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1.
Networks
In this module, you will delve into the crucial role that networks and their methodologies such as CDN and Load Balancing play in designing and implementing robust and scalable systems. Networks form the backbone of modern computing infrastructure, facilitating communication between devices, services, and users.
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2.
Caching
This module explores the critical role of caching in system design, focusing on techniques and technologies that enhance performance and scalability. Caching mechanisms like Redis play a pivotal role in optimizing data access and system responsiveness. Understanding caching principles and eviction policies is essential for architects and engineers aiming to design efficient and high-performing systems.
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3.
Queues
This module explores the critical role of queues in system design, focusing on their ability to manage asynchronous tasks, decouple services, and enhance system scalability and reliability. Understanding queueing principles and implementation strategies is essential for architects and engineers aiming to design efficient and responsive systems.
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4.
Protocols
This module covers the essential role of protocols in system design, focusing on their importance in enabling reliable and secure communication across networks and systems. Understanding protocols such TCP , UDP , HTTPS along with websockets etc. is crucial for architects and engineers to ensure interoperability and efficient data exchange in modern computing environments.
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5.
Concurrency
This module explores concurrency in system design, emphasizing the management of parallel tasks and thread-based execution. Concurrency allows systems to handle multiple operations simultaneously, enhancing performance and responsiveness. .
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6.
Databases
This module dives into databases in system design, focusing on key concepts such as sharding, the CAP theorem, and ACID transactions. Databases are fundamental for storing and managing data in modern systems, and understanding these concepts is crucial for architects and engineers to design scalable, reliable, and efficient database architectures.
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7.
Architectural Patterns
This module explores essential architectural patterns in system design, with a focus on web sessions, Command Query Responsibility Segregation (CQRS), and serialization. These patterns provide structured approaches to handling user sessions, separating read and write operations, and managing data representation and transfer.
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8.
Large Scale System Design
This module addresses the principles and practices involved in designing large-scale systems, focusing on scalability, reliability, and performance. Designing systems at scale requires architects and engineers to consider distributed architectures, fault tolerance, load balancing, and efficient data management strategies.
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9.
Software Architecture
This module covers the core principles of software architecture, focusing on designing scalable, maintainable, and efficient software systems such as Microservices Event Driven and Multi Driven Architecture. It explores architectural patterns, design decisions, and methodologies crucial for creating robust and high-quality software solutions.
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10.
Big Data for System Design
This module introduces the integration of big data principles into system design, focusing on strategies for efficiently handling and processing large datasets. Understanding big data concepts such as storage, processing frameworks, and analytics tools is essential for architects and engineers to design scalable and high-performance systems capable of leveraging extensive data resources effectively.
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11.
Introduction to Operating Systems
This module introduces the role of operating systems in managing computer hardware and software resources, covering processes, threads, and basic memory management principles.
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12.
Process Management
Focuses on process lifecycle management, including scheduling algorithms to optimize CPU utilization and enhance system responsiveness.
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13.
Memory Management
Covers virtual memory concepts, allocation strategies, and memory protection mechanisms to efficiently manage system memory.
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14.
File Systems
Explores different file system structures, file operations, and access control mechanisms crucial for data organization and security.
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15.
I/O Systems
Examines I/O device management, scheduling algorithms, and techniques to optimize input/output operations for various devices.
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16.
Security and Protection
Discusses security threats, access control models, and encryption methods implemented by operating systems to protect data and resources.
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17.
Distributed Systems and Networking
Introduces principles of distributed operating systems, network protocols, and their role in managing communication and resource sharing across networks.
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18.
Real-Time and Embedded Systems
Covers real-time operating systems (RTOS), embedded systems, and their specialized requirements for handling time-sensitive tasks and resource constraints.
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19.
Operating System Design Principles
Examines design principles and architectures of modern operating systems, including case studies of major OS platforms.
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20.
Emerging Trends and Future Directions
Explores current trends such as cloud computing, virtualization, and future challenges in operating system design and development.