Amazon Technologies, Inc.

Sap Se

Infosys Limited

Infosys Technologies Limited

Vikas Gupta

Duane J Krause

Allan Henry Vermeulen

Jeffrey P Bezos

Andrew R Jassy

Eugene Wei

David A Schappell

Nipoon Malhotra

Aby Jose

John David Cormie

Rahul Singh

Amit W Gawande

Shruti Hansoge Ramesh

Sachin Ashok Wagh

A method, system, and computer-readable medium is described for facilitating interactions between software programs by providing a reliable data queuing service that enables the programs to store and retrieve elements of data queues. In some situations, the data queuing service is provided to users who purchase usage of the data queuing service for application programs executed by or otherwise affiliated with the users. In addition, accessibility of the data queuing service to remote executing programs may be enhanced via a defined API of the data queuing service, such as a Web services-based API. Availability of the data queuing service may also be enhanced in some situations by using multiple alternative distributed systems for a data queue such that each of the alternative systems stores a subset of the elements of the data queue.

Providing a reliable distributed queuing service

Techniques are described for providing a storage service that stores information about large numbers of transactions in a persistent manner, such as with a high degree of reliability, availability and scalability based at least in part on use of a distributed computing and storage system. In some situations, the transaction information storage service stores various information about transactions that each include at least one monetary payment (e.g., a micro-payment) between financial accounts of two or more of numerous users having accounts with one or more entities. The transaction information storage service may be provided by or otherwise affiliated with a merchant, and customers of the merchant may purchase usage of the storage service for programs executed by or otherwise affiliated with the customers, with the storage service available to remote executing programs via a defined API of the storage service, such as a Web services-based API.

Providing a distributed transaction information storage service

Various embodiments of systems and methods for trust circle through machine learning are described herein. The method includes identifying a website subscribed with the trust circle for aggregating data based upon a query. The query is received from a user of one or more registered users of the subscribed website. The one or more users' information and their respective authentication token is retrieved from the subscribed website. Based upon the authentication token of the respective user, information of the respective user is retrieved from one or more social media websites. The retrieved one or more users information and their retrieved one or more social media websites information is correlated to generate an output based upon the query. The output comprises reviews by the one or more users as reviewers, relationship of the reviewers with the user raised the query, and ratings clustered based upon various parameters.

System, method, and computer-readable storage medium for determining a trust circle through machine learning

A request with data is received at an execution environment of an application. In response to the request, a first network packet is automatically created. The first network packet includes the data, orchestration code and application code of the application. The first network packet is sent to a first network node. The first network node executes a first section of the application code in a node execution environment. The section to be executed is determined based on the orchestration code. In response to the execution, a microservice associated with the application is invoked. Upon receiving a response from the microservice, a second network packet is dynamically generated. The second network packet includes the received response, the orchestration code, and one or more sections of the application code. The second network packet is sent to a second network node.

Dynamic orchestration of microservices

Various technologies related to uniform resource locator (URL) sequence patterns are described. Such patterns can be used to determine a distribution of a mix of the URL sequence patterns occurring within given URL sequences. A production environment URL log can be analyzed using the technologies described herein to recreate a production environment load in a test environment. Transaction sequences and strongly coupled relationships can be supported.

Workload patterns for realistic load recreation in performance testing

A computer implemented method of integrating microservices. The computer displays a graphical environment and determines a suggested next microservice according to usage data. At least one of the microservices may access a hardware sensor that generates measurement data for the at least one microservice.

System and method for integrating microservices

Systems and methods for providing an auto-search text box in a content submission system are provided. In example embodiments, a message interface that is used to submit content to a content submission system is provided. The message interface includes a short text field that receives at least one keyword that summarizes the content to be submitted. In response to completion of entry of the at least one keyword in the short text field, a search of a content database for previously submitted content that matches the at least one keyword is automatically performed. Based on the search, a results list is displayed in proximity to the short text field on the message interface. The results list comprises a title and a link for each result in the results lists.

Auto-search textbox in a content submission system

In an example embodiment, a method of performing a health check on a process integration (PI) component is provided. A PI health check scenario is loaded into the PI component, the PI health check scenario including a reference to a list of checks. The PI health check scenario is then executed using the PI component, causing one or more checks in the list of checks to be performed at a predetermined frequency. The system can then automatically determine if one or more of the one or more checks fail.

System and method of performing a health check on a process integration component

A method for creating workload model to test performance of a critical application in a data processing network () is disclosed. The method includes receiving (), at one of the plurality of data processing units (), an activity log with a plurality of entities from the data processing network (). The method further includes creating () a transaction log of all transactions conducted using the activity log. Further the method determines () a plurality of transaction metrics using the transaction log, wherein the plurality of transaction metrics comprises an average transaction response time, a transaction throughput etc. The method further creates a workload model to test the critical performance of an application in the data processing network () based on the plurality of transaction metrics and provide effective performance test strategies.

Transaction based workload modeling for effective performance test strategies

An approach to determine the service demand of various resources of any individual server (present in a cluster of servers), given the overall transaction throughput and utilization values of these resources, in case of a network load balanced scenario is disclosed. The method proposes a quantitative approach to calculate the transaction throughput of each network load balanced server from the overall transaction throughput, obtained from any commercial performance testing tool. The individual transaction throughputs are calculated using monitored values of network related performance counters of each server and the load balancer obtained from performance testing. Service demands of the resource can be computed using the Utilization law of Queuing Theory once the throughput of that server and utilization of that resource is obtained.

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Bengaluru, India

Vikas Gupta