Abstract: Methods, apparatus, and processor-readable storage media for resource scaling of microservice containers are provided herein. An example method includes determining a scaling value for at least one microservice of a plurality of microservices for a cluster of a container-based computing environment based on resource utilization information associated with incoming requests to the plurality of microservices and an amount of resources allocated to the cluster; in response to the at least one microservice exceeding the scaling value, reducing a number of resources utilized by the at least one microservice by storing one or more further incoming requests associated with the at least one microservice in a queue; and releasing one or more of the further incoming requests stored in the queue in response to determining that the one or more further incoming requests can be processed without the at least one microservice exceeding the scaling value.

Abstract: Techniques for managing activation of software, e.g., an operating system, in an information processing system are provided. For example, a method comprises the following steps. A data object is obtained for a system having an un-activated computer program stored thereon. The data object comprises information about the system encrypted by a private value. The method then causes the data object to be securely stored on a distributed ledger for subsequent access during a process to activate the computer program.

Abstract: Techniques for managing activation of software, e.g., an operating system, in an information processing system are provided. For example, a method comprises the following steps. A data object is obtained for a system having an un-activated computer program stored thereon. The data object comprises information about the system encrypted by a private value. The method then causes the data object to be securely stored on a distributed ledger for subsequent access during a process to activate the computer program.

Abstract: Techniques for managing activation of software, e.g., an operating system, in an information processing system are provided. For example, a method comprises the following steps. A data object is obtained for a system having an un-activated computer program stored thereon. The data object comprises information about the system encrypted by a private value. The method then causes the data object to be securely stored on a distributed ledger for subsequent access during a process to activate the computer program.

Abstract: Described embodiments provide real time load balancing and calibration processes. An aspect includes receiving a request to execute a service, assessing capacity of a target server to execute the service, and setting a threshold for a number of services to be executed on the target server. A further aspect includes assigning a unique identifier of the service to the target server, and based on the threshold and an assessment of a capability of other servers, assigning the service to the server.

Abstract: Techniques for managing activation of software, e.g., an operating system, in an information processing system are provided. For example, a method comprises the following steps. A data object is obtained for a system having an un-activated computer program stored thereon. The data object comprises information about the system encrypted by a private value. The method then causes the data object to be securely stored on a distributed ledger for subsequent access during a process to activate the computer program.

Abstract: Techniques for intelligent service request control in an information processing system are provided. For example, a method comprises the following steps. In response to a failure of a request sent to a given service, data relating to one or more previous requests sent to the given service is analyzed. A recovery recommendation is generated based on the analyzing step and one or more factors, the recovery recommendation comprising a retry methodology to resend the request to the given service.

Abstract: A system receives an initial application programming interface request for the bulk data operation from a client, and determines an optimal data size based on a tripping point. The system sends application programming interface requests that include the optimal data size, and combines responses to the application programming interface requests into a single response prior to transmission to the client via the receiver.

Abstract: A system receives an initial application programming interface request for the bulk data operation from a client, and determines an optimal data size based on a tripping point. The system sends application programming interface requests that include the optimal data size, and combines responses to the application programming interface requests into a single response prior to transmission to the client via the receiver.

Abstract: Described embodiments provide real time load balancing and calibration processes. An aspect includes receiving a request to execute a service, assessing capacity of a target server to execute the service, and setting a threshold for a number of services to be executed on the target server. A further aspect includes assigning a unique identifier of the service to the target server, and based on the threshold and an assessment of a capability of other servers, assigning the service to the server.

Abstract: Described embodiments provide real time load balancing and calibration processes. An aspect includes receiving a request to execute a service, assessing capacity of a target server to execute the service, and setting a threshold for a number of services to be executed on the target server. A further aspect includes assigning a unique identifier of the service to the target server, and based on the threshold and an assessment of a capability of other servers, assigning the service to the server.