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6 Loosely coupled: asynchronous processing, decoupling of tiers/components Fan-out the application tiers to support the workload Use cache for data and content Reduce number of requests if possible Batch together storage/database operations if possible Partition Azure storage objects across multiple storage accounts if necessary Design for failure and resilience (Failsafe) Telemetry instrumentation
7 Read-only data separated from read-write data Affinitize application and database as scale unit
8 Compute Instance CPU (GHz) Memory Xsmall (A0) 1 768mb Small (A1) GB Medium (A2) 2 x GB Large (A3) 4 x 1.6 7GB Xlarge (A4) 8 x Gb A6 4 x GB A7 8 x GB
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11 Structured or un-structured data Persisted or temporary data Storage Offering Purpose Maximum Size Local Storage Windows Azure Storage Blob Per-instance temporary storage Durable storage for... Large binary objects such as video or audio Table Structured data 100TB Queue Inter-process messages 100TB SQL Database Relational Database Management System 250GB to 2TB 200GB or 1TB 150GB Where to place the data
12 System Drive (C:\) Temporary Storage (D:\) Small test databases including tempdb may be placed in C: (disable write caching) Single storage account for all data disks Attached Disks VM Size CPU Cores Memory Extra small # Data Disks * Max IOPS Shared 768 MB 1 1 x 500 Small GB 2 2 x 500 Any Medium GB 4 4 x 500 Any Large 4 7 GB 8 8 x 500 Any Extra large Virtual Machine Sizes and SQL Server Editions 8 14 GB x 500 Any A GB 8 8 x 500 Any SQL Server Edition Not recommended A GB x 500 Any (*) Each persistent data disk up to 1 TB
13 Multi-tenant resource sharing environment CPU Max possible Resources available to an individual DB 0 SQL Azure Sharding Time
14 Reservation size Processor units Concurrent active requests (workers) Sessions Data IO (IOPS) Memory (GB) L (P2) M (P1)
15 Data access to Azure SQL Database introduces additional complexity around: Microsoft Enterprise Library Transient Fault Handling Application Block
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17 Resource Worker Threads Database Size Physical Database Space Log Bytes Used Transaction Log Length Lock Count Blocking System Tasks Temp DB Space Memory Max. value per transaction/session Max. value per machine Soft throttling limit Hard throttling limit NA GB per partition NA None 100% (150 GB or upper limit for customer) NA Total space on None 90% machine 2 GB per transaction 500 GB NA NA 20% of total log space (= 100 GB) 500 GB NA NA 1 milllion per NA NA NA transaction 20 seconds NA NA NA 5 GB NA None 5 GB NA NA None 16 MB for 20 seconds
18 SQL Azure Blog Post: Testing Client Latency to SQL Azure
19 From\To (ms) North-Central US South-Central US North Europe West Europe East Asia South-East Asia North-Central US South-Central US North Europe West Europe East Asia South-East Asia
20 SELECT t.id, t. RECORD FROM Customer_MVMT t
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22 Laptop Client Azure VM App Server SQL Database DB Data Seattle Data is stored in Azure SQL Database Test Result: 240 seconds (avg) Azure US North Data Center Laptop Azure VM Azure Storage Client App Server SQL Server Memory Pool Local Disk Cache Attached Disk Seattle App Server and SQL Server are in the same box Test Result: 110 seconds (avg) Azure US North Data Center Laptop Azure VM Azure VM Azure Storage Client App Server SQL Server Memory Pool Local Disk Cache Attached Disk Seattle Azure US North Data Center AppServer and DB Server are in two separate VMs Test Result: 150 seconds (avg)
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25 - - -
26 Client Component Client Component
27 Client Component
28 Client Component Transaction Management
29 50 Client Component (50) (URI/50) 25 (URI/25)
30 Application Services Provisioning Application Services Provisioning SQL Data Sync WAS WAS BLOB Geo-Replication BLOB BLOB BLOB
31 Management Portal Monitoring Application WAS BLOB BLOB BLOB Provisioning Service Queue 1 Queue 2 Queue 3 Worker Role Worker Role Worker Role Worker Role Worker Role Provisioning Repository
32 Windows Azure Suitable Migration Scenarios Things to watch for Compute Virtual machines Better compatibility with on-prem environment Easy and fast migration path for existing apps minimal/zero code changes Data Services Websites/Cloud Service PaaS services, users only need to focus on coding for business logic Auto-scale feature support Suitable for brand new apps from scratch Websites with clean codes (no native dll, no special IIS configuration) SQL database Database PaaS service. Users don t need to setup/maintain their own DB server. Built-in HA Competitive pricing Leveraging existing tools (SSMS, etc) for DBA and developers Blob Highly scalable storage for files We can also use Azure drive to attach disks to VM Networks Virtual network Compatible VPN devices already in use On-prem network matches the requirements Users still responsible for OS level maintenance (e.g. patching, config, etc) Limited out-of-the-box auto-scale feature support Code review is recommended. (e.g. sticky session solution 1, solution 2) Requires some code changes to existing apps Some learning curve for new users to adopt the SDKs Applications are bound to Windows Azure platform Size limitation (150GB max) Not 100% compatible with SQL Server, might require some DB/code changes Need to evaluate customer s performance requirements on DB Need to leverage Azure SDK or web service API to access blob storage Each VM can have maximum 16 disks attached (1TB max for each disk) At least one server with public IP not behind NAT Ports for IKEv2 on the gateway server should be opened.
33 Q&A
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35 ios (version 6 or below): Please input the below URL: Other platform: QR Code:
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