Abstract: The described technology is directed towards presenting a server overload condition that can result from a spike in client requests. Upon receiving an incoming client request for data at a server, a request buffer condition of a client request buffer (e.g., a counter) is evaluated to determine whether the client request corresponds to an anticipated overload state with respect to a request-handling capability of the server, e.g., whether the client request buffer is full. If so, an overload response (e.g., a retry response) is returned to the client indicating so that the client retries a corresponding client request after a time delay. If not in the anticipated overload state, the request is further processed, e.g., to provide a regular response containing the requested data, such as by adding a request information entry associated with the incoming client request to the client request buffer and updating the request buffer condition.

Abstract: A package and method of manufacturing is disclosed. In one example, the package which comprises a carrier with at least one component mounted on the carrier. A clip is arranged above the carrier and having a through hole. At least part of at least one of the at least one component and/or at least part of an electrically conductive connection element electrically connecting the at least one component is at least partially positioned inside the through hole.

Abstract: An electrical interconnect structure includes a bond pad having a substantially planar bonding surface, and a solder enhancing structure that is disposed on the bonding surface and includes a plurality of raised spokes that are each elevated from the bonding surface. Each of the raised spokes has a lower wettability relative to a liquefied solder material than the bonding surface. Each of the raised spokes extend radially outward from a center of the solder enhancing structure.

Abstract: The described technology is directed towards presenting a server overload condition that can result from a spike in client requests. Upon receiving an incoming client request for data at a server, a request buffer condition of a client request buffer (e.g., a counter) is evaluated to determine whether the client request corresponds to an anticipated overload state with respect to a request-handling capability of the server, e.g., whether the client request buffer is full. If so, an overload response (e.g., a retry response) is returned to the client indicating so that the client retries a corresponding client request after a time delay. If not in the anticipated overload state, the request is further processed, e.g., to provide a regular response containing the requested data, such as by adding a request information entry associated with the incoming client request to the client request buffer and updating the request buffer condition.

Abstract: The described technology is directed towards presenting a server overload condition that can result from a spike in client requests. Upon receiving an incoming client request for data at a server, a request buffer condition of a client request buffer (e.g., a counter) is evaluated to determine whether the client request corresponds to an anticipated overload state with respect to a request-handling capability of the server, e.g., whether the client request buffer is full. If so, an overload response (e.g., a retry response) is returned to the client indicating so that the client retries a corresponding client request after a time delay. If not in the anticipated overload state, the request is further processed, e.g., to provide a regular response containing the requested data, such as by adding a request information entry associated with the incoming client request to the client request buffer and updating the request buffer condition.

Abstract: The described technology is directed towards a cache framework that accesses a tier of ordered caches, in tier order, to satisfy requests for data. The cache framework may be implemented at a front-end service level server, and/or a back end service level server, or both. The cache framework handles read-through and write-through operations, including handling batch requests for multiple data items. The cache framework also facilitates dynamically changing the tier structure, e.g., for adding, removing, replacing and/or reordering caches in the tier, e.g., by re-declaring a data structure such as an array that identifies the tiered cache configuration.

Abstract: An electrical interconnect structure includes a bond pad having a substantially planar bonding surface, and a solder enhancing structure that is disposed on the bonding surface and includes a plurality of raised spokes that are each elevated from the bonding surface. Each of the raised spokes has a lower wettability relative to a liquefied solder material than the bonding surface. Each of the raised spokes extend radially outward from a center of the solder enhancing structure.

Abstract: The described technology is directed towards maintaining a cache of data items, with cached data items having current value subsets and next value subsets. The cache is accessed for data item requests, to return a cache miss if a requested data item is not cached, to return data from the current value subset if not expired, to return data from the next value subset if the current value subset is expired and the next value subset is not expired, or to return a cache miss (or expired data) if both subsets are expired. Cached data items are refreshed, (e.g., periodically), when a data item's current value subset is expired by replacing the data item's current value subset with the next value subset and caching a new next value subset, or caching a new next value subset when the next value subset will expire within a threshold time.

