In this module, we will dive deep into the design of an Instagram-like newsfeed system. You'll start by defining requirements and estimating the capacity needed to handle large-scale traffic and user interactions. From there, we will walk you through API design, storage solutions, and high-level architectural decisions that optimize performance, scalability, and user engagement.

In this module, we will focus on building the architecture for a video streaming service like YouTube or Netflix. From defining functional requirements to estimating capacity and designing APIs, we will cover the key components needed to handle large-scale video uploads, playback, and content delivery. You will also gain insights into media processing pipelines to optimize video streaming performance.

In this module, we will explore the design of a TinyURL-like service, focusing on core functionalities such as link shortening, redirection, and analytics tracking. You will learn how to design robust and scalable APIs for URL generation and resolution, along with capacity estimation techniques to handle large volumes of user-generated links.

In this module, we will cover the design of a rate-limiting system, focusing on controlling traffic and preventing service overload. You'll learn to define and estimate the capacity needed for high-throughput systems while applying various rate-limiting algorithms to ensure fairness and stability across services.

In this module, we will design a messaging system similar to WhatsApp, focusing on the core features of messaging, presence tracking, and media sharing. You will learn how to design APIs that handle both direct and group messaging at scale, while also estimating the system's capacity to support high concurrency and data storage requirements.

In this module, we will dive into the design of a search system, covering everything from query parsing to indexing and ranking. You'll learn to estimate the capacity required for handling high query volumes while designing a distributed architecture that ensures fast and relevant search results.

In this module, we will focus on designing the architecture for a platform like Airbnb, covering critical features such as property listings, bookings, and search functionality. You'll learn to design APIs that ensure availability and scalability while estimating the system's capacity to handle large amounts of user data and transactions.

In this module, we will design a notification system capable of handling high-throughput, real-time alerts across multiple channels. You will learn to define requirements, estimate capacity for mass notifications, and implement a reliable and scalable architecture for event-driven message delivery.

In this module, we will design a distributed logging system for high-throughput environments. You will learn how to build a scalable log collection pipeline, from ingestion and parsing to storage and query services, ensuring efficient log indexing and real-time querying.

In this module, we will provide you with a comprehensive system design template, covering key architectural patterns and design principles. You will explore core components like databases, caching, and load balancing, learning how to scale and design resilient, high-performance systems.

In this module, we will explore key design goals such as scalability, availability, and consistency. You will gain insights into fault tolerance and learn how to implement strategies to ensure reliable, performant systems while understanding the trade-offs between them.

In this module, we will explore networking concepts essential for system design. You'll gain a deep understanding of protocols, IP addressing, and DNS, and learn how to apply these concepts to optimize system performance and reliability.

In this module, we will dive into communication protocols like GraphQL, gRPC, and REST. You will explore how each protocol is used in modern systems and learn best practices for implementing them in a scalable, efficient manner.

In this module, we will explore core database and storage concepts, covering both SQL and NoSQL systems. You'll learn how to select the right storage options for your use case and apply scaling strategies to ensure your databases perform efficiently at scale.

In this module, we will dive deep into caching strategies, including read and write caching. You'll learn when and how to apply these techniques to optimize system performance, reduce latency, and handle large-scale user traffic efficiently.

In this module, we will explore key concepts in cloud computing, logging, and monitoring, focusing on how these technologies influence modern system design. You will learn how to leverage cloud services for scalable systems and track system performance effectively.

In this module, we will address common FAQs related to database indexing, capacity estimation, and popular technologies like Apache Kafka and GraphQL. You will gain practical insights into these concepts and how they fit into modern system design.