Published on March 14, 2014
© 2013 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified, or distributed in whole or in part without the express consent of Amazon.com, Inc. Using Amazon RDS to Power Enterprise Applications [DAT202] Abdul Sathar Sait, AWS David Brunet, DLZP Group Mark Saneholtz and Shawn Leviski, Select Staffing November 15, 2013
What is ahead • Introduction to Amazon Relational Database Service – Enterprise database requirements and wishes – Overview of Amazon RDS – How well RDS fits enterprise application needs – New features in RDS • Partner Story – How DLZP group uses RDS to implement Oracle Enterprise Applications for their customers. – Overview of PeopleSoft Architecture on AWS – Use Cases for AWS – Moving to AWS Project Overview and Lessons Learned • Customer Story – How Select Staffing used RDS to cut cost and speed up migration of their PeopleSoft environments to AWS
Enterprise Database requirements • Reliability • Performance • High-Availability • Scalability • Data privacy and security
Enterprise Database wishes • Instant provisioning • Easy Cloning • Push button scalability • No effort high-availability • Automated backups • Automated Patching
Let there be Databases! Preconfigured fully managed database within minutes
Deploy your databases in any AWS geographic region
Scale your database instance up or down as you need
Set up High Availability and Read Replicas with no effort
Four popular RDBMS engines available
New features in Amazon RDS • Amazon RDS supports 3TB DB size and 30,000 Provisioned IOPS • High Memory Instance with 244GB memory • RDS for Oracle Supports Statspack • New data migration capabilities for RDS for MySQL • Create multiple Read Replicas in quick succession for RDS MySQL • Create a replica from an existing Read Replica for RDS MySQL • MySQL 5.6 with Memcached and Binary Log Access for RDS MySQL • RDS for Oracle Supports TDE and Native Network Encryption
Amazon RDS - Great fit for Enterprise Application Delivers Enterprise Application needs and wants • Fully managed database engines that are commonly used for Enterprise Applications. • High-Availability and transparent failover • Enterprise class performance and easy scalability • Automated backups and easy replication • Rapid provisioning and deployment • Automation support with APIs and CloudFormation scripts • Low-touch management/administration
Enterprise Application that AWS customers use with RDS include • PeopleSoft • JD Edwards • Siebel • ATG Web Commerce • Jaspersoft • SugarCRM • Alfresco
AWS Partner DLZP Group
About DLZP Group • Established May 1, 2011 • Former PeopleSoft/Oracle Employees • Based in Richmond, Texas • Woman & Minority-Owned Business • Founding Member of PeopleSoft on AWS Test Drive Initiative
Agenda • Provide Overview of PeopleSoft Architecture on AWS • Use Cases for AWS • Moving to AWS Project Overview and Lessons Learned
PeopleSoft Architecture on Amazon
Our use cases for Oracle on AWS Production Instances of Enterprise Applications and Databases Development and Test Instances for Enterprise and custom applications Training, POC, Sandbox, Patch Testing and debugging instances Disaster Recovery Site on AWS
Deployment Options • New Implementation vs Migration New Implementation Migration from On-Premise No legacy infrastructure Legacy systems and on premise dependencies require additional work. Clean implementation using optimal infrastructure Restrictions can be imposed by legacy setup and configuration Built using current best practices Migrate to current best practices as feasible. Faster time to go-live system can be stood up within 24 hours. Longer timeline due to data migration
• Create a Replica of your on-site environment in the AWS Cloud • Environment will be setup using YOUR Infrastructure Elements AWS Instance type (Start small and scale-up based on performance/user needs) OS’s (Unix, Linux, Microsoft) Databases Supported (Oracle, DB2, MS SQL Server) Supports PeopleSoft FSCM, HCM, ELM, EPM, Portal • Allows your team to experiment with the AWS Cloud and validate assumptions and feasibility. PeopleSoft on AWS Proof of Concept Service
Approach to Moving to AWS • Setup VPC • Create Foundational infrastructure (Web, App, Proc, DB Servers) • Copy Database Into AWS • Complete Configuration • Test Environment and Application • Test Move to Production (2 Iterations Min) • Move to Production • Total Time to Deploy – 6-12 Weeks Project Overview
• Migration of Large Databases (Timing) • Customizations • Connection to On-Premise Resources (i.e. LDAP, File Servers) • Availability of Testing Team Migration Challenges
• Environments can be provisioned on demand • Reduce time to implementation • Reduces complexity of technical environment • Provides for ability to experiment with different scenarios with minimal impact to your internal infrastructure • Disk Space is available on demand as you grow • Disaster Recovery is built into the infrastructure Design • Standardized Infrastructure • Scale up or Down based on Business needs. • Repeatability of Deployments. Benefits of Amazon Web Services
Things to Think about • Always Setup VPC First • RDS / EBS Volumes for Data Storage • Think about Ports / Security Required to access applications / printers, etc • Think about other Applications that are required by your PeopleSoft systems (Active Directory, etc)
• Provides 5 hours of PeopleSoft Running on AWS for FREE • Guided walkthroughs for HCM, FSCM • Environment used includes the following elements M1 Medium AWS Instance Microsoft Server Data Center Edition MS SQL Server 2008 PeopleSoft 9.1 Feature Pack 2 • Provisioned in minutes PeopleSoft Test Drive Lab
The DLZP Difference 281-912-DLZP email@example.com
Select Staffing A Customer View of AWS
Overview of Company – Size of Organization and Brief History • Select Staffing is one of the 10 largest staffing companies in the United States • Over 400 offices across the country • In business for over 20 years • Based out of Santa Barbara, CA
Primary Reasons / Goals for Move to AWS. Challenges • internal infrastructure and resources • DR & Failover solution • Cost of provisioning additional infrastructure and internal support Goal • Stable infrastructure • Dynamic resource provisioning • Cost-effective
Major challenges with moving to AWS • Upgrade challenges • Oracle 10g to Oracle 11g • Data transfer for go-live cut over • 1.2 TB & 1 TB DB’s migrated over to AWS • Required the use of Replication Software
Performance of AWS compared to your existing environment. • Ability to size the environment accordingly • Ability to experiment with various configurations to minimize costs. • Can size each component to its relevant scale • Web Servers can be provisioned on Small Instances • App / Process Scheduler Servers can be of various sizes to manage the workload they are utilized for.
Key benefits gained by moving to AWS • Greater visibility of costs and resource allocation • Scalability without capital expenditures • Test/QA flexibility
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