Abstract: A host machine operated for a specific purpose can have restricted access to other components in a multi-tenant environment in order to provide for the security of the host machine. The access restriction can prevent the host machine from obtaining updates to critical system-level configurations, but such information can be obtained through a signed command received to an API for the host machine. The command can be signed by a quorum of operators, and the host machine can be configured to verify the signatures and the quorum before processing the command. The host machine can store the updates to ephemeral storage as well as persistent storage, such that upon a reboot or power cycle the host machine can operate with current configuration data.

Abstract: A host machine operated for a specific purpose can have restricted access to other components in a multi-tenant environment in order to provide for the security of the host machine. The access restriction can prevent the host machine from obtaining updates to critical system-level configurations, but such information can be obtained through a signed command received to an API for the host machine. The command can be signed by a quorum of operators, and the host machine can be configured to verify the signatures and the quorum before processing the command. The host machine can store the updates to ephemeral storage as well as persistent storage, such that upon a reboot or power cycle the host machine can operate with current configuration data.

Abstract: A host machine operated for a specific purpose can have restricted access to other components in a multi-tenant environment in order to provide for the security of the host machine. The access restriction can prevent the host machine from obtaining updates to critical system-level configurations, but such information can be obtained through a signed command received to an API for the host machine. The command can be signed by a quorum of operators, and the host machine can be configured to verify the signatures and the quorum before processing the command. The host machine can store the updates to ephemeral storage as well as persistent storage, such that upon a reboot or power cycle the host machine can operate with current configuration data.

Abstract: Systems and methods are disclosed for a cache-sensitive index that uses fixed-size partial keys. The index may include a node comprising a child group pointer, a number of partial keys and a similar number of full-key pointers. The node may also include a record count. The nodes are organized into groups. The groups may contain a number of nodes one greater than the number of partial keys in a node and the nodes in a group may be stored contiguously in memory. The child group pointer and the number of partial keys may fit within a cache line. A method is disclosed for traversing the index, for bulk-loading the index, and for live deletion of records from the index.

Abstract: A method of logging internet requests includes defining a plurality of field types of interest and receiving a request from the internet including one or more fields. The method also includes determining that a first field type of a first field of the one or more fields matches one of the plurality of field types of interest and caching at least a portion of the first field in a cache. The method further includes determining that a second field type of a second field of the one or more fields matches one of the plurality of field types of interest caching at least a portion of the second field in the cache. The method includes transmitting the cache to a server, determining, a number of occurrences of a field value of at least one of the first field type or the second field type, and providing a report including the number of occurrences of the field value.

Abstract: Systems and methods are disclosed for a cache-sensitive index that uses fixed-size partial keys. The index may include a node comprising a child group pointer, a number of partial keys and a similar number of full-key pointers. The node may also include a record count. The nodes are organized into groups. The groups may contain a number of nodes one greater than the number of partial keys in a node and the nodes in a group may be stored contiguously in memory. The child group pointer and the number of partial keys may fit within a cache line. A method is disclosed for traversing the index, for bulk-loading the index, and for live deletion of records from the index.

Abstract: Systems and methods for verifying data in a distributed database using different automated check operations at different times during the database read and update cycles. Various functions may be performed including executing a first check during update operations of the database. A second check may also be executed during the update operation of the database, and be implemented as an execution thread of an update daemon. A third check may be executed at a time interval between update functions of the update daemon. A fourth check may be executed during a time that the database is not being updated. Integrity of data in the database may be verified by a computer processor based on the first, second, third, and fourth checks.

Abstract: Systems and methods are disclosed for a cache-sensitive index that uses fixed-size partial keys. The index may include a node comprising a child group pointer, a number of partial keys and a similar number of full-key pointers. The node may also include a record count. The nodes are organized into groups. The groups may contain a number of nodes one greater than the number of partial keys in a node and the nodes in a group may be stored contiguously in memory. The child group pointer and the number of partial keys may fit within a cache line. A method is disclosed for traversing the index, for bulk-loading the index, and for live deletion of records from the index.

Abstract: Systems and methods for verifying data in a distributed database using different automated check operations at different times during the database read and update cycles. Various functions may be performed including executing a first check during update operations of the database. A second check may also be executed during the update operation of the database, and be implemented as an execution thread of an update daemon. A third check may be executed at a time interval between update functions of the update daemon. A fourth check may be executed during a time that the database is not being updated. Integrity of data in the database may be verified by a computer processor based on the first, second, third, and fourth checks.

Abstract: Systems and methods for verifying data in a distributed database using different automated check operations at different times during the database read and update cycles. Various functions may be performed including executing a first check during update operations of the database. A second check may also be executed during the update operation of the database, and be implemented as an execution thread of an update daemon. A third check may be executed at a time interval between update functions of the update daemon. A fourth check may be executed during a time that the database is not being updated. Integrity of data in the database may be verified by a computer processor based on the first, second, third, and fourth checks.

Abstract: Systems and methods are disclosed for a cache-sensitive index that uses fixed-size partial keys. The index may include a node comprising a child group pointer, a number of partial keys and a similar number of full-key pointers. The node may also include a record count. The nodes are organized into groups. The groups may contain a number of nodes one greater than the number of partial keys in a node and the nodes in a group may be stored contiguously in memory. The child group pointer and the number of partial keys may fit within a cache line. A method is disclosed for traversing the index, for bulk-loading the index, and for live deletion of records from the index.

Abstract: Systems and methods for verifying data in a distributed database using different automated check operations at different times during the database read and update cycles. Various functions may be performed including executing a first check during update operations of the database. A second check may also be executed during the update operation of the database, and be implemented as an execution thread of an update daemon. A third check may be executed at a time interval between update functions of the update daemon. A fourth check may be executed during a time that the database is not being updated. Integrity of data in the database may be verified by a computer processor based on the first, second, third, and fourth checks.

Abstract: A method of logging internet requests includes defining a plurality of field types of interest and receiving a request from the internet including one or more fields. The method also includes determining that a first field type of a first field of the one or more fields matches one of the plurality of field types of interest and caching at least a portion of the first field in a cache. The method further includes determining that a second field type of a second field of the one or more fields matches one of the plurality of field types of interest caching at least a portion of the second field in the cache. The method includes transmitting the cache to a server, determining, a number of occurrences of a field value of at least one of the first field type or the second field type, and providing a report including the number of occurrences of the field value.