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Migrating Your Databases to AWS – Tools and Services (Level 100)

Migrating Your Databases to AWS – Tools and Services (Level 100)

In this webinar, you will learn how the AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) can help migrate your databases to AWS for homogeneous and heterogeneous migrations. We will also discuss new sources and targets, together with new features that make DMS and SCT a powerful combination for both your database migration and data replication requirements.

Speaker: Blair Layton, APAC Business Development, Database, AWS APAC

In this webinar, you will learn how the AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) can help migrate your databases to AWS for homogeneous and heterogeneous migrations. We will also discuss new sources and targets, together with new features that make DMS and SCT a powerful combination for both your database migration and data replication requirements.

Speaker: Blair Layton, APAC Business Development, Database, AWS APAC

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Migrating Your Databases to AWS – Tools and Services (Level 100)

  1. 1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Migrating Your Databases to AWS – Tools and Services Blair Layton Business Development Manager Database Services
  2. 2. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. What to Expect from the Session • Migration Issues • AWS Database Migration Service Overview • AWS Schema Conversion Tool Overview • When to use DMS and SCT • Customer Success Stories • Case Study – SQL Server on-prem to RDS PostgreSQL • Migration Projects – Quick overview • Q&A!
  3. 3. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Customers Want to Migrate to AWS, but… They can’t afford long periods of application downtime Tools that enable minimal downtime are expensive It seems too complex and expensive to migrate They still need a copy of the data on-premise They want to migrate to an open source database Sending large volumes of data to AWS requires an expensive international network link They don’t have the skills inside their organization
  4. 4. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Traditional Approach to Migrate to AWS 1. Create your AWS account 2. Setup your Virtual Private Cloud (VPC) in AWS 3. Connect to AWS with a VPN or Direct Connect 4. Shutdown and backup your database 5. Transmit the backup to S3 6. Configure an EC2 instance with the DB software 7. Restore the backup 8. Configure EC2 instances for the application 9. Switch the users to use AWS
  5. 5. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Traditional Approach to Migrate to AWS 1. Create your AWS account 2. Setup your Virtual Private Cloud (VPC) in AWS 3. Connect to AWS with a VPN or Direct Connect 4. Shutdown and backup your database 5. Transmit the backup to S3 6. Configure an EC2 instance with the DB software 7. Restore the backup 8. Configure EC2 instances for the application 9. Switch the users to use AWS Steps 4-9 could take a week or more!
  6. 6. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Now There is a Better Way!
  7. 7. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Database Migration Service (AWS DMS) DMS migrates databases to AWS easily and securely with minimal downtime. It can migrate your data to and from most widely used commercial and open-source databases. Amazon Aurora
  8. 8. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. New NoSQL support Migrate to AWS • Move from MongoDB to Amazon DynamoDB • Move from MongoDB to relational db’s Move between NoSQL and SQL • Change technologies Amazon Aurora DynamoDB DynamoDB RDS
  9. 9. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. New Support for S3 as a Source and Target Extract Data from any supported DMS source to S3 and to any DMS target S3 Bucket Amazon Aurora S3 Bucket Amazon Aurora DynamoDB
  10. 10. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. S3 as a Source Bulk Load s3://mybucket/schemaName/tableName s3://mybucket/hr/employee /schemaName/tableName/LOAD001.csv /schemaName/tableName/LOAD002.csv /schemaName/tableName/LOAD003.csv ... 101,Smith,Bob,4-Jun-14,New York 102,Smith,Bob,8-Oct-15,Los Angeles 103,Smith,Bob,13-Mar-17,Dallas 104,Smith,Bob,13-Mar-17,Dallas CDC Load s3://mybucket/changedata CDC00001.csv CDC00002.csv CDC00003.csv ... INSERT,employee,hr,101,Smith,Bob,4-Jun-14,New York UPDATE,employee,hr,101,Smith,Bob,8-Oct-15,Los Angeles UPDATE,employee,hr,101,Smith,Bob,13-Mar-17,Dallas DELETE,employee,hr,101,Smith,Bob,13-Mar-17,Dallas
  11. 11. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. S3 as a Source – JSON External Table Definition { "TableCount": "1", "Tables": [ { "TableName": "employee", "TablePath": "hr/employee/", "TableOwner": "hr", "TableColumns": [ { "ColumnName": "Id", "ColumnType": "INT8", "ColumnNullable": "false", "ColumnIsPk": "true" }, { "ColumnName": "LastName", "ColumnType": "STRING", "ColumnLength": "20" }, …
