2
Filing date	Jun 30, 2022
Priority date	Sep 10, 2019
Publication date	May 7, 2024
Grant date	May 7, 2024

Abstract

A system is disclosed. The system includes a resource monitor to monitor a resource utilization of a set of resources of one or more instances, the resource utilization corresponding to a first level of performance and cost and an instance type determiner to, based on the resource utilization, determine if there is an instance type for at least one of the one or more instances, with a resource profile, that will provide a second level of performance and cost that is closer to a default level of performance and cost than the first level of performance and cost. In addition, the system also includes an instance type recommender to, based on the determining, perform one of making and not making a recommendation to replace the instance type of the at least one of the one or more instances.

First claim

What is claimed is:

1. A system to provide an infrastructure automation (IA) capability for an Infrastructure as Code service, the system comprising:
memory circuitry to store program code of an IA monitor, an IA determiner, and an IA recommender; and
processor circuitry connected to the memory circuitry, wherein:
the processor circuitry is to operate the IA monitor to monitor a resource utilization of a set of resources of a cloud environment, wherein the resource utilization corresponds to a first level of performance or cost;
the processor circuitry is to operate the IA determiner to determine, based on the resource utilization, a recommended resource configuration for the set of resources that will provide at least a second cost that is closer to a predefined cost than the first cost; and
the processor circuitry is to operate the IA recommender to:
request an evaluation of the recommended resource configuration when the recommended resource configuration is different from a current resource configuration of the set of resources, wherein the evaluation includes an evaluation of the set of resources with the recommended resource configuration to service work associated with an application cluster, and
provide a recommendation to facilitate a replacement or resizing of the current resource configuration with the recommended resource configuration based on the evaluation,
wherein in the processor circuitry is configured to cause evaluation by the IA determiner based on the resource utilization of the set of resources of the cloud environment to determine workload patterns of the set of resources of the cloud environment,
wherein the IA determiner further determines the recommendation based on a current workload data of the set of resources of the cloud environment, the determined workload patterns, and a range of desired performances and costs,
wherein, based on the recommendation, the current resource configuration is replaced with or resized based on the recommended resource configuration, and
wherein one or more workloads of the set of resources of the cloud environment are executed using the recommended resource configuration.

2. The system of claim 1 , wherein the recommendation to replace the current resource configuration with the recommended resource configuration includes one or more of:
one or more patterns to optimize resources and one or more remediation actions; and
one or more workload changes to meet one or more service level agreements.

3. The system of claim 1 , wherein:
the memory circuitry is to store program code of an instance manager; and
the processor circuitry is to operate the instance manager to:
automatically resize the set of resources to have the recommended resource configuration; or
resize the set of resources to have the recommended resource configuration in response to receipt of a request to resize the set of resources in accordance with the recommended resource configuration.

4. The system of claim 1 , wherein the IA determiner is to compare the first level of performance or cost to the second level of performance or cost.

5. The system of claim 4 , wherein a decision to replace the one or more instances is made based on the comparison.

6. The system of claim 1 , wherein the second level of performance or cost that is closer to the default level of performance or cost is identified from a specified range of performances and a specified cost.

7. The system of claim 1 , wherein the second level of performance or cost that is closer to the default level of performance or cost is identified from a specified performance and a specified range of costs.

8. The system of claim 1 , wherein the recommended resource configuration includes a specified amount of resources that are allocated for the cloud environment.

9. A non-transitory computer-readable memory (NTCRM) comprising instructions stored thereon, wherein execution of the instructions by a processor of an Infrastructure as Code (IaC) service is to cause the IaC service to:
monitor a resource utilization of a set of resources of a cloud environment, the resource utilization corresponding to a first level of performance or cost;
determine, based on the resource utilization, a recommended resource configuration for the set of resources that will provide at least a second cost that is closer to a predefined cost than the first cost;
cause an evaluation of the recommended resource configuration when the recommended resource configuration is different from a current resource configuration, wherein the evaluation includes an evaluation of the set of resources with the recommended resource configuration to provide one or more services associated with an application;
provide a recommendation to facilitate a replacement or resizing of the current resource configuration with the recommended resource configuration based on the evaluation;
based on the resource utilization of the set of resources of the cloud environment, cause evaluation to determine workload patterns of the set of resources of the cloud environment;
determine the recommendation based on a current workload data of the set of resources of the cloud environment, the determined workload patterns, and a range of desired performances and costs;
replace or resize, based on the recommendation, the current resource configuration based on the recommended resource configuration; and
execute one or more workloads of the set of resources of the cloud environment using the recommended resource configuration.

10. The NTCRM of claim 9 , wherein execution of the instructions is to cause the IaC service to perform one or more actions based on the provided recommendation.

11. The NTCRM of claim 9 , wherein the recommendation to replace the current resource configuration with the recommended resource configuration includes one or more of:
one or more patterns to optimize resources and one or more remediation actions; and
one or more workload changes to meet one or more service level agreements.

12. The NTCRM of claim 9 , wherein execution of the instructions is to cause the IaC service to compare the first level of performance or cost to the second level of performance or cost.

13. The NTCRM of claim 12 , wherein a decision to replace the one or more instances is made based on the comparison.

14. The NTCRM of claim 9 , wherein the second level of performance or cost that is closer to the default level of performance or cost is identified from a specified range of performances and a specified cost.

15. The NTCRM of claim 9 , wherein the second level of performance or cost that is closer to the default level of performance or cost is identified from a specified performance and a specified range of costs.

16. The NTCRM of claim 9 , wherein the recommended resource configuration includes a specified amount of resources that are allocated for the cloud environment.

17. A computer-implemented method for providing an infrastructure automation (IA) capability for an Infrastructure as Code (IaC) service, the method comprising:
monitoring a resource utilization of a set of resources of a cloud environment, wherein the resource utilization corresponds to a first level of performance or cost;
determining, based on the resource utilization, a recommended resource configuration for the set of resources that will provide at least a second cost that is closer to a predefined cost than the first cost;
causing an evaluation of the recommended resource configuration when the recommended resource configuration is different from a current resourc

Assignees

• Salesforce Inc

Inventors

• Toal Brian
• Singh Manpreet

Classifications

• G06F9/5027 Primary

  the resource being a machine, e.g. CPUs, Servers, Terminals · CPC title

• G06F9/5083

  Techniques for rebalancing the load in a distributed system · CPC title

• G06F2209/501

  Performance criteria · CPC title

• G06F2209/5011

  Pool · CPC title

• G06F2209/505

  Clust · CPC title