Abstract: The described technology is directed towards maintaining a cache of data items, with cached data items having current value subsets and next value subsets. The cache is accessed for data item requests, to return a cache miss if a requested data item is not cached, to return data from the current value subset if not expired, to return data from the next value subset if the current value subset is expired and the next value subset is not expired, or to return a cache miss (or expired data) if both subsets are expired. Cached data items are refreshed, (e.g., periodically), when a data item's current value subset is expired by replacing the data item's current value subset with the next value subset and caching a new next value subset, or caching a new next value subset when the next value subset will expire within a threshold time.

Abstract: The described technology is directed towards maintaining a cache of data items, with cached data items having current value subsets and next value subsets. The cache is accessed for data item requests, to return a cache miss if a requested data item is not cached, to return data from the current value subset if not expired, to return data from the next value subset if the current value subset is expired and the next value subset is not expired, or to return a cache miss (or expired data) if both subsets are expired. Cached data items are refreshed, (e.g., periodically), when a data item's current value subset is expired by replacing the data item's current value subset with the next value subset and caching a new next value subset, or caching a new next value subset when the next value subset will expire within a threshold time.

Abstract: The described technology is directed towards presenting a server overload condition that can result from a spike in client requests. Upon receiving an incoming client request for data at a server, a request buffer condition of a client request buffer (e.g., a counter) is evaluated to determine whether the client request corresponds to an anticipated overload state with respect to a request-handling capability of the server, e.g., whether the client request buffer is full. If so, an overload response (e.g., a retry response) is returned to the client indicating so that the client retries a corresponding client request after a time delay. If not in the anticipated overload state, the request is further processed, e.g., to provide a regular response containing the requested data, such as by adding a request information entry associated with the incoming client request to the client request buffer and updating the request buffer condition.

Abstract: The described technology is directed towards a cache framework that accesses a tier of ordered caches, in tier order, to satisfy requests for data. The cache framework may be implemented at a front-end service level server, and/or a back end service level server, or both. The cache framework handles read-through and write-through operations, including handling batch requests for multiple data items. The cache framework also facilitates dynamically changing the tier structure, e.g., for adding, removing, replacing and/or reordering caches in the tier, e.g., by re-declaring a data structure such as an array that identifies the tiered cache configuration.

Abstract: The described technology is directed towards a cache framework that accesses a tier of ordered caches, in tier order, to satisfy requests for data. The cache framework may be implemented at a front-end service level server, and/or a back end service level server, or both. The cache framework handles read-through and write-through operations, including handling batch requests for multiple data items. The cache framework also facilitates dynamically changing the tier structure, e.g., for adding, removing, replacing and/or reordering caches in the tier, e.g., by re-declaring a data structure such as an array that identifies the tiered cache configuration.

Abstract: The described technology is directed towards maintaining a cache of data items, with cached data items having current value subsets and next value subsets. The cache is accessed for data item requests, to return a cache miss if a requested data item is not cached, to return data from the current value subset if not expired, to return data from the next value subset if the current value subset is expired and the next value subset is not expired, or to return a cache miss (or expired data) if both subsets are expired. Cached data items are refreshed, (e.g., periodically), when a data item's current value subset is expired by replacing the data item's current value subset with the next value subset and caching a new next value subset, or caching a new next value subset when the next value subset will expire within a threshold time.

Abstract: The described technology is directed towards a cache framework that accesses a tier of ordered caches, in tier order, to satisfy requests for data. The cache framework may be implemented at a front-end service level server, and/or a back end service level server, or both. The cache framework handles read-through and write-through operations, including handling batch requests for multiple data items. The cache framework also facilitates dynamically changing the tier structure, e.g., for adding, removing, replacing and/or reordering caches in the tier, e.g., by re-declaring a data structure such as an array that identifies the tiered cache configuration.