Customer migration to Azure SQL database, December 2019
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The document outlines the transition from legacy on-premises database-heavy applications to cloud architecture using Microsoft Azure. It details the reasons for migration, proposed architecture changes, and the benefits achieved such as reduced operational costs, improved application deployment cycles, and enhanced security. Additionally, it provides recommendations for different levels of application rationalization and highlights various Azure services and tools that facilitate this transition.
Customer migration to Azure SQL database, December 2019
- 1. Modernize your old database-heavy application to cloud architecture George Walters Cloud Partner Strategist, Microsoft [email protected] @geo_walters on twitter
- 2. From Legacy to the Cloud! 3 1. Why would someone give up on-premises SaaS infrastructure for Azure? 2. Technology decisions behind this conversion 3. Proposed Architecture 4. Changes to Azure during planning and rollout 5. Futures: Alternate architecture open discussion
- 3. 1920 1980s 2010s 2020s Source: Yale Professor Richard Foster Average lifespan of a company on S&P 500
- 4. Increasing performance demands Increasing CAPEX Increased tax on IT Prohibitively expensive upkeep MOBILE BI ADVANCED ANALYTICS DATACENTERS ETL SUPPORT
- 5. The customer stated (in 2013) 6
- 6. Cloud & IT Strategy SaaS (Software as a Service) Public Cloud Platforms Physical Virtual ?
- 8. The Azure Platform Strategy Public, Global, Shared Datacenters 54 regions! Security& Management SaaS (Software as a Service) O365, CRM, VSO etc… + 3rd Party SaaS Solutions Public Cloud Platform Hybrid Operations Security& Management Hybrid Operations
- 11. The agreed-upon actions became (2013): 12
- 12. Redeploy as-is to cloud • Reduce Capex • Free up datacenter space • Quick cloud ROI IaaS Minimally alter to take better advantage of cloud • Faster, shorter, updates • Code portability • Greater cloud efficiency (resources, speed, cost) Containers PaaS Materially alter/decompose application to services • App scale and agility • Easier adoption of new cloud capabilities • Mix technology stacks PaaS Serverless Microservices New code written with cloud native approach • Accelerate innovation • Build apps faster • Reduce operational cost Description Drivers Technologies Rehost Refactor Rearchitect Rebuild
- 13. 14 On-Premises To Azure Application Architecture Changes Azure User PC Internet Clock Admin UI (.NET and COM) Web Page Business Logic Data Access Service Layer (VB/COM) Business Logic Data Access LOB. Data Layer HRO HRIS HRIS Tablet Current State Proposed Future Architecture User PC Internet Clock LOB. Data Layer HRO HRIS HRIS Tablet Client UI (.NET and COM) Web Page Business Logic Data Access Service Layer .NET Business Logic Data Access Client UI Web Roles Admin UI Web Roles Worker Roles Client DB 1.. SQL Azure Client DB N SQL Azure Master DB SQL IaaS VM Firewall Firewall Master DB Client DB 1..Client DB N
- 14. What were the recommendations to migrate to Azure? 15
- 15. So what actually happened? 16
- 16. What happened, part 2 17
- 17. What is Azure Resource Manager, why to use it? 18
- 18. Azure SQL Database Intelligent database service with infinite scale Manage thousands of DBs as one Faster time to market Lower TCO 47% staff hours reclaimed for other tasks “Moving to Elastic Pools will save us a ½ million dollars this year alone.” 75% faster app deployment cycles “We can get things out faster with Azure SQL Database” 53% less expensive than on-prem/hosted “To be able to do what we’re doing in Azure, we’d need an investment of millions.” Customer 1 Customer …500 Customer 2 Greater security Built-in security with AI- based Threat Detection “We encrypt when data comes in and decrypt at the point of consumption.” SECURITY Delivers 406% ROI and 71% fewer cases of downtime* *Data source & customer quotes: The Business Value of Microsoft Azure SQL Database Services, IDC, March 2015
