Abstract: Techniques for improving performance in a video conferencing system by using an automated testing system are described herein. The testing system can receive a request, from a user, for a meeting bot to participate in a video conference being hosted by a video conferencing system. The meeting bot. The system can select a first meeting bot from a plurality of meeting bots. Additionally, the system can grant access control of the first meeting bot to the user. Moreover, the system can obtain, from the first meeting bot, metrics data of the first meeting bot that is associated with performance of the video conference. Furthermore, the system can calculate a performance value based on the metrics data of the first meeting bot. Subsequently, the system can perform a task based on the performance value.

Abstract: Techniques for improving performance in a video conferencing system by using an automated testing system are described herein. The testing system can receive a request, from a user, for a meeting bot to participate in a video conference being hosted by a video conferencing system. The meeting bot. The system can select a first meeting bot from a plurality of meeting bots. Additionally, the system can grant access control of the first meeting bot to the user. Moreover, the system can obtain, from the first meeting bot, metrics data of the first meeting bot that is associated with performance of the video conference. Furthermore, the system can calculate a performance value based on the metrics data of the first meeting bot. Subsequently, the system can perform a task based on the performance value.

Abstract: Techniques for improving performance in a video conferencing system by using an automated testing system are described herein. The testing system can receive a request, from a user, for a meeting bot to participate in a video conference being hosted by a video conferencing system. The meeting bot. The system can select a first meeting bot from a plurality of meeting bots. Additionally, the system can grant access control of the first meeting bot to the user. Moreover, the system can obtain, from the first meeting bot, metrics data of the first meeting bot that is associated with performance of the video conference. Furthermore, the system can calculate a performance value based on the metrics data of the first meeting bot. Subsequently, the system can perform a task based on the performance value.

Abstract: A database system stores data as hypertables that represent partitioned database tables. Each hypertable comprises chunks of data that may be distributed across multiple locations, each location comprising at least a storage device. The database system provides an interface that allows database queries seamlessly to hypertables as well as standard tables. The database system dynamically creates chunks as records are added to a hypertable. The database system defines a new partitioning strategy if the storage configuration of the database system is changed by adding new locations or removing existing locations. The records added to the hypertable before the storage configuration was changed continue to be stored as chunks distributed according to the previous partitioning policy.

Abstract: A database system stores data as hypertables that represent partitioned database tables. Each hypertable comprises chunks of data that may be distributed across multiple locations, each location comprising at least a storage device. The database system provides an interface that allows database queries seamlessly to hypertables as well as standard tables. The database system dynamically creates chunks as records are added to a hypertable. The database system defines a new partitioning strategy if the storage configuration of the database system is changed by adding new locations or removing existing locations. The records added to the hypertable before the storage configuration was changed continue to be stored as chunks distributed according to the previous partitioning policy.

Abstract: A database system stores data as hypertables that represent partitioned database tables. Each hypertable comprises chunks of data that may be distributed across multiple locations, each location comprising at least a storage device. The database system provides an interface that allows database queries seamlessly to hypertables as well as standard tables. The database system dynamically creates chunks as records are added to a hypertable. The database system defines a new partitioning strategy if the storage configuration of the database system is changed by adding new locations or removing existing locations. The records added to the hypertable before the storage configuration was changed continue to be stored as chunks distributed according to the previous partitioning policy.

Abstract: A database system stores data as hypertables that represent partitioned database tables. Each hypertable comprises chunks of data that may be distributed across multiple locations, each location comprising at least a storage device. The database system provides an interface that allows database queries seamlessly to hypertables as well as standard tables. The database system dynamically creates chunks as records are added to a hypertable. The database system defines a new partitioning strategy if the storage configuration of the database system is changed by adding new locations or removing existing locations. The records added to the hypertable before the storage configuration was changed continue to be stored as chunks distributed according to the previous partitioning policy.