100% OFF- Secure Coding in Spring Boot: Real-World Coding Guide

Secure Coding in Spring Boot: Real-World Coding Guide, Secure endpoints, handle failure gracefully, and scale your system like a pro. Build systems that survive load & failure.
Course Description
Secure Coding with Spring Boot: Build Resilient, Scalable & Secure Systems
Modern backend development is no longer just about writing business logic. Today’s systems must survive failures, scale under pressure, and protect sensitive data from constant threats. Whether you’re building APIs, microservices, or distributed systems – your architecture must be secure, fault-tolerant, and production-ready.
This course is built for backend developers who are serious about writing robust, secure, and scalable code with Spring Boot. You will not only learn how to implement security features but also why they matter – and how they keep real-world systems alive.
We’ll explore proven architecture patterns, cutting-edge libraries, and battle-tested best practices that are critical in high-performance, cloud-native environments.
All implementations are in Java with Spring Boot, but the design principles apply to any backend language or framework.
What You’ll Learn:
- Secure Authentication & Authorization
- OAuth 2.0, OpenID Connect, and JWT in practice
- Identity Providers with Auth0 integration
- Spring Security configuration for real applications
- Resilience Patterns with Resilience4j
- Circuit Breakers to prevent cascading failures
- Retry logic to recover from transient faults
- Time Limiter and Rate Limiter to maintain system stability
- Bulkhead pattern to isolate failures and contain damage
- API Protection and Scalability
- Bucket4j and Resilience4j rate limiting
- API Gateway pattern with Spring Cloud Gateway
- Load balancing strategies using Spring Cloud LoadBalancer
- Spring Boot Monitoring & Configuration
- Spring Boot Actuator for live metrics and health checks
- Application properties for environment-specific configurations
- Custom TLS, context paths, and logging levels
Why This Course Is Different:
Most tutorials focus only on basic CRUD operations or toy examples. This course is focused on real production challenges and resilient system design. You’ll understand how to:
- Think like a software architect when building secure services
- Prevent abuse, mitigate downtime, and gracefully handle system overload
- Write code that’s ready for deployment in modern distributed systems
Everything is supported with live coding sessions, practical exercises, and realistic examples that mirror the issues you’ll face on the job.
Who This Course Is For:
- Java backend developers ready to move beyond basic applications
- Engineers who want to master Spring Boot, Spring Security, and cloud-native resilience patterns
- Architects and senior developers who care about system reliability, security, and performance
- Backend engineers in other languages who want to understand universal patterns for scalable and secure system design
Two Annex Sections Included
If you’re new to Spring Boot or Spring Security, you won’t be left behind. You’ll get two focused sections that teach you the fundamentals of each – before diving into the advanced material.
By the end of this course, you will be able to design, build, and deploy systems that are secure by default, resilient to failure, and ready to scale.
Invest in your skills today. This is the course that will elevate your backend engineering to a new level.
Who this course is for:
- Java developers who want to go beyond CRUD and build production-grade systems
- Backend engineers aiming to design secure and fault-tolerant APIs
- Spring Boot users looking to deepen their understanding of Spring Security and Resilience4j
- Software developers preparing for roles in microservices or cloud-native architectures
- Engineers interested in mastering OAuth2, OpenID Connect, and API protection patterns
- Developers seeking to implement real-world resilience patterns like retries and circuit breakers
- Tech leads and architects responsible for system reliability and scalability
- DevOps-minded engineers who care about observability, rate limiting, and system hardening
- Anyone building Java-based distributed systems who wants practical guidance on robust design
- Developers from other languages (Node.js, Python, Go) wanting to learn backend best practices via Spring Boot
