Why is it important to manage a relational database system in the cloud?
Cloud database systems help to give businesses a more versatile way to handle relational database functionality. It's convenient to be able to rely on a vendor's offsite hardware for relational database – but this in turn takes its own kind of management and administrative responsibility.
It's important to manage a relational database system in the cloud because the data that is supporting database transactions is coming from diverse places. Whether that cloud provider is a single tenant or multitenant provider, managing relational database operations in the cloud is going to be different than it is for on-premise systems. An on-premise system is an open box – it’s easily observed by those on the premises and often supported by in-house efforts. By contrast, database operations supported in the cloud can be inscrutable and enigmatic to stakeholders.
One of the fundamental reasons that companies put effort into cloud relational database management is so that they can avoid “resources crunch.” In some cases, companies can end up with underperforming relational database systems – cloud systems create bottlenecks, data in transit is not efficiently handled, and the whole architecture gets bogged down, having a negative effect on business processes.
Good cloud relational database management means that in-house people will be assisted by a smart system that understands the “desired state” for a relational database system, and works to provide easy scalability, elasticity and high availability for systems. That means handling dynamic demand and peak time pressure. It means being able to securely grow the company as customer additions and other changes balloon the relational database to enormous volumes. It means having a performance system that is always capable and ready to respond to demand.
Those who are managing a relational database system in the cloud will often break down license and compute costs, and the costs of handling relational database with vendors, to understand true costs and handle them individually. They'll also inspect the use of resources like CPU and memory to make sure that everything they're investing in is being used efficiently. Having a level of automation in cloud relational database management helps companies to feel more confident about return on investment for what they have put into a set of business processes.
More Q&As from our experts
- What are the current and future AWS adoption trends to pay attention to?
- What key business continuity solutions can my business take now?
- How can businesses solve the challenges they face today in big data management?
- Relational Data Model
- Cloud Communications
- SQL Agent
- CPU Bottleneck
- Performance Management
- Cloud Computing
- Distributed Computing System
- Cloud Provider
- Subscription-Based Pricing
- Cloud Portability
Tech moves fast! Stay ahead of the curve with Techopedia!
Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia.
- Data Governance Is Everyone's Business
- Key Applications for AI in the Supply Chain
- Service Mesh for Mere Mortals - Free 100+ page eBook
- Do You Need a Head of Remote?
- Web Data Collection in 2022 - Everything you need to know
- How to Protect Microsoft 365 from NOBELIUM Hackers
- 5 Steps to Streamline Security for your Hybrid Network