Ben Prusinski Session 3: 11/15/ :30 to 15:30 Location: Diablo
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1 Ben Prusinski Session 3: 11/15/ :30 to 15:30 Location: Diablo
2 About the Speaker- Ben Prusinski Oracle ACE Director, OCP, Beta tester, Author, Underwater Photographer Avid scuba diver and student pilot in free time
3 Agenda Architecting Oracle for the cloud Migration strategies to the cloud Cloud security best practices High Available (HA) design for the cloud Scalability Performance for Oracle in the cloud
4 Architecture for the Cloud- some definitions Public Cloud Private Cloud Hybrid Cloud Converged Infrastructure
5 First the big picture
6 Public Cloud what is it? Public Cloud is open to the world Known providers: Amazon and now Oracle Public Cloud Uses pay as you go model for hosted infrastructure and Oracle applications Advantages: prebuild hosted supported environment Disadvantages: less control, prone to issues for custom home grown based applications, uses one sized fits all type solution center model.
7 Public Cloud Design Considerations Security Performance Availability Scalability
8 Private Cloud Considerations Same considerations as public BUT Application integration key for private cloud configurations
9 Hybrid Cloud Design Guidelines Hybrid is mix of both public and private cloud for Oracle Application Integration Challenges to solve
10 Understanding Converged Infrastructures The secret sauce behind cloud systems Includes SaaS, IaaS and PaaS We need to first understand these constructs
11 SaaS- Software As A Service Software centrally hosted in the cloud Examples: Apple icloud, Google Apps, SalesForce
12 IaaS- Infrastructure As A Service Key to converged infrastructure puzzle Example: Vblock from VCE End to End hardware and software stack for implementing cloud based solutions Cloud in a can ready turn key based systems A truly complete end to end tech cloud stack versus partial cloud stack (PaaS)
13 PaaS- Platform as a Service Compute plus solution stack (partial cloud stack) Examples: Flexpod from NetApp, Exalogic from Oracle Not a complete cloud solution more of a reference architecture!
14 Migrating to the Cloud- Considerations How do I migrate my legacy Oracle systems to the cloud? Platform migration challenges Example: Mainframe Oracle to x86 Linux based Oracle Solution: use best in breed technologies to migrate to the cloud and tools to do so.
15 Migrating to the Cloud- Solutions Use software based migration tools from cloud vendors such as VMware and Oracle to export third party Oracle systems to cloud based infrastructure. Example: VMware vcenter Converter, Oracle VM tools.
16 Using VMware to migrate to cloud infrastructure
17 Using Oracle tools for migration to the Cloud Oracle SOA Suite and Oracle Data Integrator provide excellent tools to move legacy Oracle data to the cloud environment. Painless migrations from cross platform to new cloud infrastructure possible with Oracle tools.
18 Oracle Cloud Solutions: Hosting Oracle has public cloud hosting service on demand
19 Oracle Cloud Systems: Vblock from VCE VCE ( provides a cloud infrastructure product called the Vblock which is converged infrastructure
20 Security for Oracle in the Cloud- Considerations Virtualization hypervisor layer needs to be secured! Use product such as vcloud Network and Security from VMware Security even more critical for application, database, and network layers in private/public cloud infrastructures. Don t leave it as an after thought!
21 High Availability in the Cloud for Oracle Use new technologies from VMware and Oracle for HA/DR strategy such as VMware Site Recovery Manager (SRM) and Oracle Data Guard for an end to end cloud data protection solution. TEST, TEST, TEST!
22 Scalability for Oracle in the Cloud As data growth expands exponentially in the next decade, organizations require a method to scale to accommodate tremendous volumes of new and current data! Cloud technologies allow you to scale easier and faster at rapid deployment with less time required Big data promise to offload Oracle environments with tools such as Hadoop and NoSQL can be integrated for processing online data stores for example.
23 Methods to scale for cloud based Oracle systems Horizontal scale/scale out- add new virtual machines, clustering, load balancing, storage tiering Vertical scale/scale up: fatter client servers, add CPU, memory to individual virtual machines, storage performance design for disk layouts
24 Q&A Discussion
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