How does Akita discover APIs without requiring any code changes or SDKs?
Akita utilizes a passive traffic analysis approach. It observes the network traffic flowing to and from your services, intelligently identifying API endpoints, their payloads, and their interactions, effectively building a model of your API landscape without needing direct code instrumentation.
Can Akita help identify breaking changes in APIs before they impact users?
Yes, Akita continuously monitors API behavior and can detect deviations from established patterns or inferred schemas. This allows it to flag potential breaking changes or unexpected behaviors in pre-production or staging environments, enabling teams to address them proactively.
What kind of insights does Akita provide regarding API performance and errors?
Akita offers detailed metrics on API latency, throughput, and error rates. It can pinpoint specific endpoints experiencing performance degradation or increased error volumes, providing context such as request/response payloads and associated services to aid in rapid debugging.
How does Akita integrate with existing CI/CD pipelines for automated API testing?
Akita can integrate into CI/CD pipelines by capturing and replaying production-like API traffic against new code deployments. This allows for automated validation of API behavior and performance changes, ensuring that new releases do not introduce regressions or unexpected issues.
Is Akita capable of working with various API protocols beyond REST, such as GraphQL or gRPC?
Akita's traffic analysis engine is designed to be protocol-agnostic, allowing it to observe and understand various API communication patterns, including REST, GraphQL, and gRPC, by analyzing the underlying network interactions.