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Microservices Interviewfragen und Antworten

Verwandte Vergleiche

Monolithic vs Microservices

Frage 26. Explain the concept of 'Serverless Computing' in the context of microservices.

Serverless Computing allows developers to build and run applications without managing server infrastructure. It is event-driven and scales automatically based on demand.

Example:

Using AWS Lambda to run individual functions as microservices without managing the underlying servers.

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Frage 27. How do you handle database schema changes in a microservices environment?

Database schema changes can be managed through techniques like versioning, backward-compatible changes, or using tools like Flyway or Liquibase.

Example:

Applying rolling updates to microservices with minimal downtime during database schema changes.

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Frage 28. Explain the concept of 'CAP Theorem' and its implications for microservices.

The CAP Theorem states that it is impossible for a distributed system to simultaneously provide Consistency, Availability, and Partition Tolerance. In microservices, architects need to make trade-offs based on this theorem.

Example:

Choosing eventual consistency in a microservices system to ensure availability during network partitions.

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Frage 29. What is the role of an API contract in microservices communication?

An API contract defines the expectations and specifications for how microservices communicate with each other. It includes details such as the request and response formats, authentication mechanisms, and error handling.

Example:

Using OpenAPI specifications to document and enforce API contracts in a microservices ecosystem.

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Frage 30. Explain the concept of 'DevOps' and its significance in microservices development.

DevOps is a set of practices that aim to automate and improve the collaboration between development and operations teams. In microservices, DevOps is crucial for achieving continuous integration, continuous delivery, and efficient operations.

Example:

Automating the deployment of microservices using CI/CD pipelines in a DevOps culture.

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