REAL-TIME DEBUGGING INSTANCES IN A DEPLOYED CONTAINER PLATFORM

• US 20190102280A1
• Filed: 09/28/2018
• Published: 04/04/2019
• Est. Priority Date: 09/30/2017
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Caldato, Claudio, Scholl, Boris
• Granted Patent: US 10,838,788 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/203 using migration
• CPC Class Codes: G06F 11/362 Software debugging
• CPC Class Codes: G06F 11/3644 by instrumenting at runtime
• CPC Class Codes: G06F 2009/45562 Creating, deleting, cloning virtual machine instances
• CPC Class Codes: G06F 21/602 Providing cryptographic facilities or services
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 8/60 Software deployment
• CPC Class Codes: G06F 8/63 Image based installation; Cloning; Build to order
• CPC Class Codes: G06F 8/71 Version control security arrangements therefor G06F21/57; Configuration management
• CPC Class Codes: G06F 9/455 Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
• CPC Class Codes: G06F 9/45558 Hypervisor-specific management and integration aspects
• CPC Class Codes: G06F 9/4881 Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
• CPC Class Codes: G06F 9/505 considering the load
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: G06F 9/5083 Techniques for rebalancing the load in a distributed system
• CPC Class Codes: G06F 9/547 Remote procedure calls [RPC]; Web services
• 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

Abstract

A method may include receiving a request for a service at a container environment. The container environment may include a service mesh and a plurality of services encapsulated in a plurality of containers. The service may be encapsulated in first one or more containers. The method may also include determining that the request should be routed to a debug instance of the service; and instantiating the debug instance of the service. The debug instance may be encapsulated in second one or more containers and may include code implementing the service and one or more debugging utilities. The method may additionally include routing, by the service mesh, the request to the debug instance.

Claims

1. A method of providing runtime debugging for containerized services in container environments, the method comprising:

receiving a request for a service at a container environment, wherein;

the container environment comprises a service mesh and a plurality of services encapsulated in a plurality of containers; and

the service is encapsulated in first one or more containers;

determining that the request should be routed to a debug instance of the service;

instantiating the debug instance of the service, wherein the debug instance is encapsulated in second one or more containers and comprises;

code implementing the service; and

one or more debugging utilities;

routing, by the service mesh, the request to the debug instance.

2. The method of claim 1, wherein the first one or more containers are organized into a container pod.

3. The method of claim 1, wherein the container environment comprises an orchestrated container platform comprising a container scheduler.

4. The method of claim 3, wherein the container scheduler causes the debug instance of the service to be instantiated.

5. The method of claim 1, wherein the container environment comprises an Application Programming Interface (API) registry that causes the debug instance of the service to be instantiated.

6. The method of claim 5, wherein the API registry receives a registration for the debug instance of the service and makes an HTTP endpoint of the debug instance of the service available through an API function call.

7. The method of claim 5, wherein the API registry receives a registration for the service comprising a property indicating that the debug instance of the service should be instantiated.

8. A non-transitory, computer-readable medium comprising instructions that, when executed by one or more processors, causes the one or more processors to perform operations comprising:

receiving a request for a service at a container environment, wherein;

the container environment comprises a service mesh and a plurality of services encapsulated in a plurality of containers; and

the service is encapsulated in first one or more containers;

determining that the request should be routed to a debug instance of the service;

instantiating the debug instance of the service, wherein the debug instance is encapsulated in second one or more containers and comprises;

code implementing the service; and

one or more debugging utilities;

routing, by the service mesh, the request to the debug instance.

9. The non-transitory computer-readable medium according to claim 8 wherein the service is encapsulated in a single container.

10. The non-transitory computer-readable medium according to claim 9 wherein the single container also comprises the one or more debugging utilities.

11. The non-transitory computer-readable medium according to claim 9 wherein the one or more debugging utilities are encapsulated in at least one container other than the single container.

12. The non-transitory computer-readable medium according to claim 9 wherein the one or more debugging utilities comprise a process for monitoring memory usage or processor usage.

13. The non-transitory computer-readable medium according to claim 9 wherein the one or more debugging utilities comprise a debug daemon.

14. The non-transitory computer-readable medium according to claim 9 wherein the code implementing the service comprises a debug build of the service.

15. A system comprising:

one or more processors; and

one or more memory devices comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising;

receiving a request for a service at a container environment, wherein;

the container environment comprises a service mesh and a plurality of services encapsulated in a plurality of containers; and

the service is encapsulated in first one or more containers;

determining that the request should be routed to a debug instance of the service;

instantiating the debug instance of the service, wherein the debug instance is encapsulated in second one or more containers and comprises;

code implementing the service; and

one or more debugging utilities;

routing, by the service mesh, the request to the debug instance.

16. The system of claim 15, wherein the debug instance of the service is instantiated prior to receiving the request.

17. The system of claim 15, wherein the debug instance of the service is instantiated in response to receiving the request.

18. The system of claim 15, wherein determining that the request should be routed to the debug instance of the service comprises identifying a source of the request.

19. The system of claim 15, wherein determining that the request should be routed to the debug instance of the service comprises recognizing a header in the request that designates the request as a debug request.

20. The system of claim 15, wherein the request is forwarded to the debug instance of the service without interrupting the routing of other requests to the service.