Abstract: The present invention pertains to a beverage pod that has multiple separate compartments for use in an automatic beverage brewing machine. The beverage pod has at least two separate compartments inside. One compartment can hold one beverage ingredient, whereas another compartment can hold a different beverage ingredient. These ingredients can be either a solid or a liquid and are kept separated until the brewing process. During the brewing process, these ingredients can be combined with hot or cold water to produce a uniquely flavored beverage for human consumption.

Abstract: The present invention pertains to a beverage pod that has at least two separate compartments inside. One compartment holds a liquid beverage ingredient without leaking into the other compartment. It has a toroid portion to ensure that it can be pierced by a needle fixed in place as part of the brewing machine. The liquid (e.g., irish cream), is kept apart from the dry ingredient (e.g., ground coffee) in the other compartment until a brewing process is initiated. During the brewing process, these ingredients can be combined with hot or cold water to produce a uniquely flavored beverage for human consumption.

Abstract: The present invention pertains to a beverage pod for use in a brewing machine. The beverage pod has a pressurized dairy product canister housed within it. It also contains ground coffee. During the brewing process, hot water is injected into the beverage pod to brew the coffee. At the same time, the canister is triggered to release the pressurized dairy product, thereby creating whipping cream. The coffee and whipping cream flow out of the beverage pod and brewing machine, thereby dispensing a convenient, affordable, delicious cup of cappuccino, latte, or mocha.

Abstract: Techniques and mechanisms are disclosed that enable a data collection system to adaptively control collection of data from one or more external data sources. At a high level, adaptively controlling collection of data from external data sources may include collecting performance information related to one or more data collection nodes and, in response to analyzing the collected performance information, adapting rates at which the data collection nodes send data collection requests to external data sources. Data collection performance information generally may include, but is not limited to, network traffic data, error messages generated by external data sources and/or data collection nodes, computing device performance information, and any other types of information related to a data collection node's ability to collect data from external data sources.