Overview of SystemInfrastructure
System infrastructure refers to the foundational components and
technologies that support the operation, management, and maintenance of
IT systems within an organization. It includes:
• Hardware: Physical devices such as servers, storage systems, networking
equipment, and client devices.
• Software: Operating systems, applications, and management tools that
enable system functionality.
• Network: Connectivity solutions that facilitate communication between
devices and systems, including both local and wide area networks.
• Data Management: Systems for storing, processing, and securing data,
including databases and data warehouses.
• Security Measures: Protocols and technologies designed to protect the
system from unauthorized access and threats.
3.
Importance of aWell-Designed System
A well-designed system infrastructure is crucial for several reasons:
• Efficiency:
– Streamlines operations and processes, reducing downtime and enhancing productivity.
– Optimizes resource allocation, ensuring that hardware and software are used
effectively.
• Scalability:
– Supports growth by allowing the system to expand easily as organizational needs
change.
– Facilitates the addition of new users, applications, or services without significant
reconfiguration.
• Reliability:
– Ensures consistent performance and availability, which is vital for business continuity.
– Implements redundancy and failover mechanisms to minimize the impact of failures.
4.
Cont..
• Security:
– Protectssensitive data and resources through robust security measures.
– Reduces vulnerabilities and enhances compliance with regulatory
requirements.
• Cost-Effectiveness:
– Reduces operational costs by minimizing inefficiencies and optimizing
resource usage.
– Helps avoid expensive downtime and costly security breaches.
• User Satisfaction:
– Provides a reliable and responsive user experience, leading to higher
satisfaction and productivity.
– Facilitates better communication and collaboration through effective
network infrastructure.
5.
Definition of aSystem
A system is a collection of interrelated components or subsystems that work together
to achieve a common objective. It is designed to accept inputs, process them, and
produce outputs through organized transformation processes. Systems can vary in
complexity and can be physical or abstract in nature.
• Components of a System
• Inputs: Resources or data fed into the system for processing.
• Processes: The activities or transformations that occur within the system to convert
inputs into outputs.
• Outputs: The final products or results produced by the system.
• Feedback: Information that is returned to the system to help adjust and improve its
functioning.
• Boundaries: The limits that define what is included in the system and what is
external to it.
• Environment: The context or surroundings in which the system operates, including
external influences.
6.
Examples of DifferentTypes of Systems
• Transportation System:
– Definition: A network of vehicles, routes, and infrastructure designed for moving
people and goods.
– Components: Vehicles (cars, buses, trains), roads, railways, and airports.
– Objective: To facilitate efficient travel and freight movement.
• Accounting System:
– Definition: A structured process for recording, summarizing, and reporting
financial transactions.
– Components: Ledgers, accounting software, financial statements, and audit trails.
– Objective: To ensure accurate financial reporting and compliance with
regulations.
• Information System:
– Definition: A system for collecting, processing, storing, and disseminating
information.
– Components: Hardware (servers, computers), software (applications, databases),
and networks.
– Objective: To support decision-making and improve organizational efficiency.
7.
Cont…
• Production System:
•Definition: A set of processes and resources involved in producing goods
or services.
• Components: Machinery, labor, raw materials, and production schedules.
• Objective: To convert inputs into finished products efficiently.
• Healthcare System:
• Definition: A network of institutions, professionals, and resources that
deliver medical services.
• Components: Hospitals, clinics, medical personnel, and health insurance
providers.
• Objective: To improve health outcomes and provide care to patients.
• Ecological System:
• Definition: A biological community interacting with its environment.
• Components: Organisms (plants, animals), habitat, and environmental
factors (climate, soil).
• Objective: To sustain life and maintain ecological balance.
8.
Types of Systems
1.Physical vs. Abstract Systems
• Physical Systems:
– Definition: Tangible entities consisting of physical components that can be seen and
touched.
– Examples:
• Transportation Systems: Buses, trains, and road networks.
• Manufacturing Systems: Machinery and assembly lines in factories.
– Characteristics:
• Can be static (e.g., buildings) or dynamic (e.g., moving vehicles).
• Involves hardware that operates within defined physical parameters.
• Abstract Systems:
– Definition: Conceptual or non-physical entities that represent relationships or processes.
– Examples:
• Mathematical Models: Formulas and algorithms that describe relationships between variables.
• Software Systems: Programs and applications that manage data and perform tasks.
– Characteristics:
• Focuses on ideas, theories, or concepts rather than tangible components.
• Often used for analysis, simulation, or planning.
9.
Cont..
2. Open vs.Closed Systems
• Open Systems:
– Definition: Systems that interact with their environment, allowing for the exchange of inputs and
outputs.
– Examples:
• Information Systems: Software that adapts to user needs and external data.
• Ecosystems: Natural systems that exchange energy and matter with their surroundings.
– Characteristics:
• Highly adaptable to changes in the external environment.
• Continuous flow of information and resources in and out of the system.
• Closed Systems:
– Definition: Systems that are isolated from external influences and do not exchange information or
resources with their environment.
– Examples:
• Some Industrial Processes: Production lines designed to operate independently of outside changes.
• Theoretical Models: Mathematical systems that do not consider external variables.
– Characteristics:
• Limited interaction with the environment; often more stable but less flexible.
• Focuses on internal processes and outputs without external input.