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Ähnlich wie Azure SQL Managed Instance - SqlBits 2019
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Azure SQL Managed Instance - SqlBits 2019
- 1. Azure SQL Managed Instance Deep dive Jovan Popovic Program Manager, Azure Data
- 4. We take care of your database chores Your work so far How SQL Database helps Hardware purchasing and management Built-in scale on-demand Protect data with backups (with health checks and retention) Built-in point-in-time restore High availability implementation Built-in 99.99% SLA and auto-failover Disaster recovery implementation Built-in geo-redundancy and geo- replication Ensure compliance with standards on your own Built-in easy to use features Secure your data from malicious users and mistakes Built-in easy to use features Role out updates and upgrades Built-in updates and upgrades Monitor, troubleshoot, and manage at scale Built-in easy to use features Tune and maintain for predictable performance Built-in easy to use features
- 5. Managed by MicrosoftManaged by customer On-premises Datacenter Management Hardware O/S provision /patching Database Provision/ Patch/Scaling Virtualization Data Applications High availability /DR/Backups SQL Server 2017/2019 Infrastructure (as a Service) Datacenter Management Hardware Virtualization O/S Database Provision/ Patch/Scaling Data Applications High availability /DR/Backups Azure SQL VMs Platform (as a Service) Data Applications Datacenter Management Hardware Virtualization O/S Database Provision/ Patch/Scaling High Availability/ DR/Backups Azure SQL Database (Managed Instance, Single DB) On-premise costs tends to be driven by hardware and data center management costs Infrastructure-as-a-Service reduces cost categories related to data center and compute Platform-as-a-Service off-loads customers’ most administrative tasks to Azure, further improving efficiency with machine-learning capabilities for performance and security • Managed Instance: instance-level deployment for lift-shift existing apps to Azure, fully backward compatible • Single database: database-level deployment for new apps Intelligent performance/security Machine-learning capability
- 6. • • License included Reserved capacity Up to 33% savingsMonthly cost of Managed Instance Reserved capacity + Azure Hybrid Benefit Up to 80% savings1
- 7. OR General Purpose Enterprise Edition 1:4 ratio Business Critical Enterprise Edition 1:1 ratio General Purpose Standard Edition 1:1 ratio Exclusive on Azure Every EE core can be traded for 4 General Purpose cores in the cloud!
- 8. Azure SQL Database Database-scoped deployment option with predictable workload performance Shared resource model optimized for greater efficiency of multi- tenant applications Best for apps that require resource guarantee at database level Best for SaaS apps with multiple databases that can share resources at database level, achieving better cost efficiency Best for modernization at scale with low friction and effort Elastic PoolSingle Managed Instance Instance-scoped deployment option with high compatibility with SQL Server and full PaaS benefits
- 9. Cloud migration requires some changes. There are dependencies on the existing features. SQL Agent? RESTORE? CLR? • Fully-fledged SQL instance with nearly 100% compatibility with on-prem SQL Server • High availability • Backups • All PaaS features • Native VNET implementation • Private IP addresses • Competitive • Transparent • Frictionless Lift & shift Fully managed Isolation Business model
- 12. Virtual cluster VNet Azure VM TDS endpoint (Private IP) SQL Server DB Engine Management Agent LB ILB GW GW GW mymi.<clusterid>.database.windows.net TLS TLS TLS Windows Firewall SQL Management (Public IP) VM VM SQL Management (public IP) TDS endpoint (private IP) SQL
- 18. Service tiers General Purpose Business Critical HyperScale (future)
- 19. General Purpose Generic workloads Business Critical Low-latency workloads Fast recovery Free read-only replica Hyper Scale VLDB (~100TB) OLTP workloads Read-only replicas
