Why migrate SQL Server to Amazon Aurora MySQL?
Running SQL Server databases in an on-premises environment could potentially present customers with a multitude of challenges like increasing license and maintenance fees or the need to upgrade from older versions to avoid compliance problems. However, 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 service 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 SQL Server to Amazon Aurora MySQL / Amazon RDS MySQL, and the 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), and 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 RDS and Aurora and the many flavors of database servers that can be supported here.
Key questions to ask:
- What is your current database and infrastructure technology and what is the appropriate match in AWS?
- What 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?
DB Best can help answer these questions, 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 which gives us a profile of each workload environment such as CPU, RAM, etc. We also gather performance metrics over a period of time using our agentless DBMSys software. In Addition, we work with our customers to understand the business needs/restrictions of each workload to determine a list of potential candidates that can be moved to the cloud.
Migrating away from your current data solution
Traditionally, this means 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.
DB Best Architects are trained to spot these patterns and discuss with the customer another approach that may be a better fit or be able to leverage 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. 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, extract data and upload data to the Snowball Edge and send it back to Amazon for completing the data import process during your data warehouse migration to AWS.
DB Best Architects are trained to help you configure the Snowball Edge. We’ll also help extract and 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, and 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 or Amazon RDS. 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 the 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 move your on-premises databases to AWS RDS, Amazon Aurora, and Amazon Redshift.
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Experts in AWS Migrations
DB Best has unique expertise that covers the migration of SQL Server 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 SQL Server 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 SQL Server to Amazon Aurora MySQL 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 SQL Server to Amazon Aurora, DB Best uses the automated tools they have developed to help accelerate cloud adoption. One of the featured tools we often employ is the 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. 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 SQL Server to Amazon Aurora, and helps to minimize downtime during the migration process. DB Best works with the customer DBAs to strategically plan the migration and optimize capabilities on AWS.
These tools help DB Best automate migration from SQL Server to Amazon Aurora by analyzing all of the applications that interface with the SQL Server database to confirm data conversion. DB Best’s unique approach and methodology also adhere to 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).
See how we can orchestrate the transformation of your data, leveraging simple, flexible, and cost-effective AWS Glue ETL service.
Comparing two production databases for migration or an upgrade? Now you can do this with one powerful and simple tool that every DBA and database developer needs.
DB Best has developed hundreds of applications for customers using the MySQL platform. Our team can help you with new solutions, operational support or moving your applications to the cloud.
We have a great set of blog posts and data sheets 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.
Using PostgreSQL in cloud alongside with Oracle to enhance the database system performance
Using AWS Snowball Edge to transfer multiple terabytes of data into the Amazon cloud
First look at AWS Schema Conversion Tool with tighter DMS integration
Using AWS Schema Conversion Tool for Application Conversion