Abstract: An example method facilitates modification and generation of User Interface (UI) display screens for webpages and web applications, such as process-based software applications. The example method includes receiving a first signal to access a webpage that includes a static UI display screen for a web application; serving the webpage in response to the signal; detecting the dynamic configuration functionality associated with the webpage, wherein the configuration functionality includes code and UI metadata provided in or with a dynamic layout file, the code and UI metadata including one or more rules and specifications for configuring schema used to generate rendering instructions for the dynamic part of the webpage.

Abstract: An example method facilitates modification and generation of User Interface (UI) display screens for webpages and web applications, such as process-based software applications. The example method includes receiving a first signal to access a webpage that includes a static UI display screen for a web application; serving the webpage in response to the signal; detecting the dynamic configuration functionality associated with the webpage, wherein the configuration functionality includes code and UI metadata provided in or with a dynamic layout file, the code and UI metadata including one or more rules and specifications for configuring schema used to generate rendering instructions for the dynamic part of the webpage.

Abstract: An example method facilitates modification and generation of User Interface (UI) display screens for webpages and web applications, such as process-based software applications. The example method includes receiving a first signal to access a webpage that includes a static UI display screen for a web application; serving the webpage in response to the signal; detecting the dynamic configuration functionality associated with the webpage, wherein the configuration functionality includes code and UI metadata provided in or with a dynamic layout file, the code and UI metadata including one or more rules and specifications for configuring schema used to generate rendering instructions for the dynamic part of the webpage.

Abstract: Systems and methods for performing unsupervised baselining and anomaly detection using time-series data are described. In one or more embodiments, a baselining and anomaly detection system receives a set of time-series data. Based on the set of time-series, the system generates a first interval that represents a first distribution of sample values associated with the first seasonal pattern and a second interval that represents a second distribution of sample values associated with the second seasonal pattern. The system then monitors a time-series signals using the first interval during a first time period and the second interval during a second time period. In response to detecting an anomaly in the first seasonal pattern or the second seasonal pattern, the system performs a responsive action, such as generating an alert.

Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.

Abstract: Systems and methods for performing unsupervised baselining and anomaly detection using time-series data are described. In one or more embodiments, a baselining and anomaly detection system receives a set of time-series data. Based on the set of time-series, the system generates a first interval that represents a first distribution of sample values associated with the first seasonal pattern and a second interval that represents a second distribution of sample values associated with the second seasonal pattern. The system then monitors a time-series signals using the first interval during a first time period and the second interval during a second time period. In response to detecting an anomaly in the first seasonal pattern or the second seasonal pattern, the system performs a responsive action, such as generating an alert.

Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.

Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.

Abstract: Systems and methods for performing unsupervised baselining and anomaly detection using time-series data are described. In one or more embodiments, a baselining and anomaly detection system receives a set of time-series data. Based on the set of time-series, the system generates a first interval that represents a first distribution of sample values associated with the first seasonal pattern and a second interval that represents a second distribution of sample values associated with the second seasonal pattern. The system then monitors a time-series signals using the first interval during a first time period and the second interval during a second time period. In response to detecting an anomaly in the first seasonal pattern or the second seasonal pattern, the system generates an alert.

Abstract: An example method facilitates modification and generation of User Interface (UI) display screens for webpages and web applications, such as process-based software applications. The example method includes receiving a first signal to access a webpage that includes a static UI display screen for a web application; serving the webpage in response to the signal; detecting the dynamic configuration functionality associated with the webpage, wherein the configuration functionality includes code and UI metadata provided in or with a dynamic layout file, the code and UI metadata including one or more rules and specifications for configuring schema used to generate rendering instructions for the dynamic part of the webpage.

Abstract: Systems and methods for performing unsupervised baselining and anomaly detection using time-series data are described. In one or more embodiments, a baselining and anomaly detection system receives a set of time-series data. Based on the set of time-series, the system generates a first interval that represents a first distribution of sample values associated with the first seasonal pattern and a second interval that represents a second distribution of sample values associated with the second seasonal pattern. The system then monitors a time-series signals using the first interval during a first time period and the second interval during a second time period. In response to detecting an anomaly in the first seasonal pattern or the second seasonal pattern, the system performs a responsive action, such as generating an alert.

Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.

Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.

Abstract: Systems and methods for performing unsupervised baselining and anomaly detection using time-series data are described. In one or more embodiments, a baselining and anomaly detection system receives a set of time-series data. Based on the set of time-series, the system generates a first interval that represents a first distribution of sample values associated with the first seasonal pattern and a second interval that represents a second distribution of sample values associated with the second seasonal pattern. The system then monitors a time-series signals using the first interval during a first time period and the second interval during a second time period. In response to detecting an anomaly in the first seasonal pattern or the second seasonal pattern, the system generates an alert.

Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.

Abstract: A method of displaying data on a display screen is provided wherein first and second display zones are provided on the display screen. The display zones are sized so that, in combination, they substantially occupy a predetermined display area of the display screen which may, for example, be the display screen of a handheld device. In one embodiment, the relative sizes of the display zones are dynamically set dependent upon content to be displayed in each display zone. For example, a display zone for displaying list content may be larger than a display zone for displaying form content. The display zones may be arranged in a lateral fashion wherein they have substantially similar heights, or arranged in a stacked fashion with substantially similar widths. The respective widths or heights, as the case may be, may be sized dependent upon the content for display in each zone.

Abstract: In one implementation, a method includes obtaining a data entry from a user of a device, and obtaining a first time entry related to a first time zone. The first time entry and the first time zone are selected by a user of the device and the device converts the first time entry to a second time in a second time zone associated with a user of the device. The device then stores the data entry with the second time in the device. The method and device can thus be used to schedule a meeting in a selected local time in selected time zone, which is then converted to a local time in a time zone associated with the device.

Abstract: In one embodiment, a method for providing a debugging functionality embedded in an application supporting an n-tiered architecture includes determining that the debugging functionality embedded in the application is requested, and causing current state information to be presented to a user at each break point in the production environment.

Abstract: A method of, and computer device for, processing a time-related data entry is provided. The method comprises obtaining the data entry from a user of the device, and obtaining a first time entry related to a first time zone. The first time entry and the first time zone are selected by a user of the device and the device converts the first time entry to a second time in a second time zone associated with a user of the device. The device then stores the data entry with the second time in the device. The method and device can thus be used to schedule a meeting in a selected local time in selected time zone, which is then converted to a local time in a time zone associated with the device.

Abstract: A method of displaying data on a display screen is provided wherein first and second display zones are provided on the display screen. The display zones are sized so that, in combination, they substantially occupy a predetermined display area of the display screen which may, for example, be the display screen of a handheld device. In one embodiment, the relative sizes of the display zones are dynamically set dependent upon content to be displayed in each display zone. For example, a display zone for displaying list content may be larger than a display zone for displaying form content. The display zones may be arranged in a lateral fashion wherein they have substantially similar heights, or arranged in a stacked fashion with substantially similar widths. The respective widths or heights, as the case may be, may be sized dependent upon the content for display in each zone.