AWS Partner Network (APN) Blog
Tag: MySQL
Migrating 50,000 MySQL Databases to Amazon Aurora with Futuralis
Large-scale database migrations are difficult, have multiple phases, and are time-consuming. Customers want a simpler way to achieve large-scale migration with little to no downtime. Learn how Futuralis helped their customer migrate more than 50,000 MySQL databases hosted on an Amazon EC2 server to Amazon Aurora relational database using AWS and native MySQL tools. The customer had MySQL version 5.5 hosted on EC2 with more than 50,000 databases with 1.5 million tables and hundreds of millions of records.
How to Integrate VMware Cloud on AWS Datastores with AWS Analytics Services
Running virtual machines with databases or datastores on VMware Cloud on AWS lets you use the same management tools and VMs as on your on-premises VMware vSphere environment. You can easily extend these workloads to the cloud and take advantage of AWS on-demand delivery, global footprint, elasticity, and scalability. Learn how VMware Cloud on AWS brings these datasets closer to AWS Analytics Services, making it easier to use services to draw meaningful insights from business data.
Team Up with AWS Partners Validated by Database Engine Type Through the Amazon RDS Service Delivery Program
Amazon RDS customers are looking for AWS Partners with specific database engine expertise to set up, operate, and scale relational databases in the cloud. To meet this need, we are relaunching the Amazon RDS Service Delivery Program, which now validates AWS Partners by database engine type. This allows customers to identify an Amazon RDS Partner that best meets their database engine-specific migration and implementation needs.
Advanced Connection Pooling with the Heimdall Proxy
As databases are often a key component of internet infrastructure, IT departments may be challenged by poor connection management from the application. The Heimdall Proxy helps developers, database administrators, and architects horizontally scale out and optimize connections through connection pooling for Amazon Amazon RDS and Amazon Redshift without any application changes. As a result, you will reduce your database instance size and support higher user counts.
AWS Service Ready Helps Customers Find Tools and Products Integrated with Amazon RDS
The Amazon RDS Ready Program makes it easy for AWS customers to find products and solutions that integrate with Amazon RDS database engines including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. Amazon RDS Ready Partners provide tooling for Amazon RDS adoption in areas like migration, performance, governance, and monitoring. They also support the use of the Amazon RDS platform as a back-end for applications deployed within a customer’s AWS account.
Say Hello to 34 New AWS Competency, MSP, and Service Delivery Partners Added in January
We are excited to highlight 34 APN Partners that received new designations in January for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
Say Hello to 41 New AWS Competency, MSP, and Service Delivery Partners Added in September
We are excited to highlight 41 APN Partners that received new designations in August for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
Using the Heimdall Proxy to Split Reads and Writes for Amazon Aurora and Amazon RDS
Horizontally scaling a SQL database involves separating the write-master from read-only servers. This allows the write server to perform dedicated write operations rather than processing redundant read queries. However, writing to one node and reading from another can result in inconsistent data due to synchronization delays. Heimdall Data offers a database proxy to help developers and architects achieve optimal scale from their Amazon RDS and Amazon Aurora environment without any application changes.