- 20. Common features Feature Description Number of vCores* 8, 16, 24 (Gen 4) 8, 16, 24, 32, 40, 64, 80 (Gen 5) SQL Server version / build SQL Server (latest available) RAM 7 GB per vCore (Gen4) 5.1GB per vCore (Gen5) Max storage size 1, 2, 4, 8 TB Max storage per database Determined by the max storage size per instance Number of data files (ROWS) per the database Multiple Number of log files (LOG) per database 1 Managed automated backups Yes SLA 99.99% High-availability Yes Point-in-time restore Yes Built-in instance and database monitoring and metrics Yes Automatic software patching Yes Vnet Yes (Azure Resource Manager deployment only)
- 21. General Purpose Feature Description Min storage size 32 GB Max storage size 8 TB Max storage per database Determined by the max storage size per instance Expected storage IOPS 500-7500 IOPS per data file (depends on data file). See Premium Storage Expected storage latency 5-10 ms Managed automated backups Yes (Full, Differential, Log) High Availability 99.99% - Based on remote storage and Azure Service Fabric Max database files 280 In-memory OLTP No Read-replica No(only with GeoReplication) TempDB 24GB/vCore
- 22. Premium Storage Disk size 128 GiB 256 GiB 512 GB 1 TiB 2 TB IOPS per disk 500 1100 2300 5000 7500 Throughput per disk 100 MiB/sec 125 MiB/sec 150 MiB/sec 200 MiB/sec 250 MiB/sec Share-nothing files placed on Azure Premium disks Replicated premium storage Performance depend on size TempDB on local SSD
- 23. General guidelines Short transactions Batch updates Table/index partitioning Potentially higher RTO (Preview) Accelerated database recovery
- 24. Business Critical Feature Description Number of vCores* 8, 16, 24, 32 (Gen 4) 8, 16, 24, 32, 40, 64, 80 (Gen 5) Additional features In-Memory OLTP 1 additional read-only replica (Read Scale-Out) Min storage size 32 GB Max storage size •Gen 4: 1 TB (all vCore sizes Gen 5:1 TB for 8, 16 vCores •2 TB for 24 vCores •4 TB for 32, 40, 64, 80 vCores Max TempDB size Determined by the max storage size per instance Number of data files Unlimited Number of log files (LOG) per database 1 Managed automated backups Yes (Full, Incremental, Log) HA Based on Always On Availability Groups and Azure Service Fabric Expected write latency < 3ms Recovery Fast (failover to secondary) Business Critical service tier: collocated compute and storage Always On AG SQL SQL SQL SQL Super-fast SSD Secondary replica Primary replica Secondary replicaSecondary replica
- 25. Transaction processing Business Critical service tier: collocated compute and storage Always On AG SQL SQL SQL SQL Super-fast SSD Secondary replica Primary replica Secondary replicaSecondary replica Primary node is updated Log record sent to all secondaries 2 of 3 nodes must acknowledge Update is confirmed All secondaries apply log record Avg. latency < 3ms
- 26. Data PagesData Pages File Snapshots File Snapshots File Snapshots Log Cache Log Service Data PagesData Pages SQL SQL SQL
- 27. Migration to Managed Instance DMA, RESTORE, DMS
- 29. Instance subnet SQL Instance #1 storage account RESTORE 12 BACKUP TO AZURE SQL Server on VM/on-prem Restore Service 3 MANAGED RESTORE
- 30. Subnet used for MI Subnet used for DMS On-Premise Cloud network SQL DB Managed Instance Azure Blob Storage SMB Network Share Provide Tail-Log backup, initiate cutover in DMS and change the application connection strings
- 31. Install-Module dbatools Copy-DbaSysDbUserObject -Source $src -Destination $dest Copy-DbaDbMail -Source $src -Destination $dest Copy-DbaAgentOperator -Source $src -Destination $dest Copy-DbaAgentJobCategory -Source $src -Destination $dest Copy-DbaAgentSchedule -Source $src -Destination $dest Copy-DbaAgentJob -Source $src -Destination $dest Get-DbaLogin -SqlInstance $src -SqlCredential $srcLogin -Type SQL | Copy-DbaLogin -Destination $dest -DestinationSqlCredential $destLogin
- 34. Maintenance and monitoring What to do after migration?
