Self-hosted operations intelligence

Your whole stack, one calm console.

wardn unifies monitoring, cost, deployments and incidents into a single anomaly-led workspace — with an AI assistant that already knows your infrastructure. Deployed entirely inside your own environment.

Explore the live demo How self-hosting works $ docker compose up — no data leaves your network
100%
Self-hosted
1 console
Not 12 dashboards
<12h
Change surfaced
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Data egress
Why teams switch

Stop stitching together a dozen tools

Most ops teams live across Datadog, the cloud console, a deploy tool, a ticketing board and three Slack channels. wardn brings the signal into one place and tells you what changed.

Anomaly-led, not dashboard-led

The console reorganizes itself around what's actually changing — incidents, regressions, cost drift and opportunities surface at the top so you're never hunting through charts.

One console, every signal

Performance, cost, deployments and incidents in a single dense workspace with a shared timeline — compare across services side by side without switching tabs.

AI that knows your stack

A built-in assistant with context on your services, metrics and history. Ask it to triage, draft a handover, or summarize the week — answers come with the data inline.

Your data never leaves

Runs entirely inside your VPC or on-prem. No metrics, logs or credentials are sent to a third-party SaaS — full data sovereignty by default.

Automate the routine

Scheduled briefings, digests and checks that post where your team already works. wardn even suggests new automations from the patterns it sees in your activity.

Cost as a first-class signal

Spend sits next to performance, broken down by service with week-over-week deltas — so a cost spike is just another anomaly you catch early, not a month-end surprise.

Self-hosted by design

Deploy it in your own environment in minutes

wardn ships as a single container set you run wherever your infrastructure lives. Connect your existing tools over private networking — nothing is routed through us.

  • Full data sovereignty. Metrics, logs and secrets stay inside your perimeter — meet compliance and residency requirements out of the box.
  • Bring your own models. Point the AI assistant at your own LLM endpoint, a cloud provider, or a fully local model. No mandatory external calls.
  • Connect what you already run. Native MCP integrations for your observability, infra, ticketing and comms tools — connect once, use everywhere.
  • You own the upgrade cadence. Pin versions, run in air-gapped networks, and audit every change. No surprise SaaS updates.
Inside the console

Built for the way on-call actually works

What changed

The morning briefing, before you ask

Every shift starts with a clear read on what moved overnight — auto-detected and ranked by impact, with one-click investigate and acknowledge. No more scanning twelve dashboards to find the one red line.

Incidents, regressions, cost drift and opportunities in one strip
Each item links straight to the underlying data
Ask the assistant to triage the whole list at once
What changed · last 12h3 to review
Service latency 2.4× weekly average
payments-api · since 08:22
Spend drift +37% week-over-week
log ingestion · 3 days
Traffic up 4× — scale opportunity
edge-gateway · 6h
Compare & drill in

Side-by-side, then all the way down

Pin any set of services and compare their performance, cost and reliability at a glance. Click into any one for a full drill-down with charts, recent deploys, and an AI summary scoped to its current state.

Compare up to six services without leaving the page
Latency, throughput and error trends with real deltas
A contextual summary written for the thing you're looking at
Service comparisonhealthy
payments-api412ms edge-gateway76ms search-svc132ms media-cdn41ms
Automations

Routine work that runs itself

Turn any recurring check into a scheduled automation that posts results to Slack, Teams, your docs or your ticketing board. wardn watches how your team works and suggests the automations worth creating.

Natural-language, cron, or visual schedules
Outputs delivered to the tools you already use
AI-suggested automations from your own patterns
Automations4 active
Daily operations briefing
Weekdays 9:00 → #ops-briefing
Weekly cost digest
Mondays 9:00 → Docs + #finops
Suggested · on-call handover
Detected from your activity
Connect once

Works with the tools you already run

Native integrations over the Model Context Protocol — observability, infrastructure, ticketing, docs and comms. Connect them in settings, then use them everywhere.

D Datadog A AWS K Kubernetes A ArgoCD L Linear J Jira S Slack T Teams C Confluence N Notion G GitHub P PagerDuty
See it for yourself

The clearest view of your operations.

Click through the full console — every screen is live and interactive. No signup, nothing installed.