Sharing our technical experience with the readers, we've reached a pretty impressive audience on our blog. So, it was pretty easy to distinguish the most popular AWS Database Migration...
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. We are a leader 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 the expertise to help 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:
DB Best 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 DBMSys software. 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 DB 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 DB Best, 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 a 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. DB Best has worked with Amazon in exposing a Snowball Edge configuration option in the Schema Conversion Tool. With this feature, you can hookup a Snowball Edge device to your on-premises database. Then you can leverage AWS Schema Conversion Tool to extract data and upload data to the Snowball Edge. After completing the data extraction, you send the Snowball Edge back to Amazon for proceeding the data import process during your data warehouse migration to AWS.
DB Best Architects are trained to help you in configuring the Snowball Edge, in extracting and helping you complete the data transfer much faster.
Building an AWS stack with multiple layers can be time-consuming and error prone
DB Best’s architects can help you in automating the entire stack creation process leveraging AWS’s CloudFormation templates using command line scripts. These scripts take few command line parameters and setup your VPC, subnets, ELB, Aurora clusters, RDS & EC2 instances, databases, Auto-scaling groups, creating S3 buckets and uploading data, database restores and health checks.
We support the AWS Database Migration Service (DMS), and was an early adopter of the AWS Schema Conversion Tool (SCT). We have helped hundreds of customers successfully migrate to Amazon Aurora. No other partner is as uniquely qualified to help your organization streamline its database migration projects with our 12-step migration methodology. Below are some examples of how DB Best can help you cost-effectively accelerate cloud adoption.
Looking to upgrade your old MySQL, PostgreSQL, Oracle, and SQL Server databases or move them to AWS? Our Data Management Optimization (DMO) for AWS service provides you with recommendations and an ROI model for your digital transformation initiatives.
Trust the experts with the best knowledge of AWS DMS and the Schema Conversion Tool (SCT) to help with AWS database migration by moving your databases to AWS RDS, Amazon Aurora, and Amazon Redshift.
Everyone is talking about the need for a digital transformation, but how do you get there? See how our future-state architecture design can use cutting edge technology to meet your organization’s needs.
Improving performance and reducing costs with Aurora PostgreSQL
Increase in license fees leads to cloud adoption
One example of a DB Best 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 DB Best to help them achieve these goals.
DB Best analyzed the customer’s existing architecture and proposed to migrate and merge these applications on AWS, replacing Oracle. Using the AWS SCT, DB Best migrated nearly 20,000 stored procedures, more than 15,000 functions, 1,500 views, and 2,200 datatypes.
Improved query time by nearly 400x
DB Best developed a PaaS-based solution on AWS that enabled the customer to extend the functionality of their applications without having to manage the infrastructure. This 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 DB Best 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.
DB Best leveraged the AWS platform for this customer to meet requirements such as automatic scaling, performance, and storage.
Experts in AWS Migrations
DB Best 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 (SCT) 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 PostgreSQL Migration
This architecture diagram provides a general overview of the DB Best database migration process.
Automated tools accelerate cloud adoption
To help our customers migrate from Oracle to Amazon Aurora, DB Best uses various automated tools. Actually, we are the developers of many of these tools, which help accelerate cloud adoption. One of the featured tools we often employ is the AWS Schema Conversion Tool (SCT). We use it to compile statistics from the source database and make recommendations on finetuning. The AWS SCT also helps 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.
DB Best also has expertise using the AWS Database Migration Service (DMS) 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. Also, the AWS DMS helps minimize downtime during the migration process. DB Best works with the customer DBAs to strategically plan the migration and optimize capabilities on AWS.
These are the tools that we helped Amazon build or built ourselves to help automate migration from Oracle to Amazon Aurora by analyzing all of the applications that interface with the Oracle database to confirm data conversion.
DB Best’s unique approach and methodology include performance testing and benchmark metrics they have developed to deliver project success.
We are the only AWS partner who can say we've migrated more databases to AWS RDS, Amazon Aurora, and Amazon Redshift than any other partner in the world using AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT).
LEVERAGING YOUR EXISTING INVESTMENTS IN MIGRATION TECHNOLOGIES
Data integration tools play a big part in the successful migration of Oracle databases to PostgreSQL. Ideally, you want to minimize the changes to your data integration processes. We have extensive experience in the following platforms.
Check out our Oracle Golden Gate technology solutions to facilitate real-time data integration, replication, transformations, and verification in heterogeneous IT environments.
Using Informatica solutions we can integrate your data from existing on-premises systems to the cloud, big data, and IoT systems smoothly and cost-effectively. Our solution architects will migrate the data accelerating time to value for your business goals.
Learn how we can integrate your data from existing on-premises systems to the cloud, big data, and IoT systems leveraging IBM Datastage solutions. With our experience, you can to migrate your data really quickly.
Discover how we can help you use Attunity solutions to integrate your data from existing on-premises systems to the cloud, big data, and IoT systems within a short period of time. DB Best can flawlessly replicate your data between different types of databases and handle any data changes.
We offer a fast and cost-effective way to connect. Clean and share cloud and on-premises data using the architecture that easily scales to respond to growing business requests.
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.
Are your DBA's stretched thin? Offload your IT needs to a dedicated team with industry-proven processes and world-leading tools and products.
Check out the database consulting services we have used to help customers like you get the most out of their database platform.
Nowadays DevOps services are an integral part of any agile application development life cycle. Our fine-tuned DevOps processes help customers automate application development stages, improve the code quality, minimize downtime, and eliminate errors.
We have a great set of blog posts and datasheets to help you better understand our capabilities as the leader in database migration services and prove out possibilities and expertise in moving workloads to AWS Aurora or RDS.
Although some of these blog posts are related to migrating to MySQL to Amazon Aurora, the concepts and methods are the same for PostgreSQL.
One of the leading independent software vendors in educational domain needed to expand their original Oracle database system. They wanted to add a new PostgreSQL database running on AW...
One of the main concerns during large-scale database migrations to the cloud is how long will the data transfer last. When you need to move multiple terabytes of data, the migration pr...
On December 20 2016, Amazon released version 1.0.502 of AWS Schema Conversion Tool (SCT). SCT now provides the integration with Data Migration Service (DMS) and allows you to create ...
Welcome to the very first blog post on getting started with the AWS Schema Conversion Tool (SCT). This is the first video in a series of many where we’ll help familiarize our readers...
A typical database migration project includes not only the schema conversion and data migration but also the application remediation. We are talking about one or many applications inte...
Reference data sheet
You may feel frustrated with high licensing costs and lackluster performances of your relational databases? Do you have some security worries about your data environment? Still won...
Reference white paper
Check out our new ebook on migrating Oracle databases to Amazon Aurora PostgreSQL.
If your organization is heavily invested in a legacy Oracle database environment, you may be confronted with rising license renewal and support/maintenance costs for outdated technolog...