Browser Automation

Architecture that does not crack under load

Every automation we ship has three layers: the controller (business logic), the runtime (auto-scaling browser pool) and observability (structured logs, metrics, alerts). We run this on Kubernetes, Fly.io or the client's own infrastructure — depending on scale and compliance needs.

Sessions are isolated per fingerprint. Each browser has its own context, its own cookies, its own proxy. The pool manages instance recycling, retry with backoff, and automatic failover to a backup proxy pool when the primary gets blocked.

CAPTCHA, anti-bot and adversarial traffic

Cloudflare, Akamai, DataDome, PerimeterX, hCaptcha, reCAPTCHA — we have shipped against all of them. The strategy depends on the target: sometimes correct fingerprint heuristics and timing are enough, sometimes solver integration is required, sometimes you move to the API hidden behind the UI. We decide on the economics: cost per session, daily throughput required, time budget.

We do not sell magic. We sell resilient architecture and explicit performance contracts — written into the SLA when the client needs it.

Observability built in, not bolted on

Every session produces structured logs, response-time metrics, screenshots of key steps and error traces. Grafana or Datadog (your choice) shows what is happening in real time. Alerts land where they should — Slack, PagerDuty, email — with concrete information, not generic "something failed".

What you get

• Production browser automation system with auto-scaling
• Resilience layer: retry, fail-over, fingerprint management
• Session and proxy management pool
• Structured logs, metrics, alerts
• Documentation and operational runbooks
• Optional: operator dashboard in Next.js

Stack