Migrate Oracle to Amazon Aurora PostgreSQL

Are you planning to migrate Oracle to Amazon Aurora PostgreSQL or RDS PostgreSQL? You can rely on our expertise with database migrations to AWS to move your Oracle database into the Amazon cloud within a short period of time.

Why migrate Oracle to Amazon Aurora PostgreSQL?

Running Oracle databases in an on-premises environment presents customers with many challenges. They include increasing license and maintenance fees, as well as the need to upgrade from older versions to avoid compliance problems. Growing companies require cost-effective databases that are fast enough to keep pace with their expanding business, and enable automated processes to replace time-consuming administrative tasks.

Modernized cloud database solutions can help address these issues. You can rely on our expertise in database cloud migration, data services management, application modernization, and delivery of solutions for new services such as analytics and the Internet of Things (IoT).

We have helped customers of all sizes successfully migrate Oracle to Amazon Aurora PostgreSQL. And what’s even more important, we know how to optimize performance following cloud adoption.

We are ready to guide you through the entire migration process and help optimize your Amazon Aurora environment after cloud adoption. Together we will establish a solid database foundation on Amazon Web Services (AWS). We can leverage our unique expertise to help you integrate a wide range of AWS services and increase business flexibility.



Determining which Database and infrastructure technology is a best fit in AWS

There are many approaches to database technology in AWS from infrastructure EC2 to managed Aurora/RDS and the many flavors of database server that can be supported here.

The key here is understanding these points:

  • What is your current database and infrastructure technology and what is the appropriate match in AWS?
  • Which resources do you have to support your database technology in AWS? Is Aurora, RDS, or EC2 the correct approach?
  • What is your HA/DR approach and can it be mapped to AWS
  • What is your data egress and ingress and how will that affect your charges

ABCloudZ can help you evaluate your current workload and direct you to the best technology in the AWS.

Choosing which workloads to move to the cloud

We take a data-centric approach to determine which workloads are most appropriate for the cloud. We start with data collection that gives us a profile of each workload environment such as CPU, RAM, etc. Also, we gather performance metrics over a period of time using our agentless in-house tools. We also work with our customers to understand the business needs and restrictions of each workload. Then we determine a list of potential candidates that can be moved to the cloud.

Migrating away from your current data solution

Traditionally, this means that a switch from one data platform to another. However, just switching the nameplate on the back end database server may not be the best solution. Some data patterns and use cases may have a better fit for a NoSQL or Data Lake solution.

At ABCloudZ, our architects are trained to spot these patterns, we would then have a discussion with the customer about the best approach for them. We even can consider the possibility of leveraging new technology such as IoT devices.

How can I migrate terabytes of data to the Amazon cloud?

Imagine you have an 80 TB database that needs to be extracted and imported into AWS Redshift or Aurora database. Normally, it would take up to several weeks for extracting and migrating such databases over the internet. In this case, you may leverage a Snowball Edge device to extract data from your on-premises database, upload it to the Snowball Edge and send it back to Amazon for completing the data import process during your data warehouse migration to AWS.

ABCloudZ architects have the experience to help you configure the Snowball Edge. Working together, we can extract and help you in completing the data transfer much faster.

Building an AWS stack with multiple layers can be time-consuming and error prone

Our certified solutions architects can help you in automating the entire stack creation process with AWS CloudFormation templates using command line scripts. These scripts take few command line parameters and setup your VPC, subnets, ELB, Aurora clusters, EC2 and RDS instances, databases, auto-scaling groups, creating S3 buckets and uploading data, database restores and health checks.

Getting started

ABCloudZ has unique expertise that covers the migration of Oracle databases to the Amazon cloud. We can leverage automation tools like AWS Database Migration Service along with the Schema Conversion Tool to help you migrate databases and applications to AWS in a short period of time. With unparalleled experience in Oracle databases, we are ready to help you develop cost-effective strategies for migrating and modernizing your application assets to AWS technologies.

Architectural overview of the Oracle to Amazon Aurora MySQL Migration

This architecture diagram provides a general overview of the ABCloudZ database migration process.

This architecture diagram provides a general overview of the ABCloudZ Migrate Oracle to Amazon RDS Aurora PostgreSQL process

Automated tools accelerate cloud adoption

To help our customers with Oracle to Amazon Aurora migrations, ABCloudZ uses the automated tools like AWS Schema Conversion Tool (SCT), which is used to compile statistics from the source database, make recommendations on finetuning, and perform analysis to forecast how Amazon Aurora can be optimized for a customer. The AWS SCT identifies potential problem areas during migration planning, determines the possible effects on the schema conversion process, and creates a strategy to validate the data.

ABCloudZ also has expertise using the AWS Database Migration Service to help customers move their databases to the cloud quickly and securely. The AWS DMS supports migrations between different database platforms, such as moving from Oracle to Amazon Aurora, and helps to minimize downtime during the migration process. ABCloudZ works with the customer DBAs to strategically plan the migration and optimize capabilities on AWS.

Our unique approach and database migration methodology include performance testing and benchmark metrics we have developed to deliver consistent project success. Below are some examples of how ABCloudZ can help you cost-effectively accelerate cloud adoption.

Improving performance and reducing costs with Aurora PostgreSQL

Increase in license fees leads to cloud adoption

One example of a ABCloudZ success story can be found in a customer that works with higher education institutions to deliver student success in 40 countries around the world. This customer was facing an increase in licensing fees and limited scalability options in their current IaaS environment. Moving to a PaaS offering would address these challenges.

The customer’s legacy architecture included separate applications, all being run on-premises, with an Oracle database back end. They did not want to expand their Oracle licensing obligations and incur additional costs. Also, they were seeking increased flexibility and wanted to develop data warehousing and big data analytics. So, they decided to work with ABCloudZ to help them achieve these goals.

ABCloudZ analyzed the customer’s existing architecture and proposed to migrate and merge these applications on AWS, replacing Oracle. Using the AWS SCT, we migrated nearly 20,000 stored procedures, more than 15,000 functions, 1,500 views, and 2,200 datatypes.

Improved query time by nearly 400x

ABCloudZ developed a PaaS-based solution on AWS that extended customer applications’ functionality without changing the infrastructure. This approach allowed the customer to continue to innovate and increased their responsiveness to the needs of the institutions they serve. It also fostered an environment of rapid application development and scalability.

As a result, all of the customer’s data now resides on AWS, in a more flexible environment with greater capacity for future analytics workloads. The AWS-based architecture that ABCloudZ helped this customer migrate to has helped them reduce query execution times by nearly 400x (from 33 minutes to under five seconds), and enabled them to greatly cut the amount of time spent on application development cycles.

ABCloudZ leveraged the AWS platform for this customer to meet requirements such as automatic scaling, performance, and storage.

Supporting your PostgreSQL RDS Aurora solutions after the migration

As part of our migration project, we offer training, support, consulting, and managed services for your PostgreSQL solutions on Amazon Aurora or RDS. If you don’t want to go through the hassle of maintaining the day-to-day operations of your databases and applications, be sure to check out our Operational Data Management service.