This content originally appeared on DEV Community and was authored by Mahendra Kumar
I’m designing audit logging for a microservices platform running on Kubernetes with Go services communicating via REST and gRPC. I’m researching how teams typically implement audit logging across distributed systems.
The requirements are simple:
capture who triggered an action, what changed, and the before/after state, along with timestamps and results.
Areas I’m exploring:
- Capture point
At the API Gateway?
Inside each microservice?
A hybrid?
- Delivery model
Synchronous writes?
Asynchronous pipelines (Kafka, NATS, SQS, etc.)?
- Aggregation
Central audit logging service
Shared database
Event log / stream
- Failure strategies
Fail the business operation?
Buffer and retry?
- Performance
Avoiding bottlenecks
Batching, buffering, and backpressure patterns
If you’ve built audit logging across multiple services, I’d appreciate insights on what worked well.
This content originally appeared on DEV Community and was authored by Mahendra Kumar
Mahendra Kumar | Sciencx (2025-12-02T16:43:06+00:00) How Do You Architect Audit Logging in a Microservices Platform?. Retrieved from https://www.scien.cx/2025/12/02/how-do-you-architect-audit-logging-in-a-microservices-platform/
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