  12. 12. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. S3 as a Target Bulk Load s3://mybucket/schemaName/tableName s3://mybucket/hr/employee /schemaName/tableName/LOAD001.csv /schemaName/tableName/LOAD002.csv /schemaName/tableName/LOAD003.csv ... 101,Smith,Bob,4-Jun-14,New York 102,Smith,Bob,8-Oct-15,Los Angeles 103,Smith,Bob,13-Mar-17,Dallas 104,Smith,Bob,13-Mar-17,Dallas CDC Load s3://mybucket/schemaName/tableName <time-stamp>.csv <time-stamp>.csv <time-stamp>.csv ... I,101,Smith,Bob,4-Jun-14,New York U,101,Smith,Bob,8-Oct-15,Los Angeles U,101,Smith,Bob,13-Mar-17,Dallas D,101,Smith,Bob,13-Mar-17,Dallas
  13. 13. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Sources Databases for DMS On-premises and Amazon EC2 instance databases: • Oracle Database 10g–12c • Microsoft SQL Server 2005–2016 • Azure SQL Database (CDC operations are not supported) • MySQL 5.5–5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.3+ • SAP ASE 15.7+ • MongoDB 2.6.x – 3.x RDS instance databases: • Oracle Database 11g–12c • Microsoft SQL Server 2008R2–2016. CDC operations are not supported yet. • MySQL versions 5.5–5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.4+. CDC only on 9.4.9+, 9.5.4+, 9.6+ • Amazon Aurora (MySQL-compatible data source)
  14. 14. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Target Databases for DMS On-premises and EC2 instance databases: • Oracle Database 10g–12c • Microsoft SQL Server 2005–2016 • MySQL 5.5–5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.3+ • SAP ASE 15.7+ RDS instance databases: • Oracle Database 11g–12c • Microsoft SQL Server 2008 R2 - 2016 • MySQL 5.5–5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.3+ • Amazon Aurora (MySQL-compatible data source) • Amazon Redshift and Amazon DynamoDB
  15. 15. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Intel® Processor Technologies Intel® AVX – Dramatically increases performance for highly parallel HPC workloads such as life science engineering, data mining, financial analysis, media processing Intel® AES-NI – Enhances security with new encryption instructions that reduce the performance penalty associated with encrypting/decrypting data Intel® Turbo Boost Technology – Increases computing power with performance that adapts to spikes in workloads Intel Transactional Synchronization (TSX) Extensions – Enables execution of transactions that are independent to accelerate throughput P state & C state control – provides granular performance tuning for cores and sleep states to improve overall application performance
  16. 16. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Customer Premises Application Users AWS Internet VPN Start a replication instance Connect to source and target databases Select tables, schemas, or databases Let AWS DMS create tables, load data, and keep them in sync Switch applications over to the target at your convenience Keep Your Apps Running During the Migration AWS Database Migration Service
  17. 17. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Multi-AZ Option for High Availability Customer Premises or AWS AWS Internet VPN AWS Database Migration Service AWS Database Migration Service
  18. 18. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Change Data Capture (CDC) and Apply Replication instance Source Target update t1 t2 t1 t2 Transactions Change apply after bulk load
  19. 19. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Load is Table by Table Replication instance Source Target
  20. 20. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Replication instance Source Target Multiple Targets Target Target
  21. 21. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Replication instance Source Target Multiple Sources Source Source
  22. 22. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Customers Don’t Have to Take Everything Source Target Replication instance instance
  23. 23. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Homogenous or Heterogeneous Replication instance SQL Server MySQL Replication instance Oracle Oracle Replication instance Oracle Aurora
  24. 24. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. New Use Cases with DMS
  25. 25. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. New Use Cases with DMS Migration of business critical applications Migration from Classic to VPC Cheap read replicas for Oracle Read replicas on other engines Cross region read replicas for Oracle and SQL Server Analytics in the Cloud Dev/Test and Production environment sync.
  26. 26. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. What Else Could You Do With DMS?
