In today's technology landscape, distributed systems are found everywhere, powering everything from e-commerce platforms, social networks to financial services. The distributed systems architecture allows businesses to scale their operations and handle massive amounts of data, but it also poses unique challenges in terms of scalability, availability, performance, security, manageability, and observability.

In this blog series, I will cover various topics in distributed systems including:

• Scaling principles: Replication and Optimization
• Distributed systems architecture
• Problems in distributed systems: Partial failure and Time
• Scaling application services: Horizontal scaling and Load balancing
• Distributed caching, Asynchronous messaging
• Distributed database: Eventual consistency and Strong consistency
• Event-driven processing, Stream processing

The goal of this series is to provide a comprehensive overview of scalable distributed systems, covering both the theory and practical applications. Whether you are a software engineer, a data scientist, or a technical manager, this series will provide valuable insights into the design and implementation of your distributed systems.