#microservices (45)
- gRPC vs REST: Complete Comparison 2026
Comprehensive comparison of gRPC and REST - features, performance, pros & cons, and when to use each for modern API communication.
- Modern Systems Engineering: From Apps to Architectures
Learn how small applications evolve into large-scale architectures using timeless engineering principles, covering distributed systems, scalability, resilience, and AI integration.
- Understanding Monolith to Distributed Systems Architecture
Learn to identify the challenges driving architectural shifts and grasp the core principles for evolving monolithic applications into resilient distributed systems.
- Scaling with Reverse Proxies and API Gateways
Explore how reverse proxies and API gateways are fundamental for scaling and securing modern distributed systems, including their application in AI/agentic workflows.
- Choosing Synchronous or Asynchronous Service Communication
Learn to choose between synchronous and asynchronous communication patterns in distributed systems to build scalable, resilient, and performant applications.
- Retries, Timeouts, Circuit Breakers for Resilient Systems
Learn to implement retries, timeouts, and circuit breakers to build robust, fault-tolerant distributed systems, including those for AI/agent workflows.
- Decoupling Services with Message Queues and Asynchronous Workflows
Explore how message queues and asynchronous workflows decouple services, enhance scalability, and build resilient distributed systems. Learn core concepts, practical applications, and common pitfalls.
- Build Reactive & Scalable Systems with Event-Driven Architectures
Understand event-driven architecture fundamentals and practical patterns to design and build reactive, scalable, and resilient systems that adapt to change.
- Enhance Microservices with the Sidecar Pattern for Common Tasks
Implement the Sidecar Pattern to enhance microservices with auxiliary processes for logging, monitoring, and security, boosting operational efficiency.
- Caching, Data Consistency, & Distributed Transactions for Scale
Design resilient, high-performance distributed systems by effectively applying caching, data consistency, and distributed transactions.
- Modern Systems Engineering Guide (2026)
Master modern systems engineering for software developers. Learn timeless principles, practical patterns, and AI workflows to evolve applications into scalable, resilient, large-scale architectures.
- Designing Scalable AI Systems: An Architectural Guide
Learn to design robust, scalable, and production-ready AI-powered applications, covering pipelines, orchestration, microservices, distributed architectures, and modern AI trends.
- Case Study: Architecting a Real-time Recommendation Engine
Learn to design a scalable, real-time recommendation engine using microservices, event-driven architecture, and distributed AI principles with practical examples.
- Designing AI APIs: Seamless Integration for Intelligent Services
Learn how to design robust, scalable, and secure APIs for AI-powered applications, covering integration patterns, communication protocols, and best practices for intelligent services.
- Build Real-time AI Systems with Event-Driven Architectures
Learn to design scalable, real-time, and resilient AI applications by implementing event-driven architectures with message brokers and decoupled services.
- Architecting AI Systems with LLMs, Generative AI, and Agents
Learn to design and integrate scalable, trustworthy AI systems that leverage Large Language Models, Generative AI, and multi-agent orchestration patterns.
- Microservices for AI: Architecting Modular & Scalable Components
Dive into microservices for AI, learning how to design modular, scalable, and resilient AI-powered applications. Explore patterns for integrating ML models and agents.
- Orchestrating Complex AI Workflows and Multi-Agent Systems
Learn how to design and implement robust orchestration for complex AI workflows and multi-agent systems, enhancing scalability and reliability.
- Designing Scalable AI Systems
Learn to design scalable AI applications covering pipelines, orchestration, microservices, and distributed architectures with real-world examples.
- Learn Distributed System Design from Netflix's Architecture
Learn how Netflix evolved its architecture from monolith to microservices, enabling you to design scalable, fault-tolerant distributed systems.
- Netflix Architecture: Strategic Trade-offs for System Design
Understand Netflix's core architectural trade-offs and strategic decisions to build robust, scalable, and resilient distributed systems for your own projects.
- Authentication, Authorization, and Identity Management
Learn how Netflix likely handles authentication, authorization, and identity management across its vast microservices architecture, ensuring security and user access control at global scale.
