anteon
Anteon (formerly Ddosify): eBPF-based Kubernetes Monitoring and Performance Testing
Anteon is an open-source platform that monitors Kubernetes clusters using eBPF (zero code changes required) and runs load tests, letting you watch how services respond under pressure side by side.
Anteon, previously called Ddosify, is an open-source platform that does two related jobs: monitoring what is happening inside a Kubernetes cluster, and running performance tests against web services. Kubernetes is a system that manages large numbers of containers (packaged software) across many machines. Anteon is listed in the Cloud Native Computing Foundation landscape, which is the industry body that oversees Kubernetes and related tools.
The monitoring side is notable because it uses a technology called eBPF, which lets it observe network traffic directly inside the Linux kernel without requiring any changes to your application code, no restarts, and no extra helper processes attached to each container. From that data, Anteon automatically draws a service map showing which parts of your cluster are talking to which, and highlights connections where response times are high, helping you trace the source of slowdowns. It also tracks CPU, memory, disk, and network usage in real time across all your nodes and can send alerts to Slack if something unusual spikes.
The performance testing side lets you create load test scenarios without writing code, run them from servers in over 25 countries, and see the results alongside the live monitoring data from your cluster. That combination means you can run a load test and simultaneously watch how each service in your cluster responds under pressure. You can also import test definitions from Postman, a popular API development tool, so existing test collections carry over without being rewritten.
The GitHub repository contains the load engine source code, self-hosted installation instructions, and links to a separate repository for the eBPF agent called Alaz. Docker images are published on Docker Hub. A cloud-hosted version with a live demo is available at the project website, and a Discord community is active for questions and feedback.
The project carries an AGPLv3 license, which allows free use and self-hosting but requires that any modifications distributed to others also be open-sourced under the same terms.
Where it fits
- Monitor Kubernetes service-to-service traffic and auto-generate a dependency map without touching any application code or restarting containers.
- Run a load test from 25+ countries while simultaneously watching which services in your cluster slow down under pressure.
- Set up Slack alerts that fire when CPU, memory, or network usage spikes unexpectedly across cluster nodes.
- Import an existing Postman test collection and replay it as a load test to measure real-world API performance at scale.