Common Pain Points
• Difficult to calculate metrics and understand what is really used
• What edition/options are used and why?;
• Ongoing purchasing of unused software;
• Licensing requirements regularly changing;
• A continual threat of a complex audit.
• Daily admin (e.g: Provisioning, Backups, Software patching, Monitoring,etc...), and hardware scaling is time-consuming;
• Scaling up/down is complex, with risk;
• Security is a constant issue;
• Long and complex procurement cycles
• High upfront hardware cost;
• Expensive maintenance;
• DR / redundant offsite DRC is costly.
• Data centre hosting charges;
• Oracle license cost;
• Operating system and hypervisor;
• Cost of shelf-ware;
• IT staff time and productivity.
Oracle on AWS
For most businesses, the proportion of business hours per week that can actively use Oracle DB or Apps are only about
Therefore, how can enterprises optimize the operation cost? By moving legacy Oracle databases and applications to AWS cloud, you can minimize this waste of maintenance and operation cost for your business. FPT and AWS Cloud bring a proven capability to make this a reality for you.
* According to “Best practice for Running Oracle Database on AWS”.
How Can FPT and AWS Cloud Help?
• Retire or redeploy to existing or new systems;
• Identify where Oracle Enterprise Editing is truly needed. Move others to more cost effective Standard edition.
• Move capability to run on latest platforms;
• Target older hardware for more powerful cores/ faster storage
Improve Development and Test Effort
• Enhance Development and Test Effort with ability to scale up/down quickly and effectively
Databases and data warehouses
• Build strategy and roadmap for databases and data warehouses
• Enable future projects with key capabilities: strategic database; open-source engines
• Leverage managed services where optimal, in order to drive further efficiencies.
FPT’s Success Stories
Asian Consumer Goods Co.
Oracle relational database to AWS’ Redshift because performance was too slow, and would worsen in future:
- Complete re-architecting of systems to adapt to AWS infrastructure;
- Performance gain of 5X, with a range of 2X to 10X across applications;
- Cost was reduced by 3X;
Move disaster recovery and development into the Cloud:
- DR via Amazon Virtual Private Cloud;
- Oracle Ent. Linux on Amazon EC2, utilizing multiple Amazon Elastic Block for database storage;
- Dev/Test set up in 12 hrs vs. previous 1 month;
- DR mgmt is 40 hrs annual less;
Move all on-premises DB to AWS:
- Entirely migrate Oracle SQL and relational DB to new cloud DB;
- Critical project target was speed of transition;
- Migrated entire system/DB from on-prem to cloud in a 5 hour maintenance window;
- Target to reduce cost by 90% is on track;