Optimizing services deployment in a cloud computing environment
Systems and methods of the disclosure include: identifying, by a processing device, a plurality of services of a cloud computing environment, wherein each service of the plurality of services employs one or more virtual execution environments; generating a plurality of graphs, wherein each graph of the plurality of graphs represents a service of the plurality of services, wherein each graph comprises a plurality of nodes, such that each node represents a corresponding virtual execution environment of the one or more virtual execution environments employed by the service, and wherein each node is associated with a computing resource usage indicator reflecting a usage of a computing resource by the corresponding virtual execution environment; and determining, using the plurality of graphs, a set of servers for running the plurality of services.
1. A method comprising:
identifying, by a processing device, a plurality of services of a cloud computing environment, wherein each service of the plurality of services employs one or more virtual execution environments;
generating a plurality of graphs, wherein each graph of the plurality of graphs represents a service of the plurality of services, wherein each graph comprises a plurality of nodes, such that each node represents a corresponding virtual execution environment of the one or more virtual execution environments employed by the service, and wherein each node is associated with a computing resource usage indicator reflecting a usage of a computing resource by the corresponding virtual execution environment;
combining two or more graphs of the plurality of graphs into a single graph, wherein each node of the single graph represents a service that does not exceed a maximum computing resource usage; and
determining, using the plurality of graphs, a set of servers for running the plurality of services.
2. The method of claim 1 , wherein the set of servers is a minimal set suitable for running the plurality of services.
3. The method of claim 1 , wherein at least one server of the set of servers is allocated to run two or more virtual execution environments.
4. The method of claim 1 , wherein the graph further comprises a plurality of edges interconnecting the nodes of the plurality of nodes, such that each edge is associated with a network usage indicator reflecting a communication channel bandwidth utilized by respective virtual execution environments.
5. The method of claim 4 ,
wherein each edge of the single graph does not exceed a maximum network usage.
6. The method of claim 1 , further comprising:
receiving, by the processing device, a request to deploy the plurality of services of the cloud computing environment.
7. The method of claim 1 , wherein the usage of the computing resource comprises at least one of: a central processing unit (CPU) usage or a memory usage.
8. A system comprising:
a memory; and
a processing device communicably coupled to the memory to:
identify a plurality of services of a cloud computing environment, wherein each service of the plurality of services employs one or more virtual execution environments;
generate a plurality of graphs, wherein each graph of the plurality of graphs represents a service of the plurality of services, wherein each graph comprises a plurality of nodes, such that each node represents a corresponding virtual execution environment of the one or more virtual execution environments employed by the service, and wherein each node is associated with a computing resource usage indicator reflecting a usage of a computing resource by the corresponding virtual execution environment;
combine two or more graphs of the plurality of graphs into a single graph, wherein each node of the single graph represents a service that does not exceed a maximum computing resource usage; and
determine, using the plurality of graphs, a set of servers for running the plurality of services.
9. The system of claim 8 , wherein the set of servers is a minimal set suitable for running the plurality of services.
10. The system of claim 8 , wherein at least one server of the set of servers is allocated to run two or more virtual execution environments.
11. The system of claim 8 , wherein the graph further comprises a plurality of edges interconnecting the nodes of the plurality of nodes, such that each edge is associated with a network usage indicator reflecting a communication channel bandwidth utilized by respective virtual execution environments.
12. The system of claim 11 ,
wherein each edge of the single graph does not exceed a maximum network usage.
13. The system of claim 8 , wherein the processing device is further to:
receive a request to deploy the plurality of services of the cloud computing environment.
14. The system of claim 8 , wherein the usage of the computing resource comprises at least one of: a central processing unit (CPU) usage or a memory usage.
15. A non-transitory machine-readable storage medium storing instructions that cause a processing device to:
identify, by the processing device, a plurality of services of a cloud computing environment, wherein each service of the plurality of services employs one or more virtual execution environments;
generate a plurality of graphs, wherein each graph of the plurality of graphs represents a service of the plurality of services, wherein each graph comprises a plurality of nodes, such that each node represents a corresponding virtual execution environment of the one or more virtual execution environments employed by the service, and wherein each node is associated with a computing resource usage indicator reflecting a usage of a computing resource by the corresponding virtual execution environment;
combine two or more graphs of the plurality of graphs into a single graph, wherein each node of the single graph represents a service that does not exceed a maximum computing resource usage; and
determine, using the plurality of graphs, a set of servers for running the plurality of services.
16. The non-transitory machine-readable storage medium of claim 15 , wherein the set of servers is a minimal set suitable for running the plurality of services.
17. The non-transitory machine-readable storage medium of claim 15 , wherein at least one server of the set of servers is allocated to run two or more virtual execution environments.
18. The non-transitory machine-readable storage medium of claim 15 , wherein the graph further comprises a plurality of edges interconnecting the nodes of the plurality of nodes, such that each edge is associated with a network usage indicator reflecting a communication channel bandwidth utilized by respective virtual execution environments.
19. The non-transitory machine-readable storage medium of claim 18 ,
wherein each edge of the single graph does not exceed a maximum network usage.
20. The non-transitory machine-readable storage medium of claim 15 , wherein the usage of the computing resource comprises at least one of: a central processing unit (CPU) usage or a memory usage.