17986292. DETECTING IMPACT OF API USAGE IN MICROSERVICES simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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DETECTING IMPACT OF API USAGE IN MICROSERVICES

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Rei Odaira of Austin TX (US)

Bedri Sendir of Austin TX (US)

Prawar Poudel of Morang (NP)

DETECTING IMPACT OF API USAGE IN MICROSERVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17986292 titled 'DETECTING IMPACT OF API USAGE IN MICROSERVICES

Simplified Explanation

The computer hardware system described in the abstract includes a static analyzer, a load estimator, and a hardware processor. The system analyzes egress API call sites associated with an ingress API handler of a microservice, generates weights for each site, estimates the load based on these weights, and modifies the microservice accordingly.

  • Static analyzer generates weights for egress API call sites
  • Load estimator determines load based on weights and call frequency
  • Hardware processor modifies microservice based on load analysis

Potential Applications

The technology can be applied in:

  • Cloud computing
  • Microservices architecture
  • Performance optimization in software development

Problems Solved

This technology addresses issues such as:

  • Overloaded API endpoints
  • Inefficient resource allocation
  • Poor performance of microservices

Benefits

The benefits of this technology include:

  • Improved scalability
  • Enhanced performance
  • Efficient resource utilization

Potential Commercial Applications

The technology can be commercially benefit:

  • Cloud service providers
  • Software development companies
  • IT consulting firms

Possible Prior Art

One possible prior art could be:

  • Load balancing algorithms in distributed systems

Unanswered Questions

How does the system handle dynamic changes in load over time?

The system likely utilizes real-time monitoring and adjustment mechanisms to adapt to changing load conditions.

What impact does the modification of the microservice have on overall system performance?

The modification of the microservice based on load analysis could potentially improve system performance by optimizing resource allocation and reducing bottlenecks.


Original Abstract Submitted

A computer hardware system includes a static analyzer, a load estimator, and a hardware processor configured to perform the following executable operations. Using the static analyzer and for each egress API call site respectively associated with an ingress API handler of a microservice, a weight is generated and is included within a static analysis of the microservice also generated by the static analyzer. Using the load estimator and for each of the egress API call sites, a load is determined based upon the weight for the egress API call site, a number of times, over a predetermined period of time, a particular ingress API handler associated with the egress API call site is called, and a cost of a call to the egress API call site. Based upon the load, the microservice is modified.