Cost-effective cloud migration
Case Study: SQL Server to Oracle in AWS
Location
Industry
Employees
RK Service
Product mix: AWS, Oracle, SQL Server
A Baltimore based aerospace and astronomy research non-profit supporting NASA initiatives relied on legacy SQL Server databases hosted on-premises to manage its Deltek and Costpoint enterprise applications. As their infrastructure aged, the organization sought to modernize its data environment, improve scalability, and reduce on-premise maintenance costs by migrating to Oracle in AWS..
The client's DBA team was highly experienced with SQL Server but had limited exposure to Oracle or AWS cloud architecture.
The planned migration introduced challenges including:
I was brought in to architect, plan, and guide the full migration from SQL Server on-prem to Oracle in AWS. The engagement included:
Throughout the process, I also coached the DBA team on Oracle operations and AWS best practices, empowering them to manage and maintain the environment independently after migration.
data integrity, zero downtime
via right-sized AWS resource
by query and config tuning
RKKoranteng brings automation, agility, and practical learning into one accessible service.
Streamline builds, releases, and maintenance with proven DevOps tools and scripts that eliminate manual effort.
Train your DBAs and engineers through real-world labs and guided exercises that mirror production challenges.
Implement agile workflows, sprint ceremonies, and automation practices that align database work with business delivery.
After years of supporting enterprise-scale databases, I saw talented teams stuck fighting the same battles - slow deployments, manual scripts, and a constant struggle to align database work with agile delivery.
So I built a service model that makes database management simpler, faster, and smarter - combining automation, training, and agile coaching into one powerful solution.
reduction in deployment time through automation
faster onboarding with hands-on learning
agile adoption across database teams