✅ Event Driven
✅ Spring Boot: Spring Security upgrade
✅ Spring Boot: Virtual Thread
✅ Spring Boot: GZIP Compression
❌ Git Brush up
❌ Spring Boot: JUnit 5 and Mockito, MockMvc, TDD
❌ Spring Boot 3 Observability | Monitor Method & Service Performance
❌ Spring Session
❌ Spring Integration
❌ Spring HATEOAS
❌ Spring Modulith
❌ Spring REST Docs
❌ Spring AI
❌ Spring Batch
❌ Spring for Apache Kafka
❌ Spring for Apache Pulsar
❌ Spring Boot: Implement and use Redis for caching
❌ Java Upgrade
❌ Advance Caching using Redis
❌ GraphQL
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Spring Framework Basics
- Dependency Injection
- Aspect-Oriented Programming (AOP)
- Spring MVC
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Spring Boot Fundamentals
- Spring Boot Annotations
- Spring Boot Starters
- Application Configuration (application.properties/application.yml)
- Spring Boot Actuator
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Spring Boot Testing
- Unit Testing with JUnit
- Integration Testing
- Mocking with Mockito
- Testing REST APIs
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Data Access
- Spring Data JPA
- Hibernate
- Transaction Management
- Spring Data REST
- Query Methods and Custom Queries
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Security
- Spring Security
- OAuth2 and JWT
- Method-level Security
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Microservices Architecture
- Building Microservices with Spring Boot
- Service Discovery with Eureka
- API Gateway with Zuul or Spring Cloud Gateway
- Load Balancing with Ribbon
- Circuit Breaker with Hystrix or Resilience4j
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Spring Cloud
- Spring Cloud Config
- Spring Cloud Bus
- Distributed Tracing with Sleuth and Zipkin
- Spring Cloud Stream
- Spring Cloud Function
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Reactive Programming
- Project Reactor
- WebFlux
- Reactive Data Access
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Performance Tuning and Monitoring
- JVM Tuning
- Using Spring Boot Actuator for Monitoring
- APM tools like New Relic, Dynatrace, or Prometheus
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Containerization
- Docker Basics
- Docker Compose
- Building and Running Spring Boot Applications in Docker
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Continuous Integration/Continuous Deployment
- Jenkins, GitLab CI, or GitHub Actions
- Building Pipelines for Spring Boot Applications
- Automated Testing and Deployment
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Cloud Platforms
- Deploying Spring Boot Applications on AWS, Azure, or Google Cloud
- Using Platform as a Service (PaaS) like Heroku, Cloud Foundry, or OpenShift
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Communication
- Effective Communication with Team Members and Stakeholders
- Writing Clear and Concise Documentation
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Collaboration
- Agile/Scrum Methodologies
- Version Control with Git
- Code Review Best Practices
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Problem-Solving
- Debugging Skills
- Analytical Thinking
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Kubernetes
- Basics of Kubernetes
- Deploying and Managing Spring Boot Applications in Kubernetes
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Serverless Architecture
- Introduction to Serverless
- Using AWS Lambda or Azure Functions with Spring Boot
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GraphQL
- Basics of GraphQL
- Integrating GraphQL with Spring Boot
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Certifications
- Spring Certified Professional
- AWS Certified Solutions Architect
- Certified Kubernetes Administrator (CKA)
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Community Engagement
- Participating in Conferences and Meetups
- Contributing to Open Source Projects
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Continuous Learning
- Online Courses and Tutorials (Pluralsight, Udemy, Coursera)
- Reading Technical Books and Blogs
- Dependency Injection (DI): Understand and efficiently use Spring's core feature for managing beans and dependencies.
- Spring Boot Auto-Configuration: Leverage auto-configuration to simplify application setup.
- Profiles and Configuration: Master environment-specific configurations using profiles (
application-{profile}.properties
) and externalized configuration.
- Custom Starters: Create custom Spring Boot starters for reusable components across multiple projects.
- Health Checks and Monitoring: Use Spring Boot Actuator to monitor application health, expose custom metrics, and build observability into microservices.
- Spring MVC: Deep knowledge of controllers, request mappings, and response entities.
- Validation: Implement robust input validation with
@Valid
and custom validators. - HATEOAS: Understand how to make APIs self-descriptive and navigable.
- Spring Cloud: Familiarity with Spring Cloud components for building resilient and scalable microservices (e.g., Eureka, Config Server, Zuul/Gateway, and Hystrix).
- Service Communication: Proficiency in using Feign Clients and RestTemplate for inter-service communication.
- Spring Data JPA: Expertise in repository patterns, custom queries, and advanced JPA features like caching, lazy/eager loading.
- Database Migration: Knowledge of database versioning tools like Flyway or Liquibase.
- Reactive Programming: Understanding of reactive repositories using Spring Data Reactive and R2DBC.
- Spring Security: Implement authentication and authorization using JWT, OAuth2, or session-based mechanisms.
- Role-based Access: Configure role-based access control and secure APIs efficiently.
- CSRF and CORS: Handle CSRF tokens and configure CORS for secure cross-origin requests.
- Caching: Utilize caching frameworks like Redis or Ehcache to optimize performance.
- Asynchronous Programming: Use
@Async
and CompletableFuture for non-blocking operations. - Bulkhead and Circuit Breaker Patterns: Implement resilient patterns using libraries like Resilience4j.
- Unit Testing: Proficiency in JUnit 5, Mockito, and Spring Boot Test.
- Integration Testing: Writing tests with embedded databases (e.g., H2) and MockMvc for REST endpoints.
- Performance Testing: Familiarity with tools like JMeter or Gatling for testing application scalability.
- CI/CD: Knowledge of Jenkins, GitHub Actions, or similar tools for CI/CD pipelines.
- Containerization: Proficiency in Docker and Kubernetes for deploying Spring Boot applications.
- Observability: Implement logging (e.g., Logback), tracing (e.g., Zipkin), and monitoring with Prometheus and Grafana.
- Code Review: Ability to perform and guide effective code reviews for quality assurance.
- Mentorship: Guide team members in adopting best practices, debugging issues, and improving productivity.
- Agile Practices: Familiarity with Agile methodologies, story sizing, sprint planning, and backlog grooming.
- Reactive Programming: Master frameworks like Project Reactor for building reactive streams and non-blocking services.
- API Documentation: Use tools like Swagger/OpenAPI for documenting APIs.
- Message Queues: Experience with Kafka, RabbitMQ, or ActiveMQ for building event-driven systems.
As a team lead, combining technical expertise with leadership qualities will help you drive the team efficiently and ensure project success.