Connic
Connic
Hosting, scaling, and observability solved

Your Agents,
Without the Infrastructure Pain

Your agents work. But you are spending more time on Kubernetes, Docker, and monitoring than on the agents themselves. Connic eliminates the infrastructure burden so you can focus on what matters.

No

Kubernetes

Auto

Scaling

Built-in

Observability

Three problems you never have to solve again

Self-hosting means building hosting, scaling, and observability yourself. Connic handles all three out of the box.

Hosting

Skip all this

  • Kubernetes manifests
  • Docker builds
  • CI/CD pipelines
  • Cluster upgrades

Git push deploys your agents. No containers, no pipelines, no clusters.

Scaling

Skip all this

  • HPA configuration
  • Resource tuning
  • Capacity planning
  • Idle resource costs

Serverless execution scales automatically. Pay only for what you use.

Observability

Skip all this

  • ELK / Loki setup
  • Prometheus metrics
  • Grafana dashboards
  • Alert configuration

Full execution traces built-in. See every step in the dashboard.

Migration is straightforward

You are not rewriting your agents. Your Python tools stay the same. Your prompts stay the same. The infrastructure goes away.

What you keep

  • 1.

    Python tools

    Same functions, same logic

  • 2.

    Agent logic

    Prompts translate to YAML

  • 3.

    Git workflow

    Branches, PRs, code review

  • 4.

    External integrations

    APIs, databases, services

What you delete

  • 1.

    Kubernetes configs

    Manifests, Helm charts, kubectl

  • 2.

    Docker setup

    Dockerfiles, builds, registry

  • 3.

    CI/CD pipelines

    GitHub Actions, Jenkins, etc.

  • 4.

    Monitoring stack

    Prometheus, Grafana, alerts

What you get with Connic

Everything you need to run AI agents in production, without the infrastructure overhead.

Git-based deployment

Push to deploy. Review in PRs. Roll back with one click.

Serverless execution

Scales to zero. No idle resources. Pay per execution.

Full traces

See every step: inputs, LLM calls, tool executions, outputs.

Environment management

Dev, staging, production. Secrets per environment.

Version history

Every deployment versioned. Compare and roll back anytime.

Token tracking

See usage and costs per agent, per run.

Simple pricing

Pay for compute time and agent runs. No infrastructure fees. No surprise bills. Free tier to get started.

View pricing details