We all know the variety and amount of data we generate today; in this data-driven world, our digital life increasingly depends on our ability to manage massive amounts of data and harness its potential at max. It also brings in the complexity of data estate, especially when hosted on-premises.
People building intelligent and new-age applications can be challenged by various limitations that ultimately impact their performance and experience. Also, people running with large databases are constantly anxious about downtime and threats. AWS RDS is excellent for some of your needs, from large databases to experimental databases for your pilot projects.
While running an extensive database, there are five main concerns of all enterprises. If we consider AWS RDS for your large databases, all your concerns will quickly be addressed without hassle.
1. Availability
Amazon RDS provides high availability through Multi-Availability Zone deployment to maintain a redundant database with a copy of your data in a separate location. The Multi-AZ SLA guarantees a database uptime of at least 99.99%. Also, failovers can be managed with minimum latency using a synchronous replication method.
2. Scalability
Amazon RDS has two types of automatic scaling: horizontal (adding more parallel machines) and vertical (adding more resources). RDS has a load balancer to distribute the increased database demand evenly. The CPU and storage can also scale independently in a particular database instance. This provides immense benefits to customers for scale-up and scale-down. Another group of the RDS family, “Amazon Aurora Serverless,” got an auto-scaling configuration to scale compute capacity as per demand.
3. Security
We have been hearing about multi-layer security. But AWS surpasses all, beyond AWS’s standard security, and includes extensive security measures like IAM and Amazon VPC. You can isolate a particular database instance and connect it to infrastructure with an encrypted VPN. Within the RDS engine, different levels or kinds of security may be specific compliance or enhanced security needs. The automated patching and security monitoring provides the most without engaging any DBA.
4. Performance
More than having real-time performance insights out of dashboards, predefined alerts make it easier for users to analyze and troubleshoot the performance of their relational databases. Amazon CloudWatch allows users to monitor performance and form metrics to understand their business better.
Two types of storage providing high throughput and scalable enough
- General Purpose Storage gives as a baseline 3 IOPS for every provisioned GB.
- Provisioned IOPS storage offers incredible speed. Users can specify their desired IOPS rate, up to 80,000 IOPS for each RDS instance.
5. Cost
AWS Fee:
You need to pay the price for active instances only. You can reserve instances for long periods and receive a discount. Additionally, you can pause database instances for a whole week if necessary.
Reduced Human Resources:
You need not dedicate a human resource to monitor the database’s health. Most of the heavy lifting of DBA activities includes AWS RDS services. Many databases require 24X7 monitoring to attract at least three shifts of Database Support Team/s.
Written By,
Abhinav Abhishek
Solutions Director, Rapyder Cloud Solutions
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