  27. 27. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Database Migration Service Pricing T2 for developing and periodic data migration tasks C4 for large databases and minimizing time T2 pricing starts at $0.028 per hour for T2.micro C4 pricing starts at $0.213 per hour for C4.large 50 GB GP2 storage included with T2 instances 100 GB GP2 storage included with C4 instances Data transfer inbound and within AZ is free Data transfer across AZs starts at $0.01 per GB
  28. 28. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Migrate 5 TB in 33 Hours! In our testing, under mostly ideal conditions, we were able to migrate 5 TB of relatively evenly distributed data from a database on Amazon EC2 to a database on Amazon RDS in about 33 hours. The data included 4 large (250 GB) tables, a huge (1 TB) table, 1000 small to moderately sized tables, 3 tables which contained LOBs varying between 25 GB and 75 GB, and 10,000 very small tables. - DMS Documentation
  29. 29. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. For less than $10 per TB!
  30. 30. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. My Database is Too Big!
  31. 31. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Data Ingestion with AWS AWS Import/Export Disk – Ship your hard disks to AWS AWS Import/Export Snowball – A secure storage appliance with up to 80 TB that AWS ships to you Amazon S3 Transfer Acceleration – Use AWS Edge Locations nearest to you to transfer data on Amazon’s optimized network up to 300% faster. You only need to pay for a local network connection!
  32. 32. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Schema Conversion Tool (AWS SCT) SCT helps automate many database schema and code conversion tasks when migrating between database engines or data warehouse engines Amazon Aurora
  33. 33. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Schema Conversion Tool Supports Schema Copy and RDS Recommendations
  34. 34. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. SCT Data Extractors Extract Data from your data warehouse and migrate to Amazon Redshift • Extracts through local migration agents • Data is optimized for Redshift and Saved in local files • Files are loaded to an Amazon S3 bucket (through network or Amazon Snowball) and then to Amazon Redshift Amazon Redshift AWS SCT S3 Bucket • Greenplum Database (version 4.3 and later) • Microsoft SQL Server (version 2008 and later) • Netezza (version 7.0.3 and later) • Oracle (version 10 and later) • Teradata (version 13 and later) • Vertica (version 7.2.2 and later)
  35. 35. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. SCT Helps with Converting Tables, Views & Code Sequences User-Defined Types Synonyms Packages Stored Procedures Functions Triggers Schemas Tables Indexes Views Sort and distribution keys
  36. 36. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. SCT can tell you how hard the migration will be 1. Connect SCT to Source and Target databases. 2. Run Assessment Report. 3. Read Executive Summary. 4. Follow detailed instructions.
  37. 37. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Pricing and Terms and Conditions $0 for software license Allowed Use  Use SCT to migrate database schemas to Amazon RDS, Amazon Redshift, or Amazon EC2-based databases  To use SCT to migrate schemas to other destinations, contact for special pricing Pricing  Free software license  For active AWS customers with accounts in good standing
  38. 38. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. When to use DMS and SCT?
  39. 39. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Strengths and Focus Areas DMS can act as a replication/migration Swiss Army knife, but is not a magic wand. Use It - Heterogeneous migrations - Minimal downtime required - No native solution Caution - Some tables with large LOBs - Complex data types - High load database Don’t Use It - Native no downtime solution exists - Can take downtime + native - > 5 TB + slow Internet****
  40. 40. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Tools for Migration Project Phases Phase Service/Tool Notes Assessment AWS Schema Conversion Tool Reports on the database objects, complexity and types of migration issues Schema Migration AWS Schema Conversion Tool Copies a schema or migrates a schema depending on whether it is a homogeneous or heterogeneous migrations Data Migration AWS Database Migration Service AWS Schema Conversion Tool Bulk load and change data capture (CDC) options Extraction and load for large data warehouses, including AWS Snowball integration Application Migration AWS Schema Conversion Tool SQL statement migration in application code Data Validation Manual Count, Sum, or compare a hash of a query output Functional Testing Various Tools on Marketplace Ensure the application runs as intended Performance Testing Various Tools on Marketplace Ensure the application performance as intended
