Your Scalable and User-Friendly Database in the Cloud
AWS offers fully managed databases with proven operational excellence and performance trusted by customers for their generative AI applications. AWS has been running managed databases for hundreds of thousands of customers, longer than any other cloud provider, with a track record of high performance, security, availability, and reliability at global scale. With a comprehensive portfolio of relational and purpose-built database engines, AWS supports any workload or use case enabling agility and cost optimization. AWS investments in innovation advance the database experience including serverless which instantly scales with an application’s demand while removing need to manage capacity, multi-Region replication which delivers local performance for a globally distributed user base, zero-ETL which provides integrated data management capabilities, native vector databases capabilities which powers your generative AI use cases, and more. By choosing AWS Databases as your foundation, our innovation accelerates your innovation, so you are ready for what is next.
Benefits
At Aspire, when implementing Amazon RDS, we offer Infrastructure as Code and support for third-party monitoring tools and migration services. Also, many other notable benefits are included out of the box.
Scalability
Scale databases up and down horizontally and vertically based on your demand.
Cost Effectiveness
No upfront investment is needed. Pay only for what you need.
Flexibility
AWS RDS supports different kinds of database engines, including open-source engines.
Data Safety
Multiple forms of backup are available. You can also set up automatic backups.
Data Recovery
There are options for point-in-time recovery.
Data Security
There are options for password restriction and database encryption.
The Aspire Difference
Aspire offers notable expertise in AWS RDS implementation. Here’s why to go with Aspire Systems.
- Round the clock monitoring and operations support
- Migration Services — replatform, rehost, and relocate from on-prem to RDS and vice-versa
- Proficiency with all prime database engines like MySQL, Oracle, Postgres, MariaDB and MS SQL
- Proactive with reactive performance tuning
- User administration and security management
- Profound expertise in running Managed database services on major cloud platforms such as AWS, GCP, and Azure
- Zero-touch provisioning, management, and deprovisioning using Infrastructure as Code tools
- Experienced with AWS native and third-party monitoring tools like Dynatrace, ManageEngine, SolarWinds etc.
- AWS certified experts to offer best-in-class RDS services and solutions
Supported Database Engines
Use Cases
Web-Based and Mobile-Based Applications
Amazon RDS is popularly used in the back-end of web and mobile applications. It supports varying user patterns of these apps based on the maximum number of input and output operations. AWS RDS also provides ready future expansion.
Web-Based and Mobile-Based Games
Amazon RDS is used to provide the high-performance database solutions that game development requires, both mobile and online.
SaaS Applications
The scalability, pay-as-you-go model, and compatibility of Amazon RDS provide a great appeal for SaaS applications.
Business Analytics
RDS’ reliability plays a big part in it being heavily used in business analytics. Its cost effectiveness and high availability are other reasons for its popularity.
Medical and Banking Compliance
Because of the high sensitivity of medical and banking applications, RDS’ managed services features like encryption, audit trails, and access controls make it favorable to meet compliance requirements.
Our RDS Delivery Roadmap
Pre-Deployment
Preparation and planning are done at this stage. An identification of the inter-dependencies between the application and the database is done and the workload of the database is analyzed to determine the appropriate migration strategy and instance sizing on RDS.
A suitable migration strategy is identified keeping in mind constraints and resource requirements.
Deployment
This phase involves designing the target database and data migration and validation.
Other actions undertaken include running the AWS Schema Conversion tool, making required application changes, running functional and performance tests, implementing suitable cutover strategies, and pointing applications to the newly migrated databases during downtime.
Post-Deployment
After successful database migration to RDS, post-deployment checks are performed to ensure the optimal performance of the RDS instance.
These tests ensure backups are present and confirm high availability and disaster recovery if required. They also test monitoring & alerting mechanisms and performance management.
Case studies
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