Real-Time Data Streaming: Architectures and Patterns
Learn real-time streaming architectures like Lambda, Kappa, CDC, and event sourcing. Understand when to choose streaming over batch processing.
·7 min read · #data-engineering#streaming#kafka
#architecture
31 posts · page 1 of 1
Microservices Architecture: Patterns, Trade-offs, and Pitfalls
An honest look at microservices vs monoliths. Learn service communication, API gateways, database-per-service, distributed tracing, and how Amazon's migration shaped the industry.
·10 min read · #system-design#microservices#architecture
Airflow Architecture Explained: Components and Executors
Understand the architecture of Apache Airflow -- Scheduler, Web Server, Metadata Database, Executors, and Workers -- and learn which executor fits your workload.
·17 min read · #airflow#architecture#intermediate
Kafka Architecture Explained: Brokers, Replication, and KRaft
A detailed look at Kafka's internal architecture — broker clusters, KRaft consensus, replication protocols, partition leadership, log segments, and how they combine to deliver fault tolerance at scale.
·15 min read · #kafka#architecture#intermediate
Astro Islands Architecture: Patterns and Anti-Patterns
Advanced island patterns in Astro: when to hydrate, how to share state between islands, mixing frameworks, lazy loading strategies, and mistakes that kill performance.
·8 min read · #astro#islands#hydration
AI Agent Architecture: Tools, Memory, and Planning
Learn how to build AI agents with tool use, memory systems, and planning capabilities using Python and LLMs for autonomous task completion.
·10 min read · #ai-agents#tool-use#memory
Monolith vs Microservices: Architecture Decision Guide
Compare monolithic and microservices architectures with real decision criteria, migration patterns, and code examples to help you choose the right approach for your project.
·9 min read · #backend#architecture#microservices
AWS Well-Architected Framework: Five Pillars Explained
Master the AWS Well-Architected Framework's five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization.
·11 min read · #aws#well-architected#architecture
Caching Strategies: Write-Through, Write-Back, and TTL
Understand the major caching strategies for backend systems. Compare write-through, write-back, write-around, and cache-aside with real-world trade-offs.
·8 min read · #backend#caching#redis
JavaScript Design Patterns Every Developer Should Know
Learn the most useful JavaScript design patterns with practical examples including Singleton, Observer, Factory, Strategy, and more for cleaner code.
·9 min read · #javascript#design-patterns#architecture
Django Multi-Tenancy: Shared Database Schema Patterns
Implement multi-tenancy in Django using shared database schemas — tenant models, middleware, filtered QuerySets, and data isolation.
·6 min read · #django#multi-tenancy#architecture
The Decorator Pattern in JavaScript
Learn the Decorator pattern in JavaScript -- wrap functions and classes to add logging, caching, validation, and retry logic without modifying original code.
·6 min read · #javascript#design-patterns#decorators
JavaScript Module Federation Explained
Understand Module Federation for micro-frontends -- share dependencies at runtime, load remote modules dynamically, and compose independent apps into one.
·6 min read · #javascript#module-federation#micro-frontends
Dependency Injection in Python Without a Framework
Learn how to apply dependency injection in Python using constructor injection, factory functions, and simple containers -- no framework required.
·5 min read · #python#dependency-injection#architecture
Python Design Patterns: Strategy, Factory, and Observer
Learn how to implement the Strategy, Factory, and Observer design patterns in Python using idiomatic constructs like first-class functions and protocols.
·5 min read · #python#design-patterns#oop
React Server Components: Architecture Patterns That Scale
Practical architecture patterns for React Server Components including composition strategies, data flow boundaries, and migration approaches for production apps.
·7 min read · #react#server-components#architecture
CQRS Explained: Command Query Responsibility Segregation
Learn how CQRS separates read and write models for better scalability. Covers architecture, implementation patterns, and when CQRS is worth the complexity.
·7 min read · #system-design#cqrs#architecture
Event Sourcing Explained: Architecture and Trade-offs
Understand event sourcing fundamentals, how it differs from CRUD, when to use it, and the real-world trade-offs you need to consider before adopting it.
·7 min read · #system-design#event-sourcing#architecture
AI Agents vs Pipelines Explained
Understand the difference between AI agents and AI pipelines, when to choose each, and how to design systems that combine both for reliability and flexibility.
·5 min read · #ai#agents#pipelines
CQRS vs Event Sourcing
CQRS and event sourcing are often mentioned together but solve different problems. This post separates them, shows how they combine, and when each is worth the complexity.
·4 min read · #backend#cqrs#event-sourcing
Monolith vs Microservices: A Pragmatic Comparison
Compare monoliths and microservices across team size, deploy cadence, complexity, and operational overhead to choose the right architecture.
·3 min read · #backend#architecture#microservices
GraphQL Federation: A Practical Overview
Understand Apollo Federation: subgraphs, the gateway, entity references, and when to choose federation over a monolithic GraphQL schema.
·3 min read · #graphql#federation#apollo
GraphQL Resolver Patterns Explained
Compare resolver patterns in GraphQL: thin resolvers, service layers, DataLoader batching, and error handling that scales.
·4 min read · #graphql#resolvers#dataloader
GraphQL vs REST Tradeoffs
An honest comparison of GraphQL and REST: where each one shines, where each one hurts, and how to choose without religion.
·5 min read · #graphql#rest#api
Grounding vs RAG: What's the Actual Difference?
RAG and grounding are often used interchangeably but they describe different techniques. Here is how to tell them apart and when each one matters.
·4 min read · #llm#rag#grounding
Node EventEmitter Patterns
EventEmitter is the backbone of Node. Here are the patterns that make it useful in real systems and the mistakes that turn it into a footgun.
·5 min read · #node#events#patterns
RAG vs Fine-Tuning: Which One Should You Use?
A practical comparison of RAG and fine-tuning, with guidance on when to choose each, and when to combine them in production systems.
·4 min read · #rag#fine-tuning#llm
React State Colocation Patterns: Where State Should Actually Live
A practical guide to deciding where state belongs in a React app, with patterns for lifting, colocating, and splitting state for performance and clarity.
·4 min read · #react#state#architecture
Event-Driven Architecture: The Pragmatic Introduction
What event-driven architecture really gives you, when to choose it, and the operational realities of running asynchronous systems at scale.
·5 min read · #system-design#event-driven#architecture
Message Queues: Kafka vs RabbitMQ (When to Pick Which)
A senior-engineer comparison of Kafka and RabbitMQ: log vs queue semantics, throughput, ordering, retention, and the real selection criteria.
·5 min read · #system-design#kafka#rabbitmq
System Design Interview: A 7-Step Framework
A repeatable 7-step framework for system design interviews. Clarify, estimate, API, data model, high-level, deep dive, bottlenecks — with concrete examples for each step.
·5 min read · #system-design#interview-prep#career