dbSeer has the expertise and experience to properly design your AWS architecture. Amazon RDS, a MySQL and PostgreSQL- compatible relational database, provides speed and availability along with simplicity and cost-effectiveness. dbSeer has helped various customers use RDS by building highly available application stacks and migrating existing on-premise databases to take advantage of a managed database service. dbSeer will work with you to understand the financial value of using AWS and guide you through the process of migrating your applications.
Amazon RDS for PostgreSQL
dbSeer’s Proven Success with Amazon RDS Projects
Abt Associates
dbSeer architected and designed a consolidated data warehouse built on modern AWS architecture, specifically using Amazon Redshift, S3, and RDS. With these tools, dbSeer was able to integrate 10 data sources into the data platform, giving all authorized employees near real-time access to data across the organization, leading to more optimal business decisions.
Subject 7
Subject 7 created a no-coding, cloud based automated testing solution for web and mobile applications. We migrated their platforms to AWS and reduced their costs by nearly 45%. Read more about the project in this case study.
AWS Advanced Consulting Partner
dbSeer is an AWS Advanced Consulting Partner
with a team of AWS-certified experts.
What is Amazon RDS for PostgreSQL?
Amazon Relational Database Service (Amazon RDS) allows customers to set up, operate, and scale their relational database in the cloud. With Amazon RDS, administrative tasks like hardware provisioning, database setup, patching, and backups are automated, allowing you to focus on your applications. Amazon RDS provides cost-efficient and resizable capacity without having to change the initial database engine. PostgreSQL is an open source relational database, and one of the six familiar database engines that Amazon RDS users can choose from (the others being Amazon Aurora, MySQL, MariaDB, Oracle, and Microsoft SQL Server). The applications, code, and tools you use with your existing databases can be integrated with Amazon RDS.
Amazon RDS for PostgreSQL provides you with direct access to a familiar PostgreSQL database software running on your own Amazon RDS database instance.
What are the benefits of Amazon RDS for PostgreSQL?
- Easy, Managed Deployments:
- AWS provides pre-configured parameters, advanced monitoring and metrics, DB event notifications, and automatic software patching
- Fast, Predictable Performance:
- You can choose between Amazon RDS General Purpose (SSD) storage or Provisioned IOPS (SSD), which provisions up to 16 TB storage and 40,000 IOPS per database instance
- Backup and Recovery:
- Automated backups allow for point-in-time recovery for your DB instance and DB Snapshots are user-initiated backups of your DB instance
- Push-Button Scaling:
- You can scale the compute and memory resources of your deployment up or down using Amazon RDS APIs and provisioning extra storage can be done with zero downtime
- Replication:
- Multi-availability zone deployments protect your latest database updates against unplanned outages and read replicas makes it easy to elastically scale out beyond the capacity constraints of a single DB Instance for read-heavy database workloads
- Isolation and Security:
- You can encrypt your PostgreSQL databases using keys you manage using AWS Key Management Service (KMS) and using Amazon VPC, you can isolate your DB Instances in your own virtual network