Keploy vs Kong
Keploy auto-generates API tests from real production traffic using eBPF with zero code changes. Kong is an API gateway and service connectivity platform that manages, secures, and monitors API traffic in production. Keploy is a testing tool; Kong is infrastructure. They solve different problems but both work with API traffic.
How They Work Differently
Architectural differences that affect your team's workflow, cost, and velocity.
KeployKeploy uses eBPF to record real API calls and responses from your running application, then replays them as regression tests. It auto-generates mocks for downstream dependencies and handles non-deterministic data automatically. It is a testing tool, not runtime infrastructure.
KongKong is an API gateway that sits in front of your services, handling routing, authentication, rate limiting, and observability. Kong Insomnia (its API client) and Kong Deck provide testing-adjacent features, but Kong's core value is runtime API management — not test generation. Teams use Kong to manage API traffic, not to create test cases.
How They Compare
Click any row to see real-world KPI impact across industries.
KeployOpen Source · 17K+ Stars
KongWhen to Use Each Tool
Specific scenarios where each tool delivers the most value for your engineering team.
Keploy is the better fit when you need to...
- Need to generate automated regression tests from API traffic
- Want a dedicated testing tool with mock generation and test replay
- Do not need runtime API gateway features like rate limiting or auth
- Want tests that run in CI/CD against your application directly
- Need to capture and replay traffic for testing, not route it in production
Kong is the better fit when you need to...
- Need an API gateway for routing, rate limiting, and authentication
- Want centralized API traffic management across microservices
- Need production observability, logging, and analytics for your APIs
- Require a service mesh or service connectivity platform
- Want a developer portal for publishing and managing API documentation
Real-World Scenarios
How each tool handles the challenges your team actually faces.
Your team ships 50 PRs/week and needs regression coverage
Keploy captures API traffic and generates regression tests that run in CI on every PR automatically. Purpose-built for this use case.
Kong is not designed for regression testing. It can validate request schemas at the gateway level, but it does not generate or run test suites. You would need a separate testing tool.
You're migrating from monolith to microservices
Keploy records monolith traffic and replays it against new microservices to verify behavioral parity. Auto-generates dependency mocks for isolated testing.
Kong helps manage microservice routing during migration — directing traffic between monolith and new services. It handles the production cutover but does not verify functional equivalence through testing.
New developer onboarding — writing first tests
New developers run the app with Keploy and get production-based tests immediately. No gateway configuration to learn.
Kong is not a testing tool for onboarding. New developers might interact with Kong's developer portal to understand available APIs, but they would still need a separate tool to write tests.
FAQs
Not directly. Keploy is an API testing tool that generates tests from traffic. Kong is an API gateway that manages traffic in production. They operate at different layers. You would use both — Kong in production and Keploy for testing.
Kong can validate request schemas against OpenAPI specs via plugins, but it does not generate test cases, run test suites, or compare responses. It is runtime validation, not test automation. Keploy generates and runs complete test suites.
Yes. Kong acquired Insomnia and offers it as part of the Kong ecosystem. Insomnia is an API client for development and debugging. It is a manual tool, not an auto-test generator like Keploy.
Yes. Keploy captures traffic at the application level via eBPF, regardless of whether a Kong gateway sits in front. Traffic that reaches your application gets captured and turned into tests.
If your problem is testing, evaluate Keploy. If your problem is API management, routing, and security in production, evaluate Kong. They solve fundamentally different problems.
Looking for a Kong Alternative?
Engineering teams evaluating Kong alternatives often compare it with Keploy for API testing and regression coverage. Keploy captures real production traffic via eBPF and auto-generates tests with dependency mocks — requiring zero code changes. If you're considering switching from Kong or comparing Kong and Keploy side by side, the key differences come down to how tests are generated (traffic-based vs manual), how dependencies are mocked (automatic vs configured), and what infrastructure changes are needed (none vs SDK/sidecar/containers).
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