Automated elastic resource management of a container system by a distributed storage system
An example method for automated elastic resource management of a container system by a storage system comprises providing, by a container storage management system, a volume for use by a containerized application of a container system, the volume deployed on a node of the container system; analyzing, by the container storage management system, input/output (I/O) operations to the volume based on historical I/O operations; and directing, by the container storage management system and based on the analyzing the I/O operations based on the historical I/O operations, the container system to adjust a capacity of a resource associated with the node.
1. A method comprising:
providing, by a container storage management system, a volume for use by a containerized application of a container system, the volume deployed on a node of the container system;
analyzing, by the container storage management system, input/output (I/O) operations to the volume based on historical I/O operations comprising operations performed prior to a particular time; and
directing, by the container storage management system and based on the analyzing the I/O operations based on the historical I/O operations, the container system to adjust a capacity of a resource associated with the node, wherein:
the volume is associated with a storage pool of a plurality of storage pools, wherein different storage pools of the plurality of storage pools are defined by different characteristics of storage resources in each storage pool; and
the directing the container system to adjust the capacity of the resource comprises reallocating the volume to an additional storage pool of the plurality of storage pools.
2. The method of claim 1 , wherein the analyzing the I/O operations to the volume based on historical I/O operations comprises accessing a machine learning model based on historical I/O operations.
3. The method of claim 1 , wherein the historical I/O operations comprise historical I/O operations to additional volumes provided by the container storage management system for use by additional containerized applications of the container system.
4. The method of claim 1 , wherein the historical I/O operations comprise historical I/O operations to additional volumes provided by the container storage management system for use by additional containerized applications of additional container systems.
5. The method of claim 1 , wherein the directing the container system to adjust the capacity of the resource further comprises directing the container system to provide a notification to a user about the adjusting the capacity of the resource.
6. The method of claim 5 , wherein the notification comprises an input option to the user to approve the adjusting of the capacity of the resource.
7. The method of claim 1 , wherein the directing the container system to adjust the capacity of the resource further comprises reallocating at least one of the containerized application or the volume to an additional node.
8. A system comprising:
one or more memories storing computer-executable instructions; and
one or more processors to execute the computer-executable instructions to perform a process comprising:
providing a volume for use by a containerized application of a container system, the volume deployed on a node of the container system;
analyzing input/output (I/O) operations to the volume based on historical I/O operations comprising operations performed prior to a particular time; and
directing, based on the analyzing the I/O operations based on the historical I/O operations, the container system to adjust a capacity of a resource associated with the node, wherein:
the volume is associated with a storage pool of a plurality of storage pools, wherein different storage pools of the plurality of storage pools are defined by different characteristics of storage resources in each storage pool; and
the directing the container system to adjust the capacity of the resource comprises reallocating the volume to an additional storage pool of the plurality of storage.
9. The system of claim 8 , wherein the analyzing the I/O operations to the volume based on historical I/O operations comprises accessing a machine learning model based on historical I/O operations.
10. The system of claim 8 , wherein the historical I/O operations comprise historical I/O operations to additional volumes provided by system for use by additional containerized applications of the container system.
11. The system of claim 8 , wherein the historical I/O operations comprise historical I/O operations to additional volumes provided by the system for use by additional containerized applications of additional container systems.
12. The system of claim 8 , wherein the directing the container system to adjust the capacity of the resource further comprises directing the container system to provide a notification to a user about the adjusting the capacity of the resource.
13. The system of claim 12 , wherein the notification comprises an input option to the user to approve the adjusting of the capacity of the resource.
14. The system of claim 8 , wherein the directing the container system to adjust the capacity of the resource further comprises reallocating at least one of the containerized application or the volume to an additional node.
15. A non-transitory, computer-readable medium storing computer instructions that, when executed, direct one or more processors of one or more computing devices to perform a process comprising:
providing a volume for use by a containerized application of a container system, the volume deployed on a node of the container system;
analyzing input/output (I/O) operations to the volume based on historical I/O operations comprising operations performed prior to a particular time; and
directing, based on the analyzing the I/O operations based on the historical I/O operations, the container system to adjust a capacity of a resource associated with the node, wherein:
the volume is associated with a storage pool of a plurality of storage pools, wherein different storage pools of the plurality of storage pools are defined by different characteristics of storage resources in each storage pool; and
the directing the container system to adjust the capacity of the resource comprises reallocating the volume to an additional storage pool of the plurality of storage.
16. The computer-readable medium of claim 15 , wherein the analyzing the I/O operations to the volume based on historical I/O operations comprises accessing a machine learning model based on historical I/O operations.
17. The computer-readable medium of claim 15 , wherein the historical I/O operations comprise historical I/O operations to additional volumes provided by the one or more computing devices for use by additional containerized applications of the container system.
18. The computer-readable medium of claim 15 , wherein the historical I/O operations comprise historical I/O operations to additional volumes provided by the one more computing devices for use by additional containerized applications of additional container systems.