We all know that what variety and amount of data we are generating 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 complexity of data estates and especially when it is hosted on-premises.
People who keep on building intelligent and new age applications can find themselves challenged by various limitations that can ultimately impact their performance and experience. Also, people who are running with large databases are constantly in anxiety of downtime and threats. AWS RDS is great for some of the needs right from large databases to experimental database for your pilot projects.
While running large database there are five main concerns of all enterprises. If we consider AWS RDS for your large databases, then your all concerns would easily get addressed without any hassle.
1. Availability
Amazon RDS provide high availability through Multi Availability Zone deployment to maintain a redundant database with 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 synchronous replication method.
2. Scalability
Amazon RDS has got two different types of automatic scaling: horizontal (adding more parallel machines) and vertical (adding more resources). RDS is equipped with a load balancer to evenly distribute increased demand of database. Additionally, the CPU and storage can scale independently in a particular database instance. This provides immense benefits to customers for scale-up and scale-down. Another group of RDS family “Amazon Aurora Serverless” got 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 the standard security of AWS, also includes extensive security measures like IAM, Amazon VPC using which you can isolate a particular database instance and connect to infrastructure with an encrypted VPN. Within the RDS engine there are different levels or kinds of security may be specific compliance or any 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. Using Amazon CloudWatch allows users to better monitor performance and form metrics so you can get a clearer view of your business.
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 greater 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 price for active instances only. You can reserve instances for long periods of time and receive a discount. Additionally, you can pause database instances for a full week if necessary.
Reduced Human Resources:
You need not dedicate a human resource to monitor your health of database. Most of the heavy lifting of DBA activities includes in AWS RDS services. Many of databases require 24X7 monitoring which use to attract at least three shifts of Database Support Team/s.
Written By,
Abhinav Abhishek
Solutions Director, Rapyder Cloud Solutions
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