  41. 41. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Tools for Migration Scenarios Scenario Example Recommendation Homogeneous migration to the same database version and edition Migration of Oracle Database 11gR2 Enterprise Edition from on-premise to EC2 Use the native replication technology to create a standby database and then failover to the standby database Homogeneous migration to a different version Migration of MySQL 5.5 to MySQL 5.7 AWS Schema Conversion Tool and AWS Database Migration Service Homogeneous migration to a different edition Migration of SQL Server Enterprise Edition to Standard Edition AWS Schema Conversion Tool and AWS Database Migration Service Heterogeneous migration Migration from Oracle Database to PostgreSQL AWS Schema Conversion Tool and AWS Database Migration Service
  42. 42. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Customer Successes
  43. 43. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Heterogeneous migration Oracle private DC to RDS PostgreSQL migration Used the AWS Schema Conversion Tool to convert their database schema Used on-going replication (CDC) to keep databases in sync until they reached the cutover window Benefits: • Improved reliability of the cloud environment • Savings on Oracle licensing costs • SCT Assessment Report let them understand the scope of the migration
  44. 44. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Scale-up migration RDS MySQL to Amazon Aurora Migration Used DMS with on-going replication (CDC) to migrate the data Benefits: • Aurora handles their larger data storage requirements. Per regulations they are storing 120 TB of data for 2 years • Reduced cost and improved performance when compared to large MySQL instances
  45. 45. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Homogeneous migration RDS MySQL on EC Classic to VPC Database ran an end-user application so could not take downtime 70 RDS instances have been migrated Benefits: • Leveraging CDC, they could decrease outage per database to less than 5 mins • 70 RDS instances have been seamlessly migrated
  46. 46. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Split migration 35 million members on it’s site Many interdependent applications built over the last 15 years with unique High IOPS requirements Migration from legacy cloud service to AWS Combination of migration to MySQL on EC2 and Amazon Aurora Benefits: • DMS reduced the time required to migrate our databases by 40 percent • Realized 55 percent cost savings by moving some db’s to Amazon Aurora
  47. 47. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Partner Case Study – Migration from Microsoft SQL Server to RDS PostgreSQL
  48. 48. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. On Premises Database MSSQL Server 2008 R2 Enterprise Edition Database Stats (April 2016): • Number of Tables: 102 • Database Size: ~ 55GB • Server Specs: 128GB RAM, Intel Xeon CPU with 24 Cores Company Profile >2 millionApproximate Registered SSO Users (June 2016) ~37Integrated Applications (June 2016) Ideal State ASEAN Media Company 4.7 million residential customers 183 TV channels including 53 HD channels Approx. 66% penetration of TV households • database in AWS caters for SSO’s migration to the cloud • able to manage current on-premises database load • able to scale with the application • must be highly available • maintain cost efficiency while performing all of the above Uberfusion Case Study – Data Migration for SSO Media
  49. 49. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. State of On-premise MSSQL Sever Database Limited Scalability As the on-premise MSSQL Server Database is a physical machine, scaling requires purchasing and installing additional hardware. Higher Costs Hardware upgrades are costly with a high hardware delivery turn-around time. Additionally, MSSQL Server Enterprise Edition licenses are high in costs. Shared Infrastructure The on-premises database infrastructure is shared across multiple applications. A problem caused by another application could potentially affect SSO. New Mandate for SSO To migrate the on-premise SSO system into Amazon Web Services (AWS) cloud to reduce cost and improve scalability. Urgency To be ready to handle high load during Euro and Olympics 2016 Migration into the Cloud No data loss and completed in a short time frame at minimal costs The decision was made to go with RDS PostgreSQL, as: - MSSQL on RDS does not support Multi Availability Zone in AWS Singapore and hence cannot be highly available - No need to maintain a VPN tunnel back to premise - Lower OPEX costs compared to running MSSQL on RDS or managing our own DB servers Problem Statement, Mandate and Challenge ~11.5x cheaper Compared to RDS MSSQL Server Enterprise
  50. 50. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Uberfusion’s Delivery for Data Migration for SSO System Challenge: Short Migration Window & Legacy Data • Data cleansing was performed • Instance created with access to both source and target database for ease of migration • Export scripts automated for speed and accuracy • Multiple scripts to cater for special characters in data • Logs offloaded from database to ElasticSearch and Kibana Challenge: Leverage Managed Service • Amazon’s RDS service for PostgreSQL was used • System code base was updated to integrate with the new database Challenge: Testing • Services were disabled pre-DNS migration for the SSO System • Whitelist for specific users were created for testing and verification of data Challenge: Transparent to Users • PostgreSQL Membership library was modified to mimic ASP.NET Membership in regards to password encryption • Migration was tested beforehand to ensure users would still be able to login with their existing passwords Amazon Elasticsearch Service Amazon Kinesis Firehose Challenge: Zero Data Loss • All user-related data tables were identified • System was put into read-only mode before starting migration • Views were created in the schema of the new PostgreSQL database, and exported to flat files • Number of records were verified for pre- and post-migration • Data was verified for accuracy from a sample of users post-migration The Solution Amazon RDS Postgre SQL instance Amazon RDS Postgre SQL instance Postgre SQL instance <1hr Total Migration Time ~1.5GB Data size reduced to ~1.8 millionSSO users migrated
