// the find
getanteon/anteon
Anteon (formerly Ddosify): eBPF-based Kubernetes Monitoring and Performance Testing
Anteon is a Go-based load testing engine (the old Ddosify) that has expanded into eBPF-powered Kubernetes observability — automatic service maps, live metrics, and anomaly alerts without sidecars or code changes. The load testing side is a CLI/engine for HTTP scenario testing with correlation, CSV data injection, and response assertions. The monitoring side requires their self-hosted stack or cloud offering. It targets platform and backend engineers who want load testing and cluster observability in one tool.
The eBPF agent approach is genuinely good — no sidecar injection means zero pod restarts and no YAML sprawl to instrument an existing cluster. The load engine has a real assertion DSL with its own lexer/parser (not just string matching), which is more than most OSS load tools bother with. CSV data injection and response value extraction for chaining requests cover the majority of realistic API test scenarios. The self-hosted docker-compose setup is straightforward and includes InfluxDB + Prometheus + Postgres wired together.
The repo is split-brain: the load engine is mature and well-tested, but the monitoring product lives mostly in a separate repo (getanteon/alaz) and the UI is closed-source cloud/self-hosted — what you get here is basically a Docker Compose wrapper. AGPL-3.0 is a dealbreaker for anyone embedding this in a commercial product without open-sourcing their stack. The load engine only speaks HTTP/HTTPS — no gRPC, no WebSocket, no raw TCP, so it's useless for anything beyond REST APIs. Last meaningful engine commit activity has slowed; the project's energy appears to have shifted to the paid cloud product.