- 36. Azure SQL Analytics Performance monitoring dashboard Telemetry stored for 30* days Custom Alerting Azure Storage Event Hub Azure SQL database Stream Analytics Function s App services Custom integrations Intelligent performance monitoring Partner monitoring tools Log Analytics queries
- 37. Monitoring Demo
- 38. Data Never Rests. Neither do you. Time to learn. aka.ms/DataAccessGuide
Hinweis der Redaktion
- https://teams.microsoft.com/_#/pptx/viewer/teams/https%3A~2F~2Fmicrosoft.sharepoint.com~2Fteams~2FSQLServerAdoption~2FShared%20Documents~2FEvents~2FSQL%20BITS%202019~2FSQL%20BITS%20Keynote.pptx?threadId=19%3A9a2925e61e144e02b7b9cb8b4fc7573a%40thread.skype&baseUrl=https%3A~2F~2Fmicrosoft.sharepoint.com~2Fteams~2FSQLServerAdoption&fileId=B3A4C6C5-7319-452C-BFB5-AC116827EE2A&ctx=files&viewerAction=view Keynote – The Future of the Data Professional Introduction – use new team as overview (Buck) - New SQL Server Features – Bob (Demo SQL Linux, etc) - Hybrid Data Platform - Alaine (Demo MI) Big Data – Buck (Demo BDC/Spark) ML and AI with new Languages - Anna (Demo Java, Python or R) - BI - [guys]^3 (Demo PBI and BI improvements ) - Close out and send-off to specific sessions (Bob)
- Keynote – What's Next for the Data Professional - Introduction – use new team as overview (Buck) - New SQL Server Features – Bob (Demo SQL Linux, etc) - Hybrid Data Platform - Alaine (Demo MI) - ML and AI with new Languages - Anna (Demo Java, Python or R) - Big Data – Buck (Demo BDC/Spark) - BI - [guys]^3 (Demo PBI and BI improvements - The Azure Data Platform all-up (Buck, Alaine) - Close out and send-off to specific sessions (Bob)
- In addition to the built-in intelligence, Azure SQL Database is a fully-managed service, which means Microsoft operates SQL Server for customers and ensures availability and performance. Features that come with SQL Database include, but are not limited to: provisioning and resizing (w/ Azure Portal experience), built-in auto HA (99.99%), automatic backup, point-in-time-restore (database-level), and active geo-replication. Because Microsoft assumes much of the daily maintenance, administration and infrastructure costs, your customer’s IT organization can quickly realize cost and operational benefits that they may not have otherwise experienced with their on-premises or hosted solution. In fact, Microsoft commissioned a study with Forrester Consulting that found that organizations who modernized their databases from SQL Server to SQL Database Managed Instance realized up to a 212% ROI over three years.1 1The Total Economic Impact of Microsoft Azure SQL Database Managed Instance, Forrester Consulting, September 2018
- Introducing Azure SQL Database Managed Instance SQL Database Managed Instance is an expansion of the existing SQL Database service designed to enable database migration to a fully-managed database service, without re-designing the application. It’s important to note that Managed Instance isn’t a new service – it is a third resource type within Azure SQL Database, sitting alongside single databases and elastic pools. As part of Azure SQL Database, Microsoft’s fully managed cloud database service, it inherits all its built-in features. Each standalone database is assigned a certain amount of resources via performance tiers: Basic, Standard, and Premium. The emphasis of this offering focuses on a simplified database-scoped programming model and applications with a predictable pattern and relatively stable workload. An elastic database pool is a shared resource model that enables higher resource utilization efficiency, and all the databases within an elastic pool share predefined resources within the same pool. The emphasis of this offering is on a simplified database-scoped programming model for multi-tenant SaaS apps. The workload pattern is well-defined and is highly cost-effective in multi-tenant scenarios. For ISVs with SaaS apps, the savings can be significant, in the hundreds of thousands of dollars or more. A SQL Database Managed Instance offers a simplified instance-scoped programming model that is like an on-premises SQL Server instance. The databases in a SQL Database Managed Instance share the resources allocated to the Managed Instance, and the Managed Instance also represents the management grouping for these databases. The emphasis of this offering is on high compatibility with the programming model of an on-premises SQL Server and out-of-box support for a large majority of SQL Server features and accompanying tools/services.
