ppt kel 10 dicek ajaisinya free download.pdf
- 1. APPLICATION ARCHITECTURE AND ITS IMPLICATIONS : A CASE STUDY ON ONLINE LEARNING APPLICATION Group 10 3WD1
- 2. OUR GROUP Murnisa Cyntia Ayu 01 02 Fikhri Maheswara Taswandi
- 3. Application architecture is a structural map that provides a guide for designing and building an application. This architecture can define how your software interacts with databases and middleware so that when building an application, every component will interact with each other efficiently. In application architecture, there will be both front- end and back-end services. Front-end development focuses towards user experience, and back-end development focuses on providing access to the data, services, and other existing systems that make the app work. Background
- 4. The foundational theory of Application Architecture BASIC THEORY
- 5. Application architecture is a critical concept in software engineering, defining the blueprint for how software systems are structured. It encompasses the high-level organization of software components, the interactions between these components, and the technologies used to implement them. Application architecture is foundational to achieving essential software qualities such as scalability, maintainability, performance, and security.
- 6. Architectural styles Monolithic Architecture refers to a traditional architectural style where all the components of an application are tightly coupled and run as a single process. Microservices Architecture is a more modern approach that breaks down an application into smaller, independent services. 01 02 Service-Oriented Architecture (SOA) focuses on creating reusable services that can be used across different applications within an organization. SOA aims to promote reusability, flexibility, and integration, particularly in large enterprise environments. 03
- 8. The operations of an application architecture refer to how the components of a system interact, These operations can differ significantly depending on the chosen architectural style. In a Monolithic Architecture, Microservices Architecture, operations are typically straightforward, with all components tightly integrated. In Service-Oriented Architecture (SOA), distributes operations across multiple independent services. Each service operates within its own process, often running on separate serversorcontainers. operations are designed around services that may be reused across multiple applications.
- 10. Monolithic Architecture Microservices Architecture Service-Oriented Architecture offers simplicity in development and deployment. Since all components are integrated into a single application, it is easier to manage and test, particularly in the early stages of development provides significant advantages in terms of scalability and flexibility. Since each service operates independently, it can be developed, tested, deployed, and scaled separately. this allows for quicker iterations and updates, particularly in large teams or complex systems. enhances reusability and integration by using loosely coupled services and standardized communication, allowing organizations to build flexible and adaptable systems.
- 12. Monolithic Architecture Microservices Architecture Service-Oriented Architecture Maintenance Difficulties: Changes in one part affect the whole system, making updates hard. Growing Complexity: Larger codebases are harder to manage, increasing bugs and development time. Scaling Challenges: Scaling requires increasing resources for the entire system, not just one part. Complex Management: Handling interactions between many services can be tough. Increased Latency: More services can slow things down and use more resources. Harder Debugging: Finding and fixing issues is more difficult because problems can span multiple services. Governance Overhead: Managing many services demands robust governance and clear communication protocols. Service Duplication: Poor management can lead to duplicated services and inconsistent data. Complex Dependencies: Coordinating dependencies between services can become challenging.
- 13. Implications of Application Architecture in Online Learning Scalability and Performance: User Experience: Data Management and Security: Online learning platforms must handle peak traffic with dynamic scaling, such as microservices solutions, to avoid crashes. Effective resource management ensures the application remains responsive. A responsive design ensures the platform works well on all devices, boosting engagement and satisfaction. Well-organized architecture enhances navigation, making it easier for users to access courses and resources, improving learning outcomes. Online learning platforms need robust data storage and management to handle large volumes of information efficiently. Effective security measures, including encryption and secure authentication, are crucial to protect user data and comply with regulations.
- 15. Application architecture issues often stem from poor design choices during development, such as using a monolithic architecture. In this approach, all functionalities are tightly coupled, making it hard to scale individual components like the user interface or database. High demand on one part of the system can slow down or disrupt the entire application, limiting performance and flexibility.
- 16. Resolving the Problem Implement proper authentication and authorization protocols, encrypt sensitive data, and follow the principle of least privilege to mitigate security risks. Use a microservices architecture to break the application into smaller, independently scalable components. Employ auto-scaling tools to adjust resources during traffic spikes. 01 02 Enhance performance with caching, load balancing, and database partitioning. Caching reduces database reads, load balancing distributes traffic evenly, and partitioning helps manage workloads effectively 03
- 17. Problem Example in Online Learning Application PROBLEM ANALYSIS
- 18. Online learning apps can struggle during peak hours with slow responses or crashes if they can’t handle high traffic. Latency issues in live video or chat and slow database retrieval can worsen the problem. To improve performance, use a microservices architecture, load balancing, cloud-based auto- scaling, optimize database queries, and implement caching.
- 20. ANY QUESTIONS?