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Migrating Oracle Middleware Workloads to AWS

 

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Scalability & Reliability

Rapid cloud adoption was critical for platform scalability and reliability to enable horizontal/vertical scaling, leveraging built in IaaS capabilities and benefiting from vendor provided SLAs.

Geo-resilience

To fulfil global service requirements, the client needed geographic resilience to deliver applications across 2 separate geo locations, that are highly available with zero-downtime and no outages.

Cost reduction

Under constant pressure to reduce costs, the organisation wanted to cut costs on the order of 20-30%, by migrating workloads to the cloud.

European Telecom Provider

The Case

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Rubicon Red worked with one of the largest Telecom Service Providers in Europe, who were embarking on a cloud transformation program, to help them migrate their on-premises Oracle Middleware workloads to the cloud, specifically to Amazon Web Services (AWS).


The business critical middleware platform supports order management for pre and post-paid services providing integration between key systems including service orders, order fulfilment and customer care and handling. The platform enables real-time SMS notification to customers of their account status and order confirmation, processing 300K messages per day.

Business Drivers 

  • Scalability and reliability - Rapid cloud adoption was critical to deliver platform scalability and reliability to enable horizontal and vertical scaling, leveraging built in IaaS capabilities and benefiting from IaaS vendor provided SLAs.
  • Geo-resilience - With the need to fulfil global service requirements, the client needed geographic resilience to deliver applications across 2 separate geo locations, that are highly available with zero-downtime and no outages.
  • Cost reduction - Under constant pressure to reduce costs, the organisation wanted to cut costs on the order of 20-30%, by migrating workloads to the cloud.

Challenge

  • Aging, brittle platform - With an aging, on-premise Oracle Middleware platform, the environment was very brittle, comprising many different versions and configurations.
  • Complex environments - The large scale deployment consisted of multiple, complex on-premise environments spanning test, pre-prod and production environments.
  • It was their first time! - The client had never done this before. They realised that setting up DevOps from scratch was going to be difficult and they recognised they needed help.

The Solution

Automation was key to the rapid delivery of the solution in the cloud, migrating all the on-premise workloads to AWS. Implementing DevOps was key - everything is automated from provisioning of compute and the database and installing the Oracle-based middleware workloads.

Deployed on AWS, the compute instances automatically run across multiple availability zones. This means, the client did not have to worry about planning physical data centres - geo-resiliency, scalability and reliability are built-in to the AWS platform. The solution leverages 10 AWS services.

The provisioning and deployment process was fully automated using deployment pipelines and built-in approval chains. Rubicon Red Myst was used to automate the migration - provisioning like for like Oracle middleware environments onto AWS.

Today, the platform supports three different versions - Oracle Fusion Middleware 12.1.3, 12.2.1.2, 12.2.1.4. Ultimately, everything will be upgraded to 12.2.1.4 (12c).

Results

Rubicon Red proudly partnered with this large European Telecom Provider and another local European AWS Partner to migrate this mission critical solution to the cloud. The solution is an important part of their digital transformation, improving overall stability and supportability, supporting faster deployments and reducing ongoing costs.

  • Improved stability and supportability - Automation and DevOps means patches can be rolled out more regularly, improving stability, supportability and reliability as the platform is on latest supported versions.
  • Time savings from faster deployments - The solution delivered significant time savings from the automated approach vs a manual approach. Each new environment was delivered end to end within 4-8 hours, what otherwise would have taken weeks or months per environment.
  • Cost savings - Cost savings resulted from managing less of the data centres directly. Once the AWS costs are factored in, the solution results in a much lower overall cost.

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