Question 1

Dropwizard vs Spring Boot: which is better for Java microservices?

Accepted Answer

Dropwizard offers a lean, opinionated stack with built-in operational tools, ideal for teams wanting simplicity. Spring Boot provides greater flexibility and a larger ecosystem, better for complex, customizable applications. Choose based on your need for out-of-the-box production features versus extensive integration options.

Question 2

How to add authentication to a Dropwizard application?

Accepted Answer

Dropwizard doesn't include built-in authentication; you need to implement it using Jersey filters or third-party libraries like Pac4j. This involves configuring security in your resource classes and possibly integrating with OAuth or JWT, which adds manual setup compared to frameworks with native support.

Question 3

What are Dropwizard performance benchmarks like?

Accepted Answer

Dropwizard is optimized for high performance using lightweight libraries like Jetty and Jersey, often showing low latency and high throughput in benchmarks. However, actual performance depends on application logic and deployment; it's generally competitive with other Java frameworks but may lag in edge cases requiring extreme optimization.

Question 4

How to configure database connection pooling in Dropwizard?

Accepted Answer

Dropwizard uses HikariCP by default for connection pooling, configured via the YAML file. You can tweak settings like pool size and timeouts in the database section, ensuring efficient database access without manual pool management.

Question 5

Does Dropwizard support reactive programming?

Accepted Answer

Dropwizard does not natively support reactive paradigms like Project Reactor; it's built on synchronous, blocking libraries. For reactive applications, you'd need to integrate external libraries or consider frameworks like Spring WebFlux, which can add complexity.

Question 6

How to deploy a Dropwizard application to the cloud?

Accepted Answer

Dropwizard apps are typically packaged as fat JARs and can be deployed to cloud platforms like AWS or Heroku using standard Java containers. You may need to adjust configuration for cloud-specific environments, such as externalizing secrets and handling health checks, but it integrates well with CI/CD pipelines.

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