1. Dr Greg Low CEO and Principal Mentor SQL Down Under

4. In Azure or on-premises, app design is critical!

5. CPU and memory issues are largely unchanged on Azure VMs

6. Buffer Cache

7. MetricRequirements Mix of reads vs writesMostly reads Nature of writesMostly asynchronous Average rows per I/OLow I/O size8 to 64 KB common I/O patternMostly random Concurrent usersHigh

8. MetricRequirements Mix of reads vs writesMostly reads Nature of writesMostly asynchronous Average rows per I/OHigh (often large scans) I/O sizeUp to megabytes I/O patternMostly sequential Concurrent usersLow

9. Buffer Cache

10. MetricRequirements Mix of reads vs writesMostly writes Nature of writesMostly synchronous (low latency critical) Average rows per I/OLow I/O size8 to 64 KB common I/O patternMostly sequential

12. … Datacenter network … Datacenter 1 Datacenter n Region 1 Region 2 …

14. Virtual Machine Size CPU CoresMemory Allocated Bandwidth (Mbps) Maximum data disks (each up to 1 TB) Maximum IOPS ExtraSmallShared768 MB511 x 500 Small11.75 GB10022 x 500 Medium23.5 GB20044 x 500 Large47 GB40088 x 500 ExtraLarge814 GB8001616 x 500 A6428 GB1,00088 x 500 A7856 GB2,0001616 x 500

15. Virtual Machine C:\ OS Disk E:\, F:\, etc. Data Disks D:\ Temp Disk (Dynamic VHD) RAM Cache Local Disk Cache Blobs Blob

16. Virtual Machine C:\ OS Disk E:\, F:\, etc. Data Disks D:\ Temp Disk (Dynamic VHD) RAM Cache Local Disk Cache Blobs Blob

17. Virtual Machine C:\ OS Disk E:\, F:\, etc. Data Disks D:\ Temp Disk (Dynamic VHD) RAM Cache Local Disk Cache Blobs Blob

18. Virtual Machine C:\ OS Disk E:\, F:\, etc. Data Disks D:\ Temp Disk (Dynamic VHD) RAM Cache Local Disk Cache Blobs Blob

19. Storage Stamp Stream Layer Partition Layer Front-ends LB Intra-stamp replication Stream Layer Partition Layer Front-ends LB Intra-stamp replication Storage Stamp Geo-replication Storage Location Service

20. Cache size based on VM size

24. Disk typeRead OnlyRead WriteNone (disabled) OS diskSupportedDefaultNot supported Data disksSupported (up to 4) Default Temporary diskN/A

27. Random I/O (8KB Pages) Sequential I/O (64KB Extents) Sequential I/O (256KB Blocks) ReadsWritesReadsWritesReadsWrites IOPS500 300 Bandwidth4 MB/s 30 MB/s20 MB/s70 MB/s

29. 4 disksRandom I/O (8KB Pages)Sequential I/O (64KB Extents)Sequential I/O (256KB Blocks) ReadsWritesReadsWritesReadsWrites IOPS2000 13007001100 Bandwidth20 MB/s 120 MB/s80 MB/s170 MB/s270 MB/s 16 disksRandom I/O (8KB Pages)Sequential I/O (64KB Extents)Sequential I/O (256KB Blocks) ReadsWritesReadsWritesReadsWrites IOPS8000 250050007002400 Bandwidth60 MB/s 150 MB/s300 MB/s170 MB/s600 MB/s 8 disksRandom I/O (8KB Pages)Sequential I/O (64KB Extents)Sequential I/O (256KB Blocks) ReadsWritesReadsWritesReadsWrites IOPS4000 250026007002200 Bandwidth30 MB/s 150 MB/s160 MB/s170 MB/s550 MB/s

35. Test random 8K reads/writes sqlio -kW -s300 -frandom -o32 -b8 -LS -Fparam.txt sqlio -kR -s300 -frandom -o32 -b8 -LS -Fparam.txt

36. TargetDMV Instance level waitssys.dm_os_wait_stats Expensive queriessys.dm_exec_query_stats I/O consumption and characteristics sys.dm_io_virtual_file_stats Executing requestssys.dm_exec_requests Memory object contentionsys.dm_os_spinlock_stats

37. Logical Disk Counter Metric Details Disk reads / second Disk writes / second IOPs Number of I/O operations per second Consider adding more data disks in line with your IOPS requirements. Average disk sec / read Average disk sec / write Latency Time taken per I/O operation Variation is common but look at averages over time Average disk bytes / read Average disk bytes / write Block size Average size of I/O operations Larger I/O operations tend to have higher latency (very common in BACKUP/RESTORE) Average / current disk queue length Outstanding IOPS Not very relevant for Azure VM Disk read bytes/sec Disk write bytes/sec Throughput Total volume of data Larger block scans should be able to heavily utilize connection bandwidth

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46. http://msdn.microsoft.com/en-au/ http://www.microsoftvirtualacademy.com/ http://channel9.msdn.com/Events/TechEd/Australia/2013 http://technet.microsoft.com/en-au/