- Content Ingestion and Encoding Pipeline
Explore how Netflix ingests vast amounts of content, processes it through sophisticated encoding pipelines for adaptive bitrate streaming, and prepares it for global distribution.
- How Netflix Builds Scalable and Resilient Systems
Readers will understand Netflix's distributed system architecture, including its microservices, cloud infrastructure, and fault tolerance strategies for extreme scale.
- Microservices Foundation: Service Discovery and Orchestration
Dive into the microservices architecture of Netflix, exploring its foundations in service discovery with Eureka, API Gateway with Zuul, and circuit breakers with Hystrix for robust, scalable systems.
- Hystrix, Circuit Breakers & Chaos Engineering for Resilience
Learn to build highly resilient distributed systems using fault tolerance patterns like Circuit Breakers, Hystrix, and Chaos Engineering.
- Scaling Netflix: Elasticity, Load Balancing, and Autoscaling
Explore how Netflix achieves massive scale and high availability through cloud elasticity, intelligent load balancing, and sophisticated autoscaling strategies on AWS.
- The User's Journey: A High-Level Request Flow
Explore the high-level request flow a user's interaction takes within the Netflix architecture, from client device to content delivery, understanding the role of CDNs, API Gateways, and microservices.
- Understanding Netflix's Architecture
Explore the intricate architecture and engineering marvels behind Netflix. This guide delves into its microservices, cloud infrastructure, and content delivery.
- Void Cloud Practical Field Guide
Embark on a comprehensive journey to master Void Cloud from the ground up, covering foundational concepts, practical application, and advanced production-ready strategies for modern applications.
- Distributed Services and Event-Driven Architectures on Void
Readers will learn to design, build, and deploy scalable distributed services and event-driven architectures using Void Cloud's managed services for resilient applications.
- 17. Project 3: Deploying a Microservices Architecture
Learn how to design, implement, and deploy a scalable microservices architecture on Void Cloud, covering independent services, API gateways, and inter-service communication.
- Advanced Architectures for Face Recognition
Explore advanced architectural patterns for building scalable, high-performance face recognition systems, integrating conceptual UniFace toolkit capabilities within modern cloud-native designs.
- Designing Resilient Distributed Systems with Node.js
Learn to design, build, and maintain scalable, resilient distributed systems using Node.js, covering inter-service communication, fault tolerance, and observability.
- Debugging Distributed Systems: Latency, Consistency, and Faults
Understand how to diagnose and resolve complex issues like latency, consistency, and fault tolerance within distributed systems using observability tools.
- 3. Under the Hood: Testcontainers and Docker
Dive deep into how Testcontainers works by exploring its interaction with Docker, including container lifecycle, network isolation, and solving real-world testing challenges.
- Why Testcontainers Simplifies Integration Testing
Understand how Testcontainers solves common integration testing problems by creating realistic, disposable Docker-based environments for reliable software validation.
- Test Spring Boot Microservices with Testcontainers Integration
Learn to build and integration test Spring Boot microservices using Testcontainers to create realistic environments for databases and message brokers.
- Scaling and Deployment: From Prototype to Production
Learn how to scale and deploy AI customer service agents from prototype to production, covering essential architectural patterns and cloud strategies.
- How JSON Web Token Authentication Works Internally
Readers will understand the complete lifecycle of JWT authentication, covering token generation, cryptographic security, validation, and secure application use.
- Python in Distributed Systems & Architecture
Exploring how Python is used in distributed systems and architectures, covering concurrency models and system design challenges.
- Angular System Design Mock Interview
Learn how to architect large-scale enterprise applications using Angular with micro-frontends, state management, and performance optimizations.
- Learn Docker: Build & Deploy Production Applications Confidently
Learn Docker from basic concepts to advanced deployment, enabling you to confidently build, secure, and optimize containerized applications for production.
- Initializing the Spring Boot 3.3 Project
Learn how to initialize a new Spring Boot project and create a basic REST endpoint.
- Docker Networking
Learn Docker networking fundamentals, including network drivers and user-defined bridge networks for efficient container communication.