Companies today are looking for agile and sustainable solutions. Microservices meet these expectations by enabling the design of independent, scalable applications adapted to complex environments. The training provides a practical perspective on the challenges of traditional monolithic models and demonstrates how microservices offer relevant solutions. This understanding allows participants to evaluate when and how to adopt this type of architecture.
Beyond theory, learners will experiment with different methods to design, deploy, and test their own microservices. They will discover how to integrate modern tools, implement CI/CD pipelines, and understand the role of a service mesh. With this knowledge, they will be able to effectively structure a distributed architecture, while also identifying situations where this model should not be applied. This course provides a solid foundation for anyone looking to strengthen their expertise in software architecture and advance toward ambitious technical projects.
Module 1: Micro-Services History
Module 2: Problems with SOA
Module 3: Micro-Service Architecture
Module 4: Best Practices for Micro-Services Security
Module 5: Problems Solved by Micro-Services
Module 6: Designing a Micro-Service Architecture
Module 7: Testing Micro-Services
Module 8: Service Mesh
Module 9: Logging and Monitoring
Module 10: When Not to Use Micro-Services
Module 11: Micro-Services and the Organization
Module 12: Anti-patterns and Common Mistakes
Module 13: Deploying Micro-Services
Module 14: Introduction to CI/CD
Module 15: Creating a CI/CD Pipeline with Jenkins
Module 16: Continuous Delivery vs Continuous Deployment
Microservices architecture has become an essential answer to the limitations of monolithic applications. It is based on splitting functionalities into independent services. Each microservice can be developed, tested, and deployed autonomously. This approach fosters team agility and accelerates release cycles. It is a major advantage in a context where businesses must quickly adapt to market changes and user expectations.
Monolithic applications create many problems over time. Their complexity grows as new features are added. Updates become risky and expensive. Teams struggle to maintain code consistency and manage dependencies. By splitting applications into microservices, changes can be isolated. Each service evolves independently, which greatly reduces the risk of incidents during deployments.
Beyond technical aspects, microservices provide real operational advantages. Development teams can work in parallel on different services. This encourages a product-oriented organization instead of a project-oriented one. System resilience is also strengthened. If one service fails, the others continue to function, limiting the impact for end users. Finally, microservices fit perfectly into DevOps environments where automation and rapid delivery are essential.
Security remains a priority when deploying microservices. Unlike monolithic applications, distributed architectures multiply entry points. This requires new strategies. The use of API gateways, authentication tokens, and defense-in-depth mechanisms is essential. Supervision and traceability are also critical to quickly detect anomalies and respond to incidents.
A service mesh is a key tool for managing communication between microservices. It provides features such as intelligent routing, certificate management, and monitoring. This abstraction layer simplifies the implementation of advanced mechanisms such as load balancing, fault tolerance, and security policy management. However, its adoption should be carefully considered. It is especially relevant in complex environments where microservices are numerous and highly interconnected.
The success of a microservices project relies on several best practices. It is crucial to define well-bounded services, each linked to a specific business capability. Communication between services must be carefully designed to avoid excessive dependencies. Automation, particularly through continuous integration and continuous deployment, plays a central role. Finally, implementing comprehensive testing strategies ensures long-term quality and stability of applications.
Despite their many advantages, microservices are not suitable for all projects. Small applications with no major evolution planned do not require such complexity. Moreover, managing distributed environments can generate additional costs and demand advanced skills. Knowing how to identify when microservices are not the right solution is therefore a crucial skill for any software architect.
What are the differences between microservices and SOA?
Service-oriented architectures often rely on a centralized communication bus. Microservices, on the other hand, favor decentralized governance and autonomous services.
Do you always need a service mesh?
No, its use is recommended only when the number of services and their interactions make communication difficult to manage.
How can microservices be tested effectively?
It is recommended to combine different types of tests: unit, integration, and end-to-end. This ensures both the reliability of each service and overall consistency.
What are the main risks associated with microservices?
The main risks concern security, increased infrastructure complexity, and difficulties maintaining centralized supervision. These can be reduced through careful design and the right tools.
Are microservices suitable for all projects?
No, they are particularly useful for complex and scalable systems. For simple applications, a monolithic architecture often remains more efficient.
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