Always-On Demo

The demo grids

GridTypeWhat it shows
demo-shoebox Synthetic A small system you can break. Click a connection to break it, then watch the failure propagate and see exactly what it looks like in the telemetry. Synthetic, so nothing is precious and nothing pages anyone.
demo-snowglobe-ai-clean Synthetic AI, on a calm day. The agentic story without the noise.
demo-snowglobe-ai-flagship Synthetic An AI-native application, observed. Agentic and LLM calls most APMs cannot see inside.
demo-snowglobe-blended Synthetic The real world: traditional + AI together. Classic services and AI sharing one topology.
demo-snowglobe-incident Synthetic Everything is on fire. Maximum errors and dead consumers, the root-cause demo.
demo-snowglobe-phantom Synthetic Services you didn't know you had. Phantom detection: dead consumers inferred from the gaps.
demo-snowglobe-traditional Synthetic A traditional platform under strain. Classic services only, no AI, with the failures a normal production day actually produces.
demo-snowglobe-traditional-clean Synthetic A healthy e-commerce platform. The clean baseline, what good looks like.
demo-sos-apm Organic The people flat tools failed. Real observability pain from dev forums, surfaced to a human who replies in their own words, never the AI. When a fetcher dies, a phantom will appear.
demo-sos-ai Organic The people the AI moment is happening to. When someone is scared of AI, a person steps in to help, never the AI. No one here is a lead.

Coming soon Full demo capability coming soon.

Enter a live system

DeepCube. The spatial observability platform.

Continuity, proximity, and memory: what DeepCube is building toward.

Coming next

Continuity

Services keep their identity and their place between sessions, so you spend less time finding them and more time watching what they do.

In progress

Proximity

The data in frame updates as you move from node to node, so where you stand sets the scope.

On the roadmap

Memory

Your investigation, and what you have ruled out, carries across sessions, to Tessa and to the colleague you hand it to, so they pick up where you left off.

Each label comes off only when its public test passes: read the three tests.

This is where DeepCube is headed: continuity, proximity, and memory as properties of the view, so your context goes with you as you move. DeepCube is built on OpenTelemetry with no vendor lock-in: bring any OTel-compatible collector and export your data anytime.

Industry Reality

  • The signal is scattered across tools, tabs, and dashboards, and the shape of the problem is in none of them.
  • Every context switch costs you the thread you were holding; navigating one space keeps it.
  • You understand a place faster than a panel: a case study of engineers reading complex software models found 3D visualization improved comprehension by 22% (3D Visualization for Model Comprehension, a case study at Ericsson AB).
  • Absence points at its own cause: a phantom does not just show the hole where a service should be, it shows the services still calling into it, so the gap tells you where to look.

One spatial view, not a wall of tabs

Logs, metrics, traces, and events layered in a single space you move through, so the shape of a problem is something you see rather than something you assemble across tabs.

Built for DevOps & SRE, infrastructure, support, and education. See it for your role: DevOps, SRE, Infrastructure, Support, Education.

See the immersive experience


Watch the full experience video | Watch more videos on our YouTube channel

Watch how DeepCube lets you enter your software environment, explore live data, and resolve issues with AI Assistant by your side.

See what our customers are saying

Testimonial from the US Defense Information Systems Agency (DISA/disa.mil) talk

Watch the testimonial from the DISA TEM talk | Request the full DISA TEM talk video

Immersive Fusion is pioneering the next dimension of observability

Immersive Fusion redefines efficiency and effectiveness in observability

Product Details Pricing

Plans

Timeline: First Deploy in Under 30 Minutes

  • Initial deploy in under 30 minutes to first data flowing
  • Week 1: Connect to existing monitoring tools
  • Week 2: Train teams and explore the environment
  • Week 3: Enable full production diagnostics