Container-based applications
Provided is a method, computer program product, and system for adjusting a container-based application. A processor may receive one or more function calls at a container-based application. The processor may process the one or more function calls using the container-based application. The processor may obtain performance data from the container-based application based on the processing of the one or more function calls. The processor may analyze the performance data against a performance measure limit. The processor may adjust an aspect of the container-based application based on the analysis of the performance data. The aspect may be one or more selected from the group consisting of a resource and a functionality of the contain-based application.
1. A computer-implemented method comprising:
receiving one or more function calls at a container-based application;
processing the one or more function calls using the container-based application;
obtaining performance data from the container-based application based on the processing of the one or more function calls;
analyzing the performance data against a performance measure limit, wherein analyzing the performance data comprises:
determining a processing time for processing the one or more function calls;
comparing the processing time to a predetermined threshold; and
identifying, in response to the processing time exceeding the predetermined threshold, a knee-of-the-curve based on the analyzed performance data, wherein the knee-of-the-curve comprises an exponential change in a variable of the performance data; and
adjusting, based on the analysis of the performance data, a front-end functionality of the contain-based application by reducing an amount of data displayed.
2. The computer-implemented method of claim 1 , wherein analyzing the performance data against the performance measure limit comprises determining whether the performance measure limit has been reached.
3. The computer-implemented method of claim 1 , wherein analyzing the performance data against the performance measure limit comprises determining whether the performance measure limit will be reached within a predetermined time period.
4. The computer-implemented method of claim 1 , wherein the performance measure limit is selected from the group consisting of:
a scalability limit, wherein the scalability limit is selected from the group consisting of:
a physical resource limit;
a virtual resource limit;
a container resource limit; and
a predefined scaling limit;
a cost limit;
a responsivity limit;
a CPU utilization per execution;
a CPU utilization for a container;
a memory utilization;
a network throughput;
a network latency;
a storage throughput;
a storage latency;
a request response time;
a number of transactions per second; and
a failure rate.
5. The computer-implemented method of claim 1 , further comprising:
determining, based on the performance data, a workload of the container-based application;
correlating the workload of the container-based application with historical workload characteristics from one or more container-based applications;
predicting, in response to the correlating, if the performance measure limit will be met based on the performance data.
6. The computer-implemented method of claim 5 , comprising:
forecasting, based on the predicting, a utilization of the container-based application.
7. A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:
receiving one or more function calls at a container-based application;
processing the one or more function calls using the container-based application;
obtaining performance data from the container-based application based on the processing of the one or more function calls;
analyzing the performance data against a performance measure limit, wherein analyzing the performance data comprises:
determining a processing time for processing the one or more function calls;
comparing the processing time to a predetermined threshold; and
identifying, in response to the processing time exceeding the predetermined threshold, a knee-of-the-curve based on the analyzed
performance data, wherein the knee-of-the-curve comprises an exponential
change in a variable of the performance data; and
adjusting, based application based on the analysis of the performance data, a front-end functionality of the contain-based application reducing an amount of data displayed.
8. The computer program product of claim 7 , wherein analyzing the performance data against the performance measure limit comprises:
determining whether the performance measure limit will be reached within a predetermined time period.
9. The computer program product of claim 7 , wherein the performance measure limit is selected from the group consisting of:
a scalability limit, wherein the scalability limit is selected from the group consisting of:
a physical resource limit;
a virtual resource limit;
a container resource limit; and
a predefined scaling limit;
a cost limit;
a responsivity limit;
a CPU utilization per execution;
a CPU utilization for a container;
a memory utilization;
a network throughput;
a network latency;
a storage throughput;
a storage latency;
a request response time;
a number of transactions per second; and
a failure rate.
10. A system, comprising:
a processor; and
a computer-readable storage medium communicatively coupled to the processor and storing program instructions which, when executed by the processor, cause the processor to perform a method comprising:
receiving one or more function calls at a container-based application;
processing the one or more function calls using the container-based application;
obtaining performance data from the container-based application based on the processing of the one or more function calls;
analyzing the performance data against a performance measure limit, wherein analyzing the performance data comprises:
determining a processing time for processing the one or more function calls;
comparing the processing time to a predetermined threshold; and
identifying, in response to the processing time exceeding the predetermined threshold, a knee-of-the-curve based on the analyzed performance data, wherein the knee-of-the-curve comprises an exponential change in a variable of the performance data; and
adjusting, based on the analysis of the performance data, a front-end functionality of the contain-based application by reducing an amount of data displayed.
11. The system of claim 10 , wherein analyzing the performance data against the performance measure limit comprises determining whether the performance measure limit has been reached.
12. The system of claim 10 , wherein analyzing the performance data against the performance measure limit comprises determining whether the performance measure limit will be reached within a given time period.