DevOps for your network

Treat every network change like a software release. Git-triggered, tested, approved, deployed, and rolled back automatically when something breaks.

Pipeline maturity

Stage 1

Manual CLI

You are here

Stage 2

Scripted

Move to the next stage
Stage 3

Version-controlled

Stage 4

Pipeline-driven

Stage 5

GitOps

DORA metrics

Pipeline runs

Last 30 days

Success rate

Last 30 days

Avg lead time

Idea → deploy

MTTR

Mean time to recover

Quick start

Start from a scenario template

20 end-to-end DevOps scenarios ready to run — BGP change pipeline, compliance enforcement, fabric day-1 provisioning.

Browse scenarios

Connect your Git repo

Link GitHub, GitLab, or Azure DevOps. Changes to network intent files trigger pipelines automatically.

Connect Git

Build your first pipeline

Drag stages onto the Pipeline Studio canvas. Lint → test → dry-run → approve → deploy → verify.

Open Pipeline Studio

Run network tests

Manage pyATS/Genie, pytest-network, Batfish, and custom Python test suites with live run results.

Open Test Harness

Secure your secrets

Store device credentials and API tokens write-only, reference them as ${vault:…}, and get rotation alerts.

Open Secrets & Vault

Prove every change

An immutable, tamper-evident audit trail of every run, approval, and config push — with compliance export for PCI-DSS, ISO 27001, SOX.

Open Audit Trail

Break it on purpose

Controlled fault injection in the Lab — link failures, BGP kills, latency, and Game Day multi-failures — to empirically prove resilience, not just calculate it.

Open Chaos Engineering