Patent US10303576

Systems and methods for IT intelligence and management based on container-level metering
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US10303576

1. A system for containerized Information Technology (IT) intelligence and management, comprising: (14) (12)

a meter platform and at least one analytics platform; wherein the meter platform comprises at least one collector, at least one meter application programming interface (API), and at least one connector;

wherein the at least one collector comprises an infrastructure collector container, an inventory collector container, a metrics collector container, a local database container, and an on-premises connector;

wherein the at least one collector is customized for at least one container application platform with information comprising an infrastructure name, a domain name, a log level, whether to use an Secure Sockets Layer (SSL), whether to verify the SSL, a Kubelet port, a Docker Cgroup namespace, a data age period, a default Local Area Network (LAN) Input/Output (I/O), a default Wide Area Network (WAN) I/O, and a default Disk I/O;

wherein the infrastructure name is a unique name to be applied to a container cluster in a container environment, wherein the domain name is for a dedicated cluster in the container environment, wherein the log level indicates a verbosity of a collector log, wherein whether to use an SSL indicates access to a Kubernetes API over the SSL or not, wherein whether to verify the SSL indicates verifying a Kubernetes SSL certificate or not, wherein the Kubelet port is a port that a Kubernetes API pod is listening on, wherein the data age period is an age period of data for clean cache, wherein the default LAN I/O is a fallback value for LAN I/O speed per node if the at least one collector cannot determine an actual LAN speed, wherein the default WAN I/O is a fallback value for WAN I/O speed per node if the at least one collector cannot determine an actual WAN speed, and wherein the default Disk I/O is a fallback value for disk I/O speed per node if the collector cannot determine the actual disk speed;

wherein the at least one meter API comprises a Workload Allocation Cube (WAC) calculator container, wherein the at least one meter API is configured with information comprising an organization ID, an Open Authorization token, a host address, a port, whether to use an SSL for the at least one meter API, and whether to verify the SSL for the at least one meter API;

wherein the inventory collector container is operable to retrieve a list of application containers for metering from each container application platform, wherein the list of application containers is updated as application containers are added or removed for consumption;

wherein the metrics collector container is operable to collect sample data of processor usage, memory usage, storage usage, Disk I/O, LAN I/O, and WAN I/O from application containers not metered yet;

wherein the on-premises connector is operable to transmit the sample data to the at least one meter API;

wherein the at least one meter API is configured to measure consumption of the at least one container application platform based on the sample data, thereby creating meter data;

wherein the at least one connector is configured to extract, transform, and load the meter data to the at least one analytics platform; and

wherein the at least one analytics platform is configured to track computing resource usage, provide insight into the computing resource usage, and optimize the computing resource usage of the at least one container application platform in real time.

2. The system of claim 1, wherein the at least one collector comprises a first level of specific collectors collecting data from the at least one container application platform and a second level of general collectors transmitting the data from the first level of specific collectors to the at least one meter. (0)

3. The system of claim 1, wherein the at least one meter API further comprises a cost calculator container, a capacity calculator container, and a data retention manger container. (0)

4. The system of claim 1, wherein the at least one meter is operable to measure consumption of the at least one container application platform and create readings every 5 minutes in an internal datastore, and wherein the at least one meter is operable to aggregate the 5-minute readings and creates daily and/or monthly readings for the at least one container application platform. (0)

5. The system of claim 1, wherein the meter platform is constructed as a Kubernetes node, wherein the at least one collector is constructed as a Kubernetes pod, wherein the at least one connector is constructed as a Kubernetes pod, and wherein the at least one meter API is constructed as a Kubernetes pod. (0)

6. The system of claim 1, wherein the WAC calculator container is operable to calculate six metrics including processor usage, memory usage, storage usage, Disk I/O, LAN I/O, and WAN I/O with weighting factors based on computing resource types for the at least one container application platform. (0)

7. The system of claim 1, wherein the meter platform further comprises a reporting dashboard providing access to operational status and configuration of the at least one container application platform. (0)

8. The system of claim 1, wherein the at least one analytics platform is operable to create and deliver consumption reports for at least one of billing, cost recovery, and showback for the at least one container application platform. (0)

9. The system of claim 1, wherein the at least one analytics platform comprises a planning tool for operators to adjust usage of certain IT infrastructure by the at least one container application platform. (1) (0)

11. The system of claim 1, wherein the at least one analytics platform comprises a contract calculator for consumers to maximize savings from consumption. (0)

12. The system of claim 1, wherein the at least one analytics platform provides a finance calculator for computing resource providers to track and optimize Return on Investment (ROI) based on at least one of consumption patterns, contract rates, and estimated growth cycles. (0)

