Inferix

Quick start

Clone lensai-integration, make build / up / smoke, open Grafana. Honest path to first dashboard.

The runnable path today is LensAI: clone the integration repo, build and start the stack, run smoke, open Grafana. About ten minutes on a machine with Docker.

Clone the inferix orchestrator repo with sibling product repos in one workspace, then run the canonical entrypoint from the workspace root:

# workspace layout: inferix/, inferix-lensai-streaming/, inferix-ui/, …
./run-inferix.sh --full          # build + start full profile
./run-inferix.sh --full --smoke  # optional E2E smoke after startup

Legacy LensAI-only quickstart below remains valid for Grafana-first exploration.

1 · Clone lensai-integration

Primary path uses lensai-integration. Streaming and eBPF sources live in sibling repos linked from the suite map.

git clone https://github.com/AkshantVats/lensai-integration.git
cd lensai-integration

2 · Build, up, smoke

make build    # builds app images from source (~5 min first run)
make up       # starts Redpanda, ClickHouse, ingest, flagd, Grafana, …
make smoke    # POSTs a synthetic event; exits 0 when ClickHouse has it

Smoke hits ingest on :8080, waits for the consumer flush, then queries ClickHouse. Override hosts with INGEST_HOST / INGEST_PORT / CH_HOST if needed — see the integration README.

3 · Open Grafana

Open http://localhost:3000 (admin / admin). The LensAI — Overview dashboard auto-provisions.

  • Ingest HTTP — :8080 (events into the pipeline)
  • distributed-flagd — :8081 (HTTP) / :50051 (gRPC)
  • Grafana — :3000
  • Prometheus — :9090

Port 3000

Grafana in the LensAI stack binds :3000. If that port is taken on your laptop (another site), change the Compose mapping — do not confuse this with the marketing + docs Next server (npm run dev on :3001).

What you just ran

eBPF tracer (mock by default) → Rust ingest (HTTP)
        → Redpanda → Go consumer → ClickHouse → Grafana
              ↕
    distributed-flagd (etcd-backed)

Real eBPF needs Linux 5.8+ and CAP_BPF — set EBPF_MOCK=false and uncomment privileged mounts in the Compose file. Not supported on macOS/Windows.

Deeper deploy (Compose profiles, Helm, k3d): Install & self-host. Maturity of every product: Status & maturity.

Design target / not shipped — unified control plane

Design target / not shipped A single ghcr.io/…/inferix image, listen on :4000, and suite-wide /v1/chat/completions are design targets — not a shipped binary today. Do not treat them as install facts. Engineering design lives in product repos (e.g. infra-ai-streaming DESIGN.md, TraceForge DESIGN.md). See Architecture.

Docs-only connect note (future / target): when a control-plane ingress ships, clients would point an OpenAI-compatible SDK base_url at that API. That path is not runnable from this quickstart.