AWS and AI: How Amazon Is Building the Future of Artificial Intelligence
Explore how Amazon is shaping the AI landscape — from Nova foundation models and Bedrock marketplace to Q assistants, custom Trainium chips, and AI-powered robots.
AI, coding, automation, and building products — creating the future.
35 articles
Explore how Amazon is shaping the AI landscape — from Nova foundation models and Bedrock marketplace to Q assistants, custom Trainium chips, and AI-powered robots.
Discover how Amazon went from selling books online to building the world's largest cloud platform. The story of AWS — from idle servers to 200+ services powering Netflix, NASA, and millions of startups.
A beginner-friendly guide to business rules engines and IBM ODM (Operational Decision Manager). Learn why companies externalize business logic, how ODM's four components work together (Decision Center, Decision Server, Rule Designer, BOM/XOM), how to integrate ODM with Spring Boot via REST, and when to use alternatives like Drools or Easy Rules instead.
A beginner-friendly deep dive into three pillars of production-grade applications: resilience patterns (rate limiting, circuit breakers, bulkheads), event-driven messaging with Kafka and Spring Events, and DevOps observability with Prometheus, Grafana, ELK, and Zipkin.
A comprehensive guide to caching strategies and Redis for Java developers — covering Spring Cache annotations, Redis data structures, multi-tier caching (Caffeine + Redis + Database), cache patterns (Cache-Aside, Write-Through, Write-Behind, Read-Through), TTL, eviction policies, and production-ready Spring Boot configuration.
A beginner-friendly guide to building microservices with Spring Cloud — covering API Gateway, Eureka service discovery, Config Server, Resilience4j circuit breakers, load balancing, Feign clients, WebClient, distributed tracing with Micrometer and Zipkin, and inter-service authentication.
A beginner-friendly guide to six essential Java design patterns — Strategy, Factory, Builder, Observer, Decorator, and Template Method — with real-world analogies, working code examples, and clear guidance on when to use each one.
A comprehensive guide to Spring Data JPA covering ORM concepts, entity mappings, relationships, the N+1 problem with solutions, derived queries, JPQL, native SQL, transaction isolation and propagation, Flyway migrations, and database indexing strategies.
A complete guide to Spring Security and JWT authentication — covering the filter chain, JWT token flow, BCrypt password hashing, SecurityFilterChain configuration, method-level security with @PreAuthorize, OAuth2 basics, CORS, CSRF protection, and RBAC.
A beginner-friendly guide to Spring Boot fundamentals — application lifecycle, IoC container, dependency injection, annotations cheat sheet, N-Tier architecture, DTOs with records, global exception handling, and validation with @Valid.
A comprehensive guide to Java's evolution from version 8 to 24 — covering lambdas, streams, records, sealed classes, virtual threads, pattern matching, and every major feature that changed how we write Java.
A complete guide to building AI-powered Java applications with Spring AI — covering ChatClient, prompt templates, structured output, RAG, function calling, advisors, chat memory, embeddings, multi-modality, and provider configuration.