Infrastructure as a Service (IaaS)

Definition

Infrastructure as a Service (IaaS) is a cloud computing model that provides virtualized computing resources over the internet. IaaS allows businesses to rent IT infrastructure, such as servers, storage, and networking, on a pay-as-you-go basis, which offers flexibility and scalability. This model is particularly beneficial for Business Intelligence (BI) applications, as it allows organizations to quickly scale their infrastructure to meet changing data processing needs without the burden of maintaining physical hardware.

5 Must Know Facts For Your Next Test

1. IaaS enables companies to avoid upfront hardware costs by using virtual machines hosted in the cloud.
2. Users can quickly provision and de-provision resources based on demand, enhancing operational agility.
3. Security and maintenance responsibilities are shared between the cloud provider and the customer, allowing businesses to focus on core activities.
4. IaaS is often used for data storage, backup solutions, and disaster recovery plans.
5. This model supports various BI tools that require significant computational power for data analysis and reporting.

Review Questions

• How does IaaS enhance scalability for businesses using BI applications?
  • IaaS enhances scalability for businesses by allowing them to quickly increase or decrease their infrastructure resources based on current needs. For BI applications, this means that organizations can allocate additional computing power during peak analysis periods without the long lead times associated with traditional hardware procurement. As data volume fluctuates, IaaS ensures that businesses can adapt their IT resources efficiently to maintain performance.
• Discuss the shared responsibility model in IaaS regarding security and maintenance.
  • In IaaS, the shared responsibility model indicates that while the cloud provider is responsible for securing the underlying infrastructure, customers are tasked with managing security for their applications and data. This means that organizations must implement their own security measures, such as firewalls and encryption, while relying on the provider for physical data center security and network management. This collaboration is vital for safeguarding sensitive information in BI environments.
• Evaluate how adopting IaaS could transform a company's approach to data analysis and decision-making processes.
  • Adopting IaaS could significantly transform a company's approach to data analysis by providing immediate access to powerful computing resources without heavy investments in hardware. This shift allows companies to process large datasets more efficiently, facilitating real-time analysis and quicker decision-making. Additionally, IaaS supports various BI tools that require substantial processing power, enabling organizations to uncover insights from their data faster and make informed decisions based on current information rather than outdated reports.

Related terms

Cloud Computing:

A technology that allows users to access and store data and applications over the internet instead of on local servers or personal computers.

Virtualization: The creation of a virtual version of physical hardware, allowing multiple operating systems to run on a single physical machine.

Pay-as-you-go: A pricing model that charges users based on actual consumption of services rather than a flat fee, making it cost-effective for businesses.