1. Products
  2. Kong
  3. Alternatives
The best alternatives to Kong are Lumber, Epsagon, and Mashape Analytics. If these 3 options don't work for you, we've listed over 10 alternatives below.
What do you think of Kong?
Hurree
Hurree The smarter, simpler way to analyze your data
Promoted
Best alternatives to Kong
  • The admin microservice generator
  • Monitor, troubleshoot and fix problems in seconds with payload visibility across your serverless and microservices applications. - Run anywhere—in a container, a VM or Function as a Service (FaaS) - Build and troubleshoot your microservices better
  • Real-time analytics for APIs and microservices
  • A design driven approach for building microservices in Go
  • UnionMLis an open-source MLOps framework built on top of Flyte for creating web-native machine learning applications. It unifies the rapidly evolving ecosystem of ML and data tools into a single interface for bundling Python functions into ML microservices.
  • #Istio is an open platform that provides a uniform way to connect, manage, and secure microservices. ⛵️ Join our community: https://t.co/7kI7UVJDjZ
  • Distribute, Monetize, Manage and Consume APIs
  • Manage and schedule webhooks using an intuitive and simple API. Schedule a hook to run later using a timestamp, or a recurring basis using cron.
  • A developer tool to provide data-driven microservice clustering recommendations to aid engineers in assessing the benefits of transitioning their monolithic application to a microservice architecture.
  • KubeOrbit is an integration testing tool created by TeamCode for cloud-native application.
  • A SaaS platform with components to accelerate software development, Build Cloud Native Event Driven Microservices API’s. Accelerate Application Development.
  • Pactflow is an API testing and continuous delivery solution created to address the challenges faced by modern engineering teams building and running distributed system. We make testing APIs and microservices simple.
  • The Slate helps teams understand their microservices better. It groups SLIs, SLOs, and SLAs with the business value of a particular service, along side architectural decisions. Ultimately turning tribal knowledge into organisational context
  • an actor based Framework for creating microservices using technologies and design patterns of Erlang/OTP in Golang