  51. 51. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Migration Steps Disable SSO Service Run script to export data to flat files according to new schema Remove headers from exported files Import processed files into Amazon PostgreSQ L RDS Test and verify data integrity Create views to match new schema Re-enable SSO Service
  52. 52. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Uberfusion’s Delivery for SSO Migration to AWS Challenge: DB Migration from MSSQL to Postgres • Data exported into flat files with same schema as new Postgres DB • Membership libraries modified to replicate same encryption in PostgreSQL > 500,000sessions in June 2016) > 4x TPS improvement for login Challenge: Scaling and Simplified Provisioning • Separate applications on Amazon EC2 • Individual scaling groups according to load Challenge: End-to-End Monitoring • Silicone and service metrics monitored with Amazon Cloudwatch • Runscope used for API uptime and response time monitoring • Extensive logs input into Amazon Elastisearch via Amazon Firehose, visualised via Kibana 50% Page load times Challenge: Maintaining Connectivity • Citrix Cloudbridge is leveraged to ensure connectivity between AWS Cloud and on- premise DC Amazon RDS Postgre SQL instance Amazon EC2Auto Scaling Elastic Load Balancing AWS CodeDeploy CloudFormation Amazon Elasticsearch Service Amazon Kinesis FirehoseAmazon CloudWatch Amazon S3 Challenge: Improve System Performance • Use of Redis cache instead of DB for sessions and time-based tickets • Frequently accessed data is cached to reduce repeated DB reads • Compression and Browser Caching enabled on Amazon CloudFront, improving page load times by 50% • TPS improved to 179 TPS for login on 4 auto-scaled servers vs 40 TPS during on-premise Amazon SES Amazon SQSAmazon ElastiCacheAmazon CloudFront Amazon S3 Fast Provisioning of Infrastructure • Scales independently and only pay for what you use. • <1 day to duplicate environments vs >5 days for on-premise. The Benefits Improved Development Efficiency By leveraging AWS PaaS components, man-days can be focused on other parts of the system. Improved Availability and System Performance • 50% improvement in page load times. Increased Visibility Allows for Proactive Teams • Detected McAfee FIM tool causing CPU spikes. • Detected iOS production application hitting SSO Staging. Sustain High Loads • Anticipating Euro 2016 and Olympics 2016 load. • 179 TPS in AWS vs 40 TPS on- premise. The Solution and Benefits
  53. 53. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Migration Projects
  54. 54. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. EXECUTE AWS Migration Framework • Project Control ⎼ Strategy (business driver) ⎼ Key Stakeholders and Team ⎼ Plan (Scope, Schedule, Resources) ⎼ Cost Estimation • Portfolio discovery • Migration plan • Operations Integration • Security • Prioritized Backlog ⎼ Application groups ⎼ Migration strategy ⎼ Success criteria • Ops Integration – Foundation and Landing Zone (target zone setup) • Setup Factory (Tools, Teams, Processes) • Pilot Migration Discover Design Build Integrate Validate Cutover Prioritized Backlog (PLAN) • Application optimization • Process optimization • Operational optimization • Cost optimization READINESS AND PLANNING ACTIVATE OPTIMIZE
  55. 55. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Migration Framework (Readiness & Planning) • Project Control ⎼ Strategy (business driver) ⎼ Key Stakeholders and Team ⎼ Plan (Scope, Schedule, Resources) ⎼ Cost Estimation • Portfolio discovery • Migration plan • Operations Integration • Security READINESS AND PLANNING Discover, Assess & PrioritizeApplications Use Migration Tools Transition Production Redesign Application/ InfrastructureArchitecture App Code Development PurchaseCOTS/ SaaS & licensing Validation Modify underlying Infrastructure Full ALM/ SDLC Manual Config Manual Deploy Manual Install Determine Migration Path Automate Manual Install & Setup Integration Determine new platform The 6Rs of migration planning
  56. 56. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. For more information attend the webinar: Managing a Database Migration Project – Best Practices and Customer Experiences
  57. 57. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Remember to complete your evaluations!
  58. 58. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. We hope you found it interesting! A kind reminder to complete the survey and tell us your thoughts about today’s webinar and how we can improve your webinar experience for you in the future Thank You For Attending AWS Cloud Migration Webinar Series

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