- 20. Max per-database burst level
- 21. Power your data estate anywhere Business intelligence Advanced Analytics & AI Any language, any platform, anywhere Least vulnerable data platform, with more certifications than any other cloud provider Structured Unstructured OLTP MOBILE ERP LOB Graph Social IoT Media DATA SOURCES DATA INSIGHTS Datavirtualization DATA MANAGEMENT Dataintegration Big data processing Data warehousing Operational data SECURITY FLEXIBILITY .NET Azure 3rd JAVA Power BI Azure Machine Learning Azure Stream Analytics Azure Cognitive Services SQL Server Reporting Services and Mobile BI SQL Server Analysis Services, R or Python Azure HDInsight Azure SQL Data Warehouse Azure Data Lake Azure Cosmos DB Azure SQL Database SQL Server SQL Server Data Warehouse Apache Hadoop ON-PREM CLOUD
- 22. Microsoft Azure Data Services transactional processing rich query managed as a service elastic scale Internet accessible http/rest schema-free data model arbitrary data formats
- 23. In 2019, what would I do? 26 ANY Application rationalization: Can I do SaaS? Can I do PaaS? Can I do IaaS? SCRIPT IT! Lift and shift? -> Azure SQL Database Managed Instance or VMs Refactor -> Azure SQL DB plus Web Apps Use Azure SQL DB DTU Calculator! Advanced Refactor -> CosmosDB! (Planet-scale multi-write auto-indexing) Data Warehouse -> Azure SQL DB or Azure SQL DW Use Azure SQL DW DWU Calculator! Reporting -> Power BI Embedded lets end-users see reports in iFrame without license Cubes -> Azure Analysis Services Learn Kubernetes! --- WHAT?!
- 24. Insights in minutes and rich reports Choice of platform and language Most secure over the last 8 years5 0 20 40 60 80 100 120 140 160 180 200 Vulnerabilities(2010-2017) The best of Power BI and SQL Server Reporting Services with Power BI Report Server Industry-leading performance #1 OLTP performance1 #1 DW performance on 1TB2, 10TB3, and 30TB4 Intelligent Query Processing Industry-leading performance and security, with intelligence over all your data Private cloud Public cloud Most consistent data platformIn-memory across all workloads 1/10th the cost of Oracle T-SQL Java C/C++ PHP Node.js C#/VB.NET Python Ruby All TPC Claims as of 1/19/2018. 1 http://www.tpc.org/4081; 2 http://www.tpc.org/3331; 3 http://www.tpc.org/3326; 4 http://www.tpc.org/3321; 5 National Institute of Standards and Technology Comprehensive Vulnerability Database Intelligence over any data AI and Machine Learning over all data with the power of SQL and Apache Spark
- 25. PolyBase SQL Server Hadoop T-SQL query • Manage structured & unstructured data • Simple T-SQL to query Hadoop (HDFS) • JSON support Quote: $658.39 Stretch database App Microsoft Azure Query Customer data Product data Order History Stretch to cloud ✓ • Data is encrypted & queryable • Save money & improve customer experience • No application changes Learn more! www.microsoft.com/ SQLServer2016 Order history Name SSN Date Philip Wenger cm61ba906fd 2/28/2005 Denny Usher ox7ff654ae6d 3/18/2005 Alicia Hodge i2y36cg776rg 4/10/2005 Alta Levy nx290pldo90l 4/27/2005 Dionne Hardin ypo85ba616rj 5/12/2005 Kristy Flowers bns51ra806fd 5/22/2005 Sara Wiley mci12hh906fj 6/07/2005 Whitney Lang utb76b916gi 6/18/2014 Lorenzo Olds px61hi9306fj 7/1/2014 Sophie Cook ol43bi506gd 7/12/2014 Aida Durham tx83hal916fi 7/29/2014 Name DOB State Denny Usher 11/13/58 WA Gina Burch 04/29/76 WA Real-time operational analytics 0100101010110 ETL In-memory ColumnStore In-memory OLTP Real-time business problem detection 2-24 hrs • Up to 30x faster transactions with in-memory OLTP • Queries from minutes to seconds In-database Advanced Analytics R built-in to SQL Server Mission critical OLTP • R built-in to your T-SQL • Real-time operational analytics without moving the data • Open source R with in-memory & massive scale – multi-threading and massive parallel processing End-to-end mobile BI • In-memory built-in • Real-time with direct query capabilities • Powerful modeling with 250+ built-in analytical functions • Mobile reports with online & offline access • Modern data visualizations with Reporting Services or Power BI Highest performing data warehouse SMP MPP Petabyte- scale Data marts Azure SQL Data Warehouse MPP SQL Server SQL Server + Analytics Platform System Data marts Petabyte- scale SMP • Scale to MPP on-premises & in the cloud • Simple T-SQL to manage structured and unstructured data • ½ the cost of Oracle Exadata SQL Server in Azure VM Always Encrypted App SELECT Name FROM Patients WHERE SSN=@SSN @SSN='198-33-0987' SQL Server Column Master Key Query Column Encryption Key Enhanced ADO.NET Library Denny Usher Name 198-33-0987 SSN USA Country Result Set Philip Wegner Name 1x7fg655se2e SSN USA Country Denny Usher 0x7ff654ae6d USA Alicia Hodge 0y8fj754ea2c USA dbo.Patients Denny Usher Name 0x7ff654ae6d SSN USA Country Result Set SELECT Name FROM Patients WHERE SSN=@SSN @SSN=0x7ff654ae6d • Protect data at rest and in motion • Without impacting database performance Trusted On-premises Cloud
- 26. Top 10 reasons to choose SQL Server 2019 Bring the industry-leading performance and security of SQL Server to your choice of language, platform, and data—structured and unstructured 3. Eliminate the need for data movement 1. Harness the power of big data 2. Bring AI to your workloads 4. Explore and interact with visual data 5. Run real-time analytics on operational data 6. Automatically tune SQL Server 7. Reduce database maintenance and increase business uptime 8. Boost security and protect data in use 9. Track compliance with sophisticated resources 10. Optimize with choice and flexibility Data virtualization allows queries across relational and non-relational data without movement or replication. Big data clusters with scalable compute and storage composed of SQL Server, Spark, and HDFS. Cache data in scale-out data marts. A complete AI platform to train and operationalize models in SQL Server ML Services or Spark ML using Azure Data Studio notebooks. Visual data exploration and interactive analysis using SQL Server BI tools and Power BI Report Server. In-memory technologies for analytics on operational data using HTAP. Higher concurrency and scale through persistent memory. Intelligent Query Processing improves scaling of queries and Automatic Plan Correction resolves performance problems. Greater uptime with more online indexing operations. Now run Always On availability groups on containers using Kubernetes. SQL Server enables layers of security including protection of computations in Always Encrypted secure enclaves. Data Discovery & Classification labeling for GDPR and Vulnerability Assessment tool to track compliance. Support for your choice of Windows, Linux, and containers. Run Java code on SQL Server and store and analyze graph data. © 2018 Microsoft Corporation. All rights reserved. This material is provided for informational purposes only. Microsoft makes no warranties, express or implied. Greater uptime with resumable online indexing and online columnstore re-indexing
- 27. Azure covers compliance offerings https://aka.ms/AzureCompliance
- 28. From Legacy to the Cloud! 31 1. Why would someone give up on-premises SaaS infrastructure for Azure? 2. Technology decisions behind this conversion 3. Proposed Architecture 4. Changes to Azure during planning and rollout 5. Futures: Alternate architecture open discussion
- 29. Thank you! @geo_walters [email protected] Resources: Microsoft Documentation (Pretty good nowadays!) https://docs.microsoft.com/en-us/ Learning via docs (and MVA): https://docs.microsoft.com/en-us/learn/ Hands-on labs: https://www.microsoft.com/handsonlabs In-Person events: https://events.microsoft.com/ SQL Saturday (Centered around Microsoft data platform): http://www.sqlsaturday.com EdX has tons of material: https://www.edx.org/course?search_query=microsoft