Inadequate monitoring and logging make it challenging to identify and troubleshoot issues within microservices. Solution: Implement centralized logging and monitoring solutions for comprehensive visibility. Utilize distributed tracing to track requests across multiple microservices. Terminology: Centralized Logging And Monitoring: such as the ELK Stack (Elasticsearch, Logstash, Kibana),…

Deployed microservices encounter critical issues, and rolling back to a previous version becomes complex or results in data inconsistencies. Solution: Utilize blue-green deployment or canary releases to minimize the impact of faulty deployments. Implement database schema versioning to handle changes in data structures during rollbacks. Terminology: Blue-Green Deployment: A deployment…

Microservices handling sensitive user data are not compliant with data privacy regulations, risking legal consequences. Solution: Implement data anonymization and encryption techniques for sensitive information. Conduct regular compliance checks and audits to ensure adherence to privacy regulations. Terminology: Data Anonymization protects privacy by altering or removing personally…

Excessive communication between microservices leads to increased latency and performance degradation. Solution: Optimize communication protocols, like using binary formats instead of verbose JSON. Implement message queues for asynchronous communication between microservices. Terminology: Optimize communication protocols: In the following example, the Protocol Buffers representation is more…

Security loopholes in microservices expose sensitive data or allow unauthorized access, posing a threat to the overall system security. Solution: Implement authentication and authorization mechanisms for secure access to microservices. Regularly conduct security audits and vulnerability assessments. Terminology: Authentication: The process of verifying the identity of a user, system, or…

We can quote from Martin Fowler and Adrian Cockcroft on key aspects of microservices. From Martin Fowler: “The microservice architectural style is an approach to developing a single application as a suite of small services, each running in its own process and communicating with lightweight mechanisms, often an HTTP resource API. These services are built around business capabilities and are…

In the context of microservices architectures, a Three-Phase Commit (3PC) is a distributed transaction protocol used to coordinate transactions across multiple microservices or distributed components. Similar to the Two-Phase Commit (2PC) protocol, 3PC aims to ensure atomicity and consistency of transactions, but with additional optimizations to address some of the limitations of 2PC. Here’s an…

Two-Phase Commit (2PC) is a distributed transaction protocol used to ensure atomicity and consistency across multiple microservices in a microservices architecture. In this context, 2PC helps maintain data integrity when a transaction involves interactions with multiple microservices, ensuring that either all microservices successfully complete their operations or none of them do. Here’s how…