International Business Machines Corporation

Shriram Rajagopalan

Hani Talal Jamjoom

Saurabh Sinha

Jinho Hwang

Daniel J Williams

Gennaro A Cuomo

Jim Alain Laredo

Eran Raichstein

John Erik Wittern

Katherine Barabash

Arjun Natarajan

Anna Levin

Yaniv Ben-Itzhak

Idan Zach

Etai Lev-Ran

Zvi Cahana

Viktor Heorhiadi

Techniques for automated generation of inputs for testing microservice-based applications. In one example, a computer-implemented method includes: traversing, by a system operatively coupled to a processor, a user interface of a microservices-based application by performing actions on user interface elements of the user interface; and generating, by the system, an aggregated log of user interface event sequences and application program interface call sets based on the traversing. The computer-implemented method also includes: determining, by the system, respective user interface event sequences that invoke the application program interface call sets; and generating, by the system, respective test inputs based on the respective user interface event sequences that invoke the application program interface call sets.

Automated test input generation for integration testing of microservice-based web applications

Chaining virtual network functions is provided using a remote direct memory access in software-defined data centers in order to minimize latency. A data packet is processed using a virtual network function of the computer. The data packet is inserted into a shared memory pool for processing via remote direct memory access by a remote computer according to a network function of the remote computer that corresponds to the network function of the computer. The data packet is sent to a target destination device via a network in response to the remote computer marking the data packet as processed in the shared memory pool.

Chaining virtual network function services via remote memory sharing

Techniques for automated generation of inputs for testing microservice-based applications are provided. In one example, a computer-implemented method traverses a user interface of a microservices-based application by performing actions on user interface elements of the user interface, and generates an aggregated log of user interface event sequences and application program interface call sets based on the traversing. The computer-implemented method also determines respective user interface event sequences that invoke application program interface call sets and generates respective test inputs based on the user interface event sequences that invoke the application program interface call sets.

A computing system includes a plurality of physical hosts; a first application of a first tenant and a second application of a second tenant distributed over the plurality of physical hosts; and a plurality of virtual switches with a plurality of ports, each switch associated with a corresponding one of the physical hosts. A first virtual network couples the plurality of first application components and a second virtual network, isolated from the first virtual network, couples the plurality of second application components. A cloud management dashboard coupled to a software defined network controller is configured to receive an application performance monitoring request from a tenant and instruct the software defined network controller to turn on port mirroring on at least a portion of those of the plurality of ports corresponding to the application of the requesting tenant, to mirror corresponding packets to a packet data repository.

Providing agentless application performance monitoring (APM) to tenant applications by leveraging software-defined networking (SDN)

Examples of techniques for selectively providing mTLS using alternative server names are described herein. An example system includes a processor to generate an alternative server name in response to detecting a legacy indicator. The processor is to also associate the alternative server name with an address of a pod. The processor is to further configure a proxy associated with the pod to selectively provide mutual transport layer security (mTLS) based on the alternative server name.

Selectively providing mutual transport layer security using alternative server names

Techniques are provided for automated resiliency testing. In one example, a computer-implemented method comprises analyzing, by a system operatively coupled to a processor, an annotated state transition graph of a user interface of a microservices-based application, wherein the annotated state transition graph has edges annotated with application program interface call subgraphs. The computer-implemented method also comprises generating, by the system, an ordered list of the application program interface call subgraphs based on the analyzing.

Prioritizing resiliency tests of microservices

An embodiment includes a method for autonomous healing of an application comprising a plurality of microservices. The method comprises the steps of detecting a performance degradation of at least a portion of the application; and responsive to detecting the performance degradation, downgrading at least one of the plurality of microservices within the application. The downgrading comprises deploying a prior version of the at least one of the plurality of microservices; and routing at least a portion of traffic to the prior version instead of a current version of the at least one of the plurality of microservices.

Autonomously healing microservice-based applications

Embodiments of the present disclosure are directed to a computer implemented method of receiving data at a vehicle having control circuitry configured to wirelessly couple a processor system of the vehicle to a network. The method includes determining, using the processor system, a route that is expected to be traveled by the vehicle. The method further includes determining, using the processor system, a portion of the route that includes a buffering zone, wherein the buffering zone comprises an area in which the strength of signals transmitted over the network meets a predetermined criterion. The method further includes, based at least in part on a determination that the vehicle is within the buffering zone, pre-fetching data from a source over the network.

Predictive data prefetching for connected vehicles

Techniques for automated generation of inputs for testing microservice-based applications are provided. In one example, a computer-implemented method comprises: traversing, by a system operatively coupled to a processor, a user interface of a microservices-based application by performing actions on user interface elements of the user interface; and generating, by the system, an aggregated log of user interface event sequences and application program interface call sets based on the traversing. The computer-implemented method also comprises: determining, by the system, respective user interface event sequences that invoke application program interface call sets; and generating, by the system, respective test inputs based on the user interface event sequences that invoke the application program interface call sets.

Techniques for automated resiliency testing systems are provided. In one example, a computer-implemented method comprises traversing, by a system operatively coupled to a processor, an application program interface call subgraph of a microservices-based application in a depth first traversal. The computer-implemented method also comprises, during the traversing, performing, by the system, resiliency testing of parent application program interfaces of the application program interface call subgraph according to a systematic resilience testing algorithm that reduces and/or eliminates redundant resiliency testing of parent application program interfaces.

A learning-based computer network security system may include a service delivery controller executing on one or more of hardware processors that receives requests for transmitting network flows to one or more destination machines via a communication network. The service delivery controller may group the network flows into one or more similarity groups, and direct the network flows in a particular similarity group to a learning-based security appliance instance designated for the particular similarity group. Based on receiving feedback from the security appliance instance, the service delivery controller may regroup the similarity groups, and/or redirect the network flows, and/or redistribute the training results between the appliances, and/or modify assignment of appliances to similarity groups.

Service delivery controller for learning network security services

Systems and methods are provided for resiliency testing microservice-based applications. For example, a method for resiliency testing an application includes receiving a test script that specifies a failure scenario in a distributed microservice-based application comprising a plurality of microservices, and an asserted behavioral expectation of at least one microservice of the distributed microservice-based application in response to the specified failure scenario. The specified failure scenario is translated into fault injection rules. The fault injection rules are utilized to execute fault injection operations on messages that are exchanged between at least a first microservice and a second microservice of the distributed microservice-based application, to stage the specified failure scenario during the failure recovery testing of the distributed microservice-based application. The asserted behavioral expectation of the at least one microservice is compared with an observed behavior of the at least one microservice in response to the execution of the fault injection operations.

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White Plains, NY, United States of America

Shriram Rajagopalan