Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing incompliances of application instances running in a cloud environment. Compliance requests can be generated for incompliant instances of cloud applications running on a cloud platform. In response, compliance checks for the one or more incompliant instances of cloud applications running on the cloud platform can be automatically executed. Incompliances can be identified by different compliance monitors instantiated at the cloud platform. Each compliance monitor is responsible for a particular type of incompliances. In response to identifying that a first instance of a first cloud application has a first type of incompliance, a maintenance action to be automatically executed by a first compliance maintainer running on the cloud platform is scheduled. The first compliance maintainer executes automatically a compliance measurement action for the first type of incompliance.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing data replication. A request associated with storing content of a file is received at a storage service provided by in a multiple availability zone cloud platform. A lock request is sent to an in-memory data grid at a first instance of the storage service to lock the file for accessing. An input stream of the file is received at the persistence interface to be read iteratively in portions. A read portion of the file is iteratively stored in a first file system storage associated with instances of the storage service at a first availability zone. The portions of the file are provided iteratively to a replication executor at the first instance of the storage service to request replication of the content of the file into a second file storage of a second availability zone of the cloud platform.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing asynchronous data replication in a multiple availability zone cloud environment. Metadata for files for asynchronous replication at a second availability zone is stored at an in-memory data grid of a first instance of a storage service at a first availability zone at a multiple availability cloud platform that provides storage services. The in-memory data grid includes a queue data structure of metadata records and a map of metadata records. In response to determining that connection from the first availability zone to the second availability zone is available, asynchronous data replication for files identified at the map is executed. A file for replication is identified at the map and provided for replication at a second file storage at the second availability zone through a replication interface of a second instance of the storage service at the second availability zone.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing data replication. A request associated with storing content of a file is received at a storage service provided by in a multiple availability zone cloud platform. A lock request is sent to an in-memory data grid at a first instance of the storage service to lock the file for accessing. An input stream of the file is received at the persistence interface to be read iteratively in portions. A read portion of the file is iteratively stored in a first file system storage associated with instances of the storage service at a first availability zone. The portions of the file are provided iteratively to a replication executor at the first instance of the storage service to request replication of the content of the file into a second file storage of a second availability zone of the cloud platform.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing asynchronous data replication in a multiple availability zone cloud environment. Metadata for files for asynchronous replication at a second availability zone is stored at an in-memory data grid of a first instance of a storage service at a first availability zone at a multiple availability cloud platform that provides storage services. The in-memory data grid includes a queue data structure of metadata records and a map of metadata records. In response to determining that connection from the first availability zone to the second availability zone is available, asynchronous data replication for files identified at the map is executed. A file for replication is identified at the map and provided for replication at a second file storage at the second availability zone through a replication interface of a second instance of the storage service at the second availability zone.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing incompliances of application instances running in a cloud environment. Compliance requests can be generated for incompliant instances of cloud applications running on a cloud platform. In response, compliance checks for the one or more incompliant instances of cloud applications running on the cloud platform can be automatically executed. Incompliances can be identified by different compliance monitors instantiated at the cloud platform. Each compliance monitor is responsible for a particular type of incompliances. In response to identifying that a first instance of a first cloud application has a first type of incompliance, a maintenance action to be automatically executed by a first compliance maintainer running on the cloud platform is scheduled. The first compliance maintainer executes automatically a compliance measurement action for the first type of incompliance.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing data replication. A request associated with storing content of a file is received at a storage service provided by in a multiple availability zone cloud platform. A lock request is sent to an in-memory data grid at a first instance of the storage service to lock the file for accessing. An input stream of the file is received at the persistence interface to be read iteratively in portions. A read portion of the file is iteratively stored in a first file system storage associated with instances of the storage service at a first availability zone. The portions of the file are provided iteratively to a replication executor at the first instance of the storage service to request replication of the content of the file into a second file storage of a second availability zone of the cloud platform.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing asynchronous data replication in a multiple availability zone cloud environment. Metadata for files for asynchronous replication at a second availability zone is stored at an in-memory data grid of a first instance of a storage service at a first availability zone at a multiple availability cloud platform that provides storage services. The in-memory data grid includes a queue data structure of metadata records and a map of metadata records. In response to determining that connection from the first availability zone to the second availability zone is available, asynchronous data replication for files identified at the map is executed. A file for replication is identified at the map and provided for replication at a second file storage at the second availability zone through a replication interface of a second instance of the storage service at the second availability zone.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into relational database keys and methods, apparatus, and articles of manufacture to obtain encoded data from relational database keys are disclosed. Example apparatus disclosed herein include a code determiner to divide a relational database key value into a first number of groups. Disclosed example apparatus also includes an encoded data determiner to determine remainders for respective ones of the groups based on corresponding incremental values, and modify the remainders to obtain the encoded data.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes detecting, using a processor, a first symbol present in first text data, the first symbol including a white space character; mapping the first symbol to first data using the processor; detecting, using the processor, a second symbol present in the first text data by detecting a white space character or a flow control character; mapping, using the processor, the second symbol to a first bit position of the first data in encoded data; and determining the encoded data, using the processor, based on placing the first data in the first bit position.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes detecting, using a processor, a first symbol present in first text data, the first symbol including a white space character; mapping the first symbol to first data using the processor; detecting, using the processor, a second symbol present in the first text data by detecting a white space character or a flow control character; mapping, using the processor, the second symbol to a first bit position of the first data in encoded data; and determining the encoded data, using the processor, based on placing the first data in the first bit position.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: The present invention relates to a competitive inhibitor of the binding of the protein Bcl-2 L10 to the ligand binding domain of at least one of the IP3R receptors, for its use in the treatment of cancers, the cells of which express the protein Bcl-2 L10.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes detecting, using a processor, a first symbol present in first text data, the first symbol including a white space character; mapping the first symbol to first data using the processor; detecting, using the processor, a second symbol present in the first text data by detecting a white space character or a flow control character; mapping, using the processor, the second symbol to a first bit position of the first data in encoded data; and determining the encoded data, using the processor, based on placing the first data in the first bit position.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into relational database keys and methods, apparatus, and articles of manufacture to obtain encoded data from relational database keys are disclosed. Example apparatus disclosed herein include a code determiner to divide a relational database key value into a first number of groups. Disclosed example apparatus also includes an encoded data determiner to determine remainders for respective ones of the groups based on corresponding incremental values, and modify the remainders to obtain the encoded data.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into relational database keys and methods, apparatus, and articles of manufacture to obtain encoded data from relational database keys are disclosed. An example method to encode auxiliary data into relational data includes generating a code comprising a plurality of groups and representative of auxiliary data, determining incremental values for the plurality of groups, generating a first key based on the code, and generating a subsequent key by modifying the first key based on the value of the first key and the incremental values.