Blog - Ankit Rana

Design Patterns Simplified: A Practical Guide to Core Principles and Key Patterns (Part-1)

Design Patterns Simplified: A Practical Guide to Core Principles and Key Patterns (Part 1)

Are you looking to simplify your software design and write clean, scalable code? In this first part of my series on design patterns, we’ll dive deep into the basics of Object-Oriented Programming (OOP), explore essential design principles, and lay the groundwork for understanding patterns. From encapsulation to polymorphism, this blog is packed with practical examples (Java included!) that show how OOP principles make your code more flexible and maintainable. We’ll also cover how big companies rely on design patterns to build scalable systems. Whether you’re just starting out or brushing up, this is a great starting point to enhance your software design skills. Stay tuned for the upcoming posts where we’ll explore the most used design patterns in real-world scenarios!

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Designing Resilient APIs: Patterns for Handling Failures in Distributed System

Software Engineering, System Design / 12 minutes of reading

n today’s complex distributed systems, ensuring API reliability is paramount. Learn essential design patterns like circuit breakers, retries, timeouts, and load balancing to handle failures gracefully. Discover the importance of monitoring, logging, and observability for proactive issue resolution. Build robust APIs that can withstand challenges and deliver exceptional user experiences.

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Microservices Deep Dive: Architecting for Scalability and Resilience

Software Engineering, System Design / 21 minutes of reading

This comprehensive guide explores the benefits and challenges of microservices architecture. Learn how to break down monolithic applications into smaller, independently deployable services, and discover essential design patterns like API Gateway, Event Sourcing, CQRS, Saga, Circuit Breaker, Bulkhead, and Retry. Gain insights into best practices for communication patterns, service discovery, fault tolerance, and monitoring. Overcome common challenges like distributed systems complexity, data consistency, testing, performance, and operational overhead. Master the art of microservices architecture with this in-depth exploration.

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From Strong to Eventual: Exploring Consistency Models in Azure Cosmos DB

Software Engineering / 13 minutes of reading

Understanding consistency levels in distributed databases is crucial for balancing data integrity, performance, and availability. This comprehensive guide explores Azure Cosmos DB’s five distinct consistency models: Strong, Bounded Staleness, Session, Consistent Prefix, and Eventual Consistency. Learn how to choose the right consistency level for your application, leveraging Azure Cosmos DB’s flexibility to optimize user experience and system performance.

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Understanding Zero Trust Architecture: Enhancing Security with ‘Never Trust, Always Verify’

Computer Science Engineering, Software Engineering, System Design / 10 minutes of reading

Zero Trust Architecture (ZTA) is a cybersecurity model based on the principle of “never trust, always verify.” It ensures that every user, device, and data packet is authenticated and authorized before accessing network resources. Key principles include explicit verification, least privilege access, micro-segmentation, continuous monitoring, and encryption. Implementing ZTA can enhance security, reduce data breach risks, and improve access control, though it requires significant infrastructure changes and user education. As cyber threats evolve, integrating AI and machine learning with ZTA will be crucial in securing cloud computing, edge computing, and IoT environments.

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Mastering Event-Driven Architecture with Apache Kafka: Harnessing Asynchronous Communication for Real-Time Data Processing

Computer Science Engineering, Software Engineering, System Design / 7 minutes of reading

This comprehensive guide dives into Event-Driven Architecture (EDA) and its champion, Apache Kafka. You’ll learn how EDA fosters scalability, responsiveness, and loose coupling in your systems. As an expert in high-throughput streaming, Kafka empowers real-time data processing. Explore Kafka’s architecture, hands-on tutorials, and best practices to architect, build, and deploy robust event-driven applications.

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