An apparatus for decoding and rendering or otherwise processing, manipulating, or outputting a variety of digital data is provided. The apparatus may include a browser engine configured to receive first encoded digital data. The apparatus may include a browser extension configured to intercept the first encoded digital data transmitted in response to a first request from the browser engine. The browser extension may be configured to intercept a first decoder written in a platform-independent syntax for decoding at least a portion of the first encoded digital data. The browser extension may be configured to point the browser engine to one or more local storage locations of the first encoded digital data and the first decoder.

Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls. Such tests may be used to train the machine learning model.

Job report objects (Java objects) are created by task executors in connection with implementation of a job on a storage system. The Java objects are passed to a job report service that converts the Java objects into XML objects using an XML encoder/decoder. The XML objects are persisted by the job report service as text in a database. If a job report is requested, the job report service retrieves a job record for the corresponding report from the database, creates Java objects, and passes the Java objects to a storage system management client. The client creates an internal model of the report containing a corresponding set of strongly typed TypeScript objects. The TypeScript objects are passed to a pdf data exporter that converts the internal TypeScript objects into untyped JavaScript objects. The untyped JavaScript objects are input to a .pdf generator which generates the requested report as a .pdf document.

Job report objects (Java objects) are created by task executors in connection with implementation of a job on a storage system. The Java objects are passed to a job report service that converts the Java objects into XML objects using an XML encoder/decoder. The XML objects are persisted by the job report service as text in a database. If a job report is requested, the job report service retrieves a job record for the corresponding report from the database, creates Java objects, and passes the Java objects to a storage system management client. The client creates an internal model of the report containing a corresponding set of strongly typed TypeScript objects. The TypeScript objects are passed to a pdf data exporter that converts the internal TypeScript objects into untyped JavaScript objects. The untyped JavaScript objects are input to a .pdf generator which generates the requested report as a .pdf document.

Data is organized in a hierarchical data tree having nodes, and is formatted in human-readable data according to a schema. The data is canonically ordered in correspondence with a canonical ordering of a schema dictionary generated from the schema. The canonically ordered data is encoded into binary, including for each node, removing a label of the node, and adding a sequence number of the node corresponding to the canonical ordering, in binary.

Data is organized in a hierarchical data tree having nodes, and is formatted in human-readable data according to a schema. The data is canonically ordered in correspondence with a canonical ordering of a schema dictionary generated from the schema. The canonically ordered data is encoded into binary, including for each node, removing a label of the node, and adding a sequence number of the node corresponding to the canonical ordering, in binary.

A system includes a memory and a processor, where the processor is in communication with the memory. The processor is configured to receive a request to compress a schema. The schema is analyzed to determine whether to apply a first type of compression or a second type of compression, where analyzing the schema includes determining whether the schema exceeds a threshold level. Upon determining that the schema exceed the threshold level, a compressed schema is generated by performing the second type of compression. Next, the processor responds to the request with the compressed schema.

An apparatus for decoding and rendering or otherwise processing, manipulating, or outputting a variety of digital data is provided. The apparatus may include a browser engine configured to receive first encoded digital data. The apparatus may include a browser extension configured to intercept the first encoded digital data transmitted in response to a first request from the browser engine. The browser extension may be configured to intercept a first decoder written in a platform-independent syntax for decoding at least a portion of the first encoded digital data. The browser extension may be configured to point the browser engine to one or more local storage locations of the first encoded digital data and the first decoder.

An apparatus for decoding and rendering or otherwise processing, manipulating, or outputting a variety of digital data is provided. The apparatus may include a browser engine configured to receive first encoded digital data. The apparatus may include a browser extension configured to intercept the first encoded digital data transmitted in response to a first request from the browser engine. The browser extension may be configured to intercept a first decoder written in a platform-independent syntax for decoding at least a portion of the first encoded digital data. The browser extension may be configured to point the browser engine to one or more local storage locations of the first encoded digital data and the first decoder.

A database system may utilize XML schema information to increase the efficiency of an XPath streaming evaluation. The database system may access XML schema or translation information during the evaluation of an element, attribute, or value in an XML data source. Based on the XML schema or translation information, the database system may determine matches to an XPath expression without decoding any binary-encoded data in the XML data source. Also, based on the XML schema information, the database may selectively skip or evaluate portions of the XML data source depending on whether those portions are defined in the XML schema so as to possibly contain a match to one or more unmatched steps in the XPath expression. XML schema information may be compiled into a compiled representation of the XPath expression for additional efficiencies.