- See https://docs.microsoft.com/en-gb/azure/sql-database/sql-database-managed-instance-connectivity-architecture Key points: Enable full isolation from other tenants without resource sharing Promote secure communication over private IP addresses with native VNET integration Enable your on-premise identities on cloud instances, through integration with Azure Active Directory and AD Connect To two levels of isolation are provided: Cluster (tenant ring) level: Managed Instances for a tenant are fully isolated from other tenants. No connectivity or resource sharing is possible between different tenants. Networking level: joining instances to a subnet in a VNET and restricting access to private IP addresses only provides full isolation from public Internet. SQL Database Managed Instance provides complete workload isolation of your workloads through native VNET support. We use virtual data clusters to describe the degree of isolation that customer workloads will experience with SQL Database Managed Instance. During service provisioning (on Azure Portal or through REST API), you can choose the virtual network (VNET) and the subnet to achieve full networking isolation for your Managed Instances. Once created, instances in the VNET can be reached using Azure networking mechanisms (VPN and Express Route gateways).
- Key point(s) You may choose to host application in the cloud either by using Azure App Service or some of Azure's virtual network (VNet) integrated options like Azure App Service Environment, Virtual Machine, Virtual Machine Scale Set. You could also take hybrid cloud approach and keep your applications on-premises. https://docs.microsoft.com/en-us/azure/sql-database/sql-database-managed-instance-connect-app Azure resources can communicate privately with each other through an Azure Virtual Network (VNet). A VNet is a logical isolation of the Azure cloud dedicated to your subscription. You can implement multiple VNets within each Azure subscription and Azure region. Each VNet is isolated from other VNets. You can connect Vnets to each other, enabling resources connected to either Vnet to communicate with each other across VNets https://docs.microsoft.com/en-us/azure/virtual-network/virtual-networks-overview?toc=%2fazure%2fnetworking%2ftoc.json Peering Enables resources connected to different Azure Vnets within the same region to communicate with each other https://docs.microsoft.com/en-us/azure/virtual-network/virtual-network-peering-overview?toc=%2fazure%2fnetworking%2ftoc.json VPN Gateway Enables resources connected to different Azure Vnets within different Azure region to communicate with each other https://docs.microsoft.com/en-us/azure/vpn-gateway/vpn-gateway-howto-vnet-vnet-resource-manager-portal?toc=%2fazure%2fnetworking%2ftoc.json
- Show how easy it is to provision Hyperscale. Just like any other Azure services Show point in time restore of 50TB
- Keynote – What's Next for the Data Professional - Introduction – use new team as overview (Buck) - New SQL Server Features – Bob (Demo SQL Linux, etc) - Hybrid Data Platform - Alaine (Demo MI) - ML and AI with new Languages - Anna (Demo Java, Python or R) - Big Data – Buck (Demo BDC/Spark) - BI - [guys]^3 (Demo PBI and BI improvements - The Azure Data Platform all-up (Buck, Alaine) - Close out and send-off to specific sessions (Bob)
- Keynote – What's Next for the Data Professional - Introduction – use new team as overview (Buck) - New SQL Server Features – Bob (Demo SQL Linux, etc) - Hybrid Data Platform - Alaine (Demo MI) - ML and AI with new Languages - Anna (Demo Java, Python or R) - Big Data – Buck (Demo BDC/Spark) - BI - [guys]^3 (Demo PBI and BI improvements - The Azure Data Platform all-up (Buck, Alaine) - Close out and send-off to specific sessions (Bob)
- Keynote – What's Next for the Data Professional - Introduction – use new team as overview (Buck) - New SQL Server Features – Bob (Demo SQL Linux, etc) - Hybrid Data Platform - Alaine (Demo MI) - ML and AI with new Languages - Anna (Demo Java, Python or R) - Big Data – Buck (Demo BDC/Spark) - BI - [guys]^3 (Demo PBI and BI improvements - Close out and send-off to specific sessions (Bob)