13. The system of claim 1, wherein the metered state of each application container is indicated by a flag, and wherein the flag is set as false for an application container not metered yet. (0)

14. The system of claim 1, wherein the metrics collector container is further operable to read the metered state of each application container stored in the local database container. (0)

15. The system of claim 1, wherein the metrics collector container is further operable to update the metered state of each application container stored in the local database container based on the sample data. (0)

16. The system of claim 1, wherein the organization ID is a unique ID of the meter platform to submit inventory under, wherein the Open Authorization token is for accessing the meter platform, wherein the host address is an address of the meter platform, wherein the port is a port of the at least one meter API, wherein whether to use an SSL for the at least one meter API indicates accessing the meter platform over the SSL or not, and wherein whether to verify the SSL for the at least one meter API indicates verifying an SSL certificate for the at least one meter API or not. (0)

17. A system for containerized Information Technology (IT) intelligence and management, comprising: (0) (11)

at least one collector, at least one meter, and at least one connector, and at least one analytics platform;

wherein the at least one collector is customized for at least one container application platform, with information comprising an infrastructure name, a domain name, a log level, whether to use an Secure Sockets Layer (SSL), whether to verify the SSL, a Kubelet port, a Docker Cgroup namespace, a data age period, a default Local Area Network (LAN) Input/Output (I/O), a default Wide Area Network (WAN) I/O, and a default Disk I/O;

wherein the at least one meter comprises at least one meter application programming interface (API), wherein each of the at least one meter API comprises a Workload Allocation Cube (WAC) calculator container, wherein the at least one meter API is configured with information comprising an organization ID, an Open Authorization token, a host address, a port, whether to use an SSL for the at least one meter API, and whether to verify the SSL for the at least one meter API;

wherein the local database container is operable to store the list of application containers, a metered state of each application container in the list of application containers, and associated metadata; wherein the metrics collector container is operable to collect sample data for processor usage, memory usage, storage usage, Disk I/O, LAN I/O, and WAN I/O from application containers not metered yet;

wherein the on-premises connector is operable to transmit the sample data to the at least one meter API;

wherein the at least one meter is configured to measure consumption of the at least one container application platform based on the sample data from the at least one collector, thereby creating meter data;

wherein the at least one connector is configured to extract, transform, and load the meter data to the at least one analytics platform; and

18. A method for containerized Information Technology (IT) intelligence and management, comprising: (1) (11)

providing at least one collector, at least one meter, at least one connector, and at least one analytics platform, wherein the at least one collector is customized for at least one container application platform, wherein the at least one collector comprises an infrastructure collector container, an inventory collector container, a metrics collector container, a local database container, and an on-premises connector, wherein the at least one meter comprises at least one meter application programming interface (API), wherein each of the at least one meter API comprises a Workload Allocation Cube (WAC) calculator container;

customizing the at least one collector for at least one container application platform with information comprising an infrastructure name, a domain name, a log level, whether to use an Secure Sockets Layer (SSL), whether to verify the SSL, a Kubelet port, a Docker Cgroup namespace, a data age period, a default Local Area Network (LAN) Input/Output (I/O), a default Wide Area Network (WAN) I/O, and a default Disk I/O;

configuring the at least one meter API with information comprising an organization ID, an Open Authorization token, a host address, a port, whether to use an SSL for the at least one meter API, and whether to verify the SSL for the at least one meter API;

the inventory collector container retrieving a list of application containers for metering from each container application platform, wherein the list of application containers is updated as application containers are added or removed for consumption;

the local database container storing the list of application containers, a metered state of each application container in the list of application containers, and associated metadata;

the metrics collector container collecting sample data of processor usage, memory usage, storage usage, Disk I/O, LAN I/O, and WAN I/O from application containers not metered yet;

the on-premises connector transmitting the sample data to the at least one meter;

the at least one meter measuring consumption of the at least one container application platform based on the sample data, thereby creating meter data;

the at least one connector extracting, transforming, and loading the meter data to the at least one analytics platform; and

the at least one analytics platform tracking computing resource usage, providing insight into the computing resource usage, and optimizing the computing resource usage of the at least one container application platform based on the meter data in real time.

19. The method of claim 18, further comprising the WAC calculator container calculating six metrics including processor usage, memory usage, storage usage, Disk I/O, LAN I/O, and WAN I/O with weighting factors based on computing resource types for the at least one container application platform. (0)

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Patent US10303576

Systems and methods for IT intelligence and management based on container-level metering

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