Question 1

How to set up dynamic configuration in Kratos with multiple data sources?

Accepted Answer

Kratos supports dynamic configuration through its config component, allowing integration with sources like etcd or file systems using atomic operations; refer to the documentation for examples on defining and loading configurations in Protobuf format.

Question 2

Kratos vs go-zero: which is better for building microservices in Go?

Accepted Answer

Kratos focuses on a governance-oriented framework with built-in observability and Protobuf-first design, while go-zero emphasizes engineering practices and performance; choose Kratos for integrated tooling or go-zero for more opinionated, high-performance setups.

Question 3

Can I use Kratos without gRPC and only HTTP?

Accepted Answer

Yes, Kratos abstracts both HTTP and gRPC transports, so you can use HTTP exclusively by defining Protobuf messages for APIs and leveraging the unified middleware, but Protobuf is still required for type safety.

Question 4

How does Kratos handle service discovery with Kubernetes?

Accepted Answer

Kratos provides a pluggable registry interface that can integrate with Kubernetes via community plugins or custom implementations, though the README mentions centralized systems, so check for specific Kubernetes support in the ecosystem.

Question 5

What are the performance implications of Kratos's middleware stack?

Accepted Answer

Kratos is designed for high-performance without unsafe optimizations, but the built-in middleware for tracing and metrics adds overhead; benchmark against your use case, as the framework prioritizes stability and fault-tolerance.

Question 6

How to add custom validation rules in Kratos using Protobuf?

Accepted Answer

Define validation rules directly in Protobuf files using extensions, then use the protoc-gen-go tool to generate code; Kratos's middleware automatically enforces these rules for HTTP/gRPC services, as noted in the features.

Kratos

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