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Feasibility</h2> <div><h3>Preliminary Considerations</h3></div> <div><p> & Feasibility Preliminary Considerationsmedium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*Ba-PGr-e6hdZnoIduRwWcA.jpeg)"></div> </div> </div> </a> </div><h2 id="9d05">Logical Design</h2><p id="9b94">Post the conceptual phase; the design gets a structure. This phase is more detailed, focusing on the system’s data, processes, and interfaces.</p><blockquote id="aa01"><p><b><i>Data Design:</i></b></p></blockquote><ul><li>Database Schema: Outline the database structure, including tables, relationships, keys, and indexes.</li><li>Data Flow Diagrams (DFD): Represent how data moves through the system, showcasing processes, data stores, and data flow.</li></ul><blockquote id="f6e2"><p><b><i>Process Design:</i></b></p></blockquote><ul><li>Pseudocode: A simple, structured way of representing processes or algorithms without using specific syntax.</li><li>Flowcharts: Graphical representations of processes, highlighting the flow of operations and decisions.</li><li>Algorithms: Step-by-step procedure or formula for solving a problem or accomplishing a task.</li></ul><blockquote id="c2ce"><p><b><i>Interface Design:</i></b></p></blockquote><ul><li>User Interface (UI): Design the system’s front-end, focusing on aesthetics, user experience, and accessibility.</li><li>Application Programming Interfaces (APIs): Define the methods and protocols for building and interacting with software applications.</li></ul><div id="4cd6" class="link-block"> <a href="https://readmedium.com/it-system-design-a-comprehensive-guide-principles-of-good-design-d3fbc51fb5be"> <div> <div> <h2>IT System Design: A Comprehensive Guide, Principles of Good Design</h2> <div><h3>Every well-designed building rests upon foundational principles that ensure its stability, functionality, and…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*u6wdd9v4NWetBdRvNJqr2w.jpeg)"></div> </div> </div> </a> </div><h2 id="5732">Physical Design</h2><p id="a060">The last stage in the design process concerns itself with turning the logical structures into physical, actionable items.</p><blockquote id="32cd"><p><b><i>Selecting Physical Resources:</i></b></p></blockquote><ul><li>Servers: Decide on

Options

the type (dedicated, shared, virtual), capacity, and location (on-premise, cloud).</li><li>Networks: Design the network architecture considering factors like speed, redundancy, and security.</li><li>Storage: Determine the storage needs, types (SAN, NAS, DAS), and technologies (SSD, HDD).</li></ul><blockquote id="aba7"><p><b><i>Optimizing for Performance, Availability, and Scalability:</i></b></p></blockquote><ul><li>Performance: Ensure the system responds swiftly to user requests. This can involve load balancing, caching, and efficient database queries.</li><li>Availability: Design the system for maximum uptime. This could involve redundant systems, failover strategies, and regular backups.</li><li>Scalability: Ensure the system can handle growth, be it more users, more data, or more transactions. Techniques might include horizontal scaling, distributed systems, or microservices architecture.</li></ul><blockquote id="a702"><p><b>Designing an IT system is an intricate dance between conceptualizing, structuring, and materializing a solution. Each phase of the design process, from the conceptual to the physical, has its challenges and rewards. Yet, each is crucial in ensuring that the resulting system is robust, efficient, and meets the needs it set out to address.</b></p></blockquote><div id="f2c1" class="link-block"> <a href="https://ai.plainenglish.io/high-level-comparison-artificial-intelligence-vs-machine-learning-bs-deep-learning-vs-data-science-dc4a7e7e94b"> <div> <div> <h2>Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science: A High-Level…</h2> <div><h3>Artificial Intelligence (AI):</h3></div> <div><p>ai.plainenglish.io</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*AQT3vRHsPPRX9RmuRQDJBw.jpeg)"></div> </div> </div> </a> </div><div id="3e9b" class="link-block"> <a href="https://medium.com/@anant3104/subscribe"> <div> <div> <h2>Get an email whenever Anant publishes. Please Subscribe.</h2> <div><h3>Get an email whenever Anant publishes. Please Subscribe. By signing up, you will create a Medium account if you don't…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*wdsPisGXHFDSrT8P)"></div> </div> </div> </a> </div></article></body>

IT System Design: The Design Process : Part 3

This article is part of my IT System Design series, this series has 10 parts, this a 3rd article of this series.

The IT system design process is a systematic and methodological approach to create an efficient and effective IT system. The design process is crucial in ensuring that the final system meets the required specifications, functions reliably, and can be scaled or modified with ease.

Each stage of the design process focuses on refining and specifying the system’s elements.

Conceptual Design

This is the initial phase, where high-level thinking occurs. The system’s primary structure and the main design elements are identified, without delving into intricate details. This is a very high level design thinking.

High-Level Architecture:

  • Define the main components or modules of the system.
  • Identify how these modules interact or communicate.
  • Recognize external systems or databases with which integration might be required.

User Experience Design Components:

  • Usability: Refers to the ease with which users can accomplish their goals when interacting with a system.
  • Accessibility: Ensures that products are usable by people with disabilities.
  • Desirability: Elements like aesthetics and branding which make users want to engage with a design.
  • Findability: Ability for users to navigate and find the content or features they are looking for.
  • Credibility: Ensuring that users trust and believe in what you’re offering.

Design Constraints:

  • Technical Constraints: Hardware limitations, platform restrictions, or specific technologies that need to be employed.
  • Business Constraints: Budget limits, timelines, or any pre-defined business rules.
  • User Constraints: Specific needs or constraints from the user side, like accessibility requirements.

Logical Design

Post the conceptual phase; the design gets a structure. This phase is more detailed, focusing on the system’s data, processes, and interfaces.

Data Design:

  • Database Schema: Outline the database structure, including tables, relationships, keys, and indexes.
  • Data Flow Diagrams (DFD): Represent how data moves through the system, showcasing processes, data stores, and data flow.

Process Design:

  • Pseudocode: A simple, structured way of representing processes or algorithms without using specific syntax.
  • Flowcharts: Graphical representations of processes, highlighting the flow of operations and decisions.
  • Algorithms: Step-by-step procedure or formula for solving a problem or accomplishing a task.

Interface Design:

  • User Interface (UI): Design the system’s front-end, focusing on aesthetics, user experience, and accessibility.
  • Application Programming Interfaces (APIs): Define the methods and protocols for building and interacting with software applications.

Physical Design

The last stage in the design process concerns itself with turning the logical structures into physical, actionable items.

Selecting Physical Resources:

  • Servers: Decide on the type (dedicated, shared, virtual), capacity, and location (on-premise, cloud).
  • Networks: Design the network architecture considering factors like speed, redundancy, and security.
  • Storage: Determine the storage needs, types (SAN, NAS, DAS), and technologies (SSD, HDD).

Optimizing for Performance, Availability, and Scalability:

  • Performance: Ensure the system responds swiftly to user requests. This can involve load balancing, caching, and efficient database queries.
  • Availability: Design the system for maximum uptime. This could involve redundant systems, failover strategies, and regular backups.
  • Scalability: Ensure the system can handle growth, be it more users, more data, or more transactions. Techniques might include horizontal scaling, distributed systems, or microservices architecture.

Designing an IT system is an intricate dance between conceptualizing, structuring, and materializing a solution. Each phase of the design process, from the conceptual to the physical, has its challenges and rewards. Yet, each is crucial in ensuring that the resulting system is robust, efficient, and meets the needs it set out to address.

Development
Web Development
Cloud Computing
React
Object Oriented
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