Abstract: Embodiments presented herein describe techniques for performing a rolling upgrade to a distributed runtime environment that includes a cluster of computing systems. A first of a plurality of computing nodes executing a first version of a runtime environment determines a second version of the runtime environment via a registry. Upon determining that the second version is a more recent version, the first computing node retrieves an install package for the second version from a second one of the computing nodes. The first computing node installs the second version using the install package.

Abstract: Embodiments presented herein describe techniques for performing a rolling upgrade to a distributed runtime environment that includes a cluster of computing systems. A first of a plurality of computing nodes executing a first version of a runtime environment determines a second version of the runtime environment via a registry. Upon determining that the second version is a more recent version, the first computing node retrieves an install package for the second version from a second one of the computing nodes. The first computing node installs the second version using the install package.

Abstract: Embodiments presented herein describe techniques for performing a rolling upgrade to a distributed runtime environment that includes a cluster of computing systems. A first of a plurality of computing nodes executing a first version of a runtime environment determines a second version of the runtime environment via a registry. Upon determining that the second version is a more recent version, the first computing node retrieves an install package for the second version from a second one of the computing nodes. The first computing node installs the second version using the install package.

Abstract: Embodiments presented herein describe techniques for performing a rolling upgrade to a distributed runtime environment that includes a cluster of computing systems. A first of a plurality of computing nodes executing a first version of a runtime environment determines a second version of the runtime environment via a registry. Upon determining that the second version is a more recent version, the first computing node retrieves an install package for the second version from a second one of the computing nodes. The first computing node installs the second version using the install package.

Abstract: Method, system, and computer program product for transferring data from transactional data sources to partitioned databases are provided. One or more messages from a transactional data source are read. Each message includes one or more records to be inserted into a database comprising a plurality of partitions. One of the partitions of the database in which the one or more records of each message are to be inserted is then identified. A transaction is initiated to insert the one or more records of each message into the one partition and to delete the one or more messages from the transactional data source. The transaction is committed only when insertion of the one or more records of each message into the one partition and deletion of the one or more messages from the transactional data source succeed.

Abstract: Fault tolerance is provided in a distributed system. The complexity of replicas and rollback requests are avoided; instead, a local failure in a component of a distributed system is tolerated. The local failure is tolerated by storing state related to a requested operation on the component, persisting that stored state in a data store, such as a relational database, asynchronously processing the operation request, and if a failure occurs, restarting the component using the stored state from the data store.

Abstract: Fault tolerance is provided in a distributed system. The complexity of replicas and rollback requests are avoided; instead, a local failure in a component of a distributed system is tolerated. The local failure is tolerated by storing state related to a requested operation on the component, persisting that stored state in a data store, such as a relational database, asynchronously processing the operation request, and if a failure occurs, restarting the component using the stored state from the data store.