Abstract: Systems that determine relationships between network components of a cluster using packet filters are disclosed. A system can identify objects that implement services of a cluster and network connections associated with respective pairs of the objects. The system can also filter out network connections from the identified network connections. The filtering can remove connections between source objects and destination objects based on the destination objects lacking any components that implement a service in cluster. The filtering can also retain network connections between source objects and destination objects based on the source objects including components that each implement at least one service, and based on the second destination object including components that each implement at least one service. Additionally, the system can generate relationship maps and network topologies using the determined relationships.

Abstract: The present disclosure relates to systems and methods that enhance log data processing by asynchronously processing log data for detecting log messages that include errors and enriching the log messages with annotations that identify the errors. More particularly, log data that includes log records can be received. The log data can be asynchronously processed to validate a configuration of each log record and to validate data included in each log record. An attribute of a particular log record can be determined to correspond to an error. A category of the error can be determined. An enriched log record can be generated by augmenting the particular log record with error information indicating the category. The enriched log record can be transmitted via a user interface to facilitate correction of the error.

Abstract: Log data that includes a plurality of log records is asynchronously processed to validate a configuration of each log record and data included in each log record. It is determined that one or more attributes of a particular subset of log records of the plurality of log records corresponds to one or more errors. Using the particular subset, one or more enriched log records are generated by augmenting each log record of the particular subset of log records with error information that indicates one or more categories corresponding to the one or more errors. A user interface is generated to facilitate correction of the one or more errors, the user interface comprising a plurality of interactive elements corresponding to a plurality of error metrics of different categories of errors, wherein the one or more categories of the one or more errors are included in the different categories of errors.

Abstract: Techniques are disclosed for partitioning received data for use in a data stream. Data is received during a period of time at a device, such as a data partitioner. The device a) determines that a first subset of the data is for a first system component, b) a second subset of the data is for a second system component, and c) a third subset of the data is for the first system component. Also, determines that a first stream partition is mapped to the first system component and a second stream partition is mapped to the second system component. Based on these determinations, the device assigns the first and third subsets of the data to the first stream partition and the second subset of the data to the second stream partition. Thereafter, the device transmits a stream that includes the first stream partition and the second stream partition.

Abstract: Techniques are disclosed for aggregating received data from a data stream. Data is received from a particular stream partition to which a device is subscribed, and subsets of the data, from the particular stream partition, are aggregated based on respective keys associated with the subsets of the data. The device determines whether one or more subsets of data, associated with a particular key, meet at least one processing criteria, such as a threshold amount of data, and refraining from processing the aggregated data when the processing criteria is not met. Once additional subset(s) of data associated with the particular key are received, they are aggregated with the one or more subsets of data. When the processing criteria is satisfied, the device processes the aggregated subsets of data associated with the particular key.

Abstract: The present disclosure relates to systems and methods that enhance log data processing, storage, and querying by dynamically allocating mapping connections between processing/storage components based on characteristics of incoming data and the processing/storage components. More particularly, incoming data from a data stream may be extracted and utilized according to dynamic component mapping to more efficiently process the data. Additionally, active processing/storage metrics may cause dynamic reallocation of the component mappings to balance resource loads.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. The log analytics system, method, and computer program product provide target-based configuration of log monitoring metadata. The log analytics system, method, and computer program product can be implemented in a cloud-based/SaaS-based architecture.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. The log analytics system, method, and computer program product provide target-based configuration of log monitoring metadata. The log analytics system, method, and computer program product can be implemented in a cloud-based/SaaS-based architecture.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. The log analytics system, method, and computer program product provide target-based configuration of log monitoring metadata. The log analytics system, method, and computer program product can be implemented in a cloud-based/SaaS-based architecture.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. The log analytics system, method, and computer program product provide target-based configuration of log monitoring metadata. Variable pathnames (e.g., having variables instead of absolute pathnames) may be specified to identify a directory that contains log files to monitor.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach is provided for identifying log files that have undergone a change in status that would require retrieve of its log data, by including a module directly into the operating system that allows the log collection component to be reactively notified of any changes to pertinent log files.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach is provided for identifying log files that have undergone a change in status that would require retrieve of its log data, by including a module directly into the operating system that allows the log collection component to be reactively notified of any changes to pertinent log files.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach is provided for identifying log files that have undergone a change in status that would require retrieve of its log data, by including a module directly into the operating system that allows the log collection component to be reactively notified of any changes to pertinent log files.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach is provided for identifying log files that have undergone a change in status that would require retrieve of its log data, by including a module directly into the operating system that allows the log collection component to be reactively notified of any changes to pertinent log files.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. The log analytics system, method, and computer program product provide target-based configuration of log monitoring metadata. Variable pathnames (e.g., having variables instead of absolute pathnames) may be specified to identify a directory that contains log files to monitor.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. The log analytics system, method, and computer program product provide target-based configuration of log monitoring metadata. The log analytics system, method, and computer program product can be implemented in a cloud-based/SaaS-based architecture.