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Building Scalable Applications with Java and Spring Boot

Scalability is the ability of an application to handle increased loadu2014whether it's users, data, or trafficu2014without compromising performance. Java, paired with the Spring Boot framework, offers a powerful platform for developing robust and scalable applications, suitable for enterprise-grade solutions and microservices.

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Building Scalable Applications with Java and Spring Boot

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  1. BUILDING SCALABLE APPLICATIONS WITH JAVA AND SPRING BOOT https://nareshit.com/courses/advanced- java-online-training

  2. Introduction Introduction Scalability is the ability of an application to handle increased load— whether it's users, data, or traffic—without compromising performance. Java, paired with the Spring Boot framework, offers a powerful platform for developing robust and scalable applications, suitable for enterprise-grade solutions and microservices. https://nareshit.com/courses/advanced-java-online-training

  3. Why Choose Java and Spring Boot for Scalability? Why Choose Java and Spring Boot for Scalability? Java: Mature, object-oriented, and platform-independent Strong memory management and multithreading support Huge ecosystem and performance optimizations (JVM, JIT) Spring Boot: Simplifies Java-based application development Provides embedded servers (Tomcat, Jetty) Supports microservices architecture and cloud-native design Easily integrates with databases, queues, security, and more https://nareshit.com/courses/advanced-java-online-training

  4. Key Components of a Scalable Architecture 1.Microservices Architecture 3. Load Balancing 2.Stateless Services Design avoid reliance on local memory Helps with horizontal scaling (adding more instances) services to Split large monolithic apps into small, loosely coupled services Each service can scale independently Distribute traffic across multiple server instances Use tools like Nginx, HAProxy, based load balancers incoming or cloud-

  5. Key Components of a Scalable Architecture 7. Load Balancing 6. Caching Mechanisms 4. Database Optimization 5. Caching Mechanisms Split large monolithic apps into small, loosely coupled services Each service can scale independently Split large monolithic apps into small, loosely coupled services Each service can scale independently Handle background tasks with @Async, Spring Batch, or message (RabbitMQ, Kafka) Improves responsiveness and throughput Use Docker to containerize applications Use Kubernetes manage scaling deployment queues to and https://nareshit.com/courses/advanced-java-online-training

  6. Spring Boot Features that Aid Scalability @SpringBootApplication for auto-configuration Spring Actuator for monitoring and health checks Spring Cloud for distributed systems (config server, discovery, circuit breaker) Embedded Servers for easier deployment and scaling

  7. Performance Tuning Tips Use connection pools and set proper thread pool sizes Monitor and profile memory usage (JVM tuning, garbage collection) Set appropriate timeout and retry configurations Use tools like Prometheus, Grafana, or ELK Stack for observability https://nareshit.com/courses/advanced-java-online-training

  8. Conclusion Building scalable applications with Java and Spring Boot is highly effective due to their robust ecosystems, modularity, and cloud readiness. By combining best practices in architecture, design, and infrastructure, developers applications that grow with user demand while maintaining performance and reliability. can create https://nareshit.com/courses/advanced-java-online-training

  9. THANK YOU! CONTACT US +91 8179191999 support@nareshit.com https://nareshit.com/courses/advanced-java- online-training 2nd Floor, Durga Bhavani Plaza, Ameerpet, Hyderabad, 500016. Ameerpet Branch : Ground Floor,

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