Key Insights

Decoupling of Services: Microservices architecture breaks down a large application into smaller, independent services, allowing for easier management and updates.
Independent Deployment: Each microservice can be deployed independently, reducing the risk of system-wide failures and allowing for continuous deployment.
Fault Tolerance: If one service fails, it does not bring down the entire system, enhancing overall system reliability.
Scalability: Microservices can be scaled independently based on their specific requirements, leading to more efficient resource utilization.
Technology Diversity: Different microservices can be developed using different technologies, allowing teams to choose the best tool for each job.

Complexity in Breaking Down Services: Identifying and decoupling services from a monolithic application is a complex and time-consuming process.
Communication Overhead: Microservices require robust communication protocols (e.g., RESTful APIs), which can introduce latency and complexity.
Multiple Deployment Pipelines: Each microservice requires its own deployment pipeline, increasing the complexity of CI/CD processes.
Authorization and Authentication: Implementing security across multiple microservices can be challenging, requiring multiple layers of authentication and authorization.

Dockerization: Containerizing microservices using Docker ensures consistency across different environments and simplifies deployment.
Health Checks: Implementing health checks for microservices to monitor their status and automatically handle failures.
Correlation IDs: Using correlation IDs to trace requests across multiple microservices, aiding in debugging and monitoring.
Separate Databases: Each microservice should have its own database to ensure data isolation and reduce dependencies.
Stateless Services: Designing microservices to be stateless to facilitate easier scaling and load balancing.