Abstract: Various examples are directed to systems and methods for managing resources in a multi-core computing system. A first thread executing at a first core of a multi-core processor unit may allocate a first element of a resource. The first thread may increment a first thread counter for a first metric describing the resource. The first thread may determine that the first thread counter is greater than a first thread counter threshold and update a first metric global value based at least in part on the first thread counter. The first thread may also reset the first thread counter.

Abstract: Various examples are directed to systems and methods for managing resources in a multi-core computing system. A first thread executing at a first core of a multi-core processor unit may allocate a first element of a resource. The first thread may increment a first thread counter for a first metric describing the resource. The first thread may determine that the first thread counter is greater than a first thread counter threshold and update a first metric global value based at least in part on the first thread counter. The first thread may also reset the first thread counter.

Abstract: Disclosed herein are system, method, and computer program product embodiments for adaptively self-tuning a bucket memory manager. An embodiment operates by receiving requests for memory blocks of varying memory sizes from a client. Determining a workload for the client based on the requests. Analyzing buckets in the bucket memory manager based on the workload. Adjusting parameters associated with the bucket memory manager based on the analyzing to accommodate the requests.

Abstract: Disclosed herein are system, method, and computer program product embodiments for adaptively self-tuning a bucket memory manager. An embodiment operates by receiving requests for memory blocks of varying memory sizes from a client. Determining a workload for the client based on the requests. Analyzing buckets in the bucket memory manager based on the workload. Adjusting parameters associated with the bucket memory manager based on the analyzing to accommodate the requests.

Abstract: Disclosed herein are system, method, and computer program product embodiments for adaptively self-tuning a bucket memory manager. An embodiment operates by receiving requests for memory blocks of varying memory sizes from a client. Determining a workload for the client based on the requests. Analyzing buckets in the bucket memory manager based on the workload. Adjusting parameters associated with the bucket memory manager based on the analyzing to accommodate the requests.

Abstract: Disclosed herein are system, method, and computer program product embodiments for adaptively self-tuning a bucket memory manager. An embodiment operates by receiving requests for memory blocks of varying memory sizes from a client. Determining a workload for the client based on the requests. Analyzing buckets in the bucket memory manager based on the workload. Adjusting parameters associated with the bucket memory manager based on the analyzing to accommodate the requests.

Abstract: Seamless failover in a database replication environment which has a primary database server and a plurality of standby database servers, is described. An example method includes orderly terminating transactions on the primary database server, where the transactions are originated from client applications. The transaction logs of the primary database server are drained and the transaction logs are replicated from the primary database server to the plurality of standby database servers. One of the standby database servers is designated as a new primary database server processing user transactions.

Abstract: Seamless failover in a database replication environment which has a primary database server and a plurality of standby database servers, is described. An example method includes orderly terminating transactions on the primary database server, where the transactions are originated from client applications. The transaction logs of the primary database server are drained and the transaction logs are replicated from the primary database server to the plurality of standby database servers. One of the standby database servers is designated as a new primary database server processing user transactions.