SQL Server is a high frequently used piece of software which need to serve single requests
and/or hundreds of thousands of requests in a minute. Within these different
kinds of workloads Microsoft SQL Server has to handle the concurrency of tasks
in a fashion manner. This demo driven session shows different scenarios where
Microsoft SQL Server has to wait and manage hundreds of tasks. See, analyze and
solve different wait stats due to their performance impact:

- CXPACKET: when a query goes parallel
- ASYNC_IO_COMPLETION: speed up IO operations (Growth / Backup / Restore)
- ASYNC_NETWORK_IO: What happens if your application refuses data?
- THREADPOOL starvation: crush of requests for Microsoft SQL Server
- PAGELATCH_xx: How Microsoft SQL Server protects data?