tech days AMBIENT INTELLIGENCE

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1 tech days 2015 AMBIENT INTELLIGENCE techdays.microsoft.fr

2 select * from techdays2015.speaker_principals Nadia BEN EL KADI SQL Server Team Microsoft France Blog : Christophe LAPORTE Consultant Formateur Indépendant Blog christophe_laporte@hotmail.fr

3 Agenda SQL Server & la virtualisation Introduction Why virtualizing Advantages of virtualization Demo / Deployement Virtualization Support rules & Best Practices Virtualization HA scenarios Troubleshooting & Monitoring & Good to know Case Study Virtualization & cloud : A sample usage scenario Conclusion

4 Introduction Consolidation Standardize to fewer hardware Reduce space, power Improve Hardware Utilization Improve Management Efficiency Lowered cost and complexity Virtual Machines Instances Databases Sales_1 Marketing_1 Online_Sales ERP_10 ERP_10 Consolidate_1 DB_1 DB_2 DB_3

5 Pourquoi virtualiser? Historiquement Consolidation Maintenance de matériel obsolète Peu adapté à de lourdes charges de travail (OLTP / DWH) Actuellement Le matériel à évolué CPU / RAM / Réseau (10Gb, RDMA) Disques (SAN Full Flash / SSD, Cartes Flash) Les hyperviseurs ont aussi évolué Gestion des ressources Performance Les serveurs bases de données peuvent être candidat à la virtualisation

6 Avantages de la virtualisation Faible adhérence au matériel Migrations facilitées Mise à jour hyperviseur Flexibilité Modification (à chaud) de la configuration d une VM Redimensionnement à chaud des VHDX Limitation de la bande passant disque si nécessaire Affectation de ressources à l instant T et non pas en fonction de la durée de vie du projet Nombre de CPU Mémoire Dépannage Clonage à chaud (ou export depuis un checkpoint) d une VM

7 SQL Server virtualization

8 SQL Server support for virtualization

9 SQL Server

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11 HOST Better when the host supports SLAT (Second Level Address Translation) and NUMA (Non-Uniform Memory Access) Most modern servers provide these features Take Care of the overcommitting : (VP:LP) ratio Antivirus (extensions VHD/VHDX/AVHD/AVHDX) Let enough Memory for the HOST for the VMs management Monitor Memory usage to prevent performance issues

12 Guest VM Maximizing GUEST CPU Identify and categorize virtual machines based on their loads and allocate #Vcpu processors accordingly. Maximizing GUEST Memory Allocate a reasonable amount of memory to the virtual machines running SQL Server workloads so that they can handle the expected loads (at peak and off-peak times) If using Dynamic memory to provide better stability to a virtual machine workload, grant Lock Pages in Memory user rights to the SQL Server service account.

13 Storage Pass-through Disk VHD (Virtual Hard Disk) Fixed Size VHD : Best performance Dynamic VHD : Expand on demand Hyper-V 2012 has the new VHDX format Hyper-V 2012 has Virtual Fiber Channel to connect directly to FC storage from within a virtual machine.

14 Time (minutes) Reduce IO with Instant File Initialization 60 Impact of Instant File Initialization Create 100 GB database Without Instant File Initialization Restore 100 GB database With Instant File Initialization

15 Time (ms) Reads Throughput (Business Transactions/sec) Reduce IO with Data Compression Query Performance with Data Compression OLTP Throughput NONE CPU Time Logical Reads PAGE Elapsed Time Physical Reads (+RA) NONE Throughput PAGE

16 Whitepapers D7714C9CB1AB/Best_Practices_for_Virtualizing_and_Managing_SQL_Server_2012.pdf

17 Transactions/Sec Comparison : Physical vs Virtual Enterprise Strategy Group (ESG) Tested the difference in performance between the brokerage application running in a Hyper-V VM & a native physical server Increased Scale & Performance The 2 tests showed just a 6% difference between the brokerage application running on physical vs. virtual Download Full Report The full report is available for public download here Hyper-V OLTP Workload Analysis 0 Physical Virtual

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19 Points d attention Diagnostic Niveau 1 : hyperviseur (CPU, disque, mémoire) Est-ce que le Host est chargé Quelle sont les limites du Host Hyper-V Processor Counters : best way to get true measure of CPU utilization Hyper-V Logical Processor: Total CPU time across entire server Hyper-V Virtual Processor: CPU time for each guest virtual processor Niveau 2 : Guest OS (CPU, disque, mémoire) Est-ce que le Guest est chargé (OS) Est-ce que SQL Server est chargé Compteurs de performance système / SQL Server DMVs / DMFs Pensez à ne pas surexploiter le host Pas de surexploitation de la mémoire Nombre de vcœurs vs nombre de cœurs pnuma vs vnuma Stratégie de sauvegarde

20 Troubleshooting Common VM Issues Issue KPIs To Monitor Actions to Consider CPU at or near 80% Near I/O capacity limits or IO Latency Increases Memory resource pressure % Processor Time (_Total) SOS_SCHEDULER_YIELD waits Average disk reads per second Average disk writes per second Disk reads per second Disk writes per second io_virtual_file_stats PAGEIOLATCH waits SQL Server: Buffer Manager\Page Life Expectancy Memory: Available Bytes Memory: Pages per second SQL Server: Buffer Manager\Page Life Expectancy Process: Working Set (for SQL Server) RESOURCE_SEMAPHORE waits Increase instance size Identify top consuming queries and tune Load balance (e.g. move DB to another instance) Check Page Life Expectancy counter, for mem pressure. Increase instance size Identify which DB and log files have I/O bottleneck Add more data disks and separate data files if near IOPS limits per disk Tune queries to reduce reads and writes Consider enabling row or page compression Check max server memory setting for SQL Server. Use high memory instance Identify SQL component (such as, CLR, high memory grants for app queries, et.), tune appropriately.

21 Characteristics of a cloud Shared Infrastruct ure Self Service Scalable and Elastic Usage Based

22 Exemple : Catalogue de services Self Service provisioning

23 Conclusion Read the white papers Control/discover your DB sprawl Run MAP toolkit to identify running DBs Capacity Planning Understand Isolation/security/HA requirements Plan and test for IO perf variability Identify optimal VM size Use Filegroups and multiple data disks for large DBs Begin conversion (virtualize) Use P2V to keep existing settings Create new VM to combine multiple apps Identify your KPIs to monitor Revisit optimization decisions as workload changes

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