The 4T Data Model®

Modern, scalable and flexible architecture for the enterprise

Topology, Telemetry, Traces and Time

StackState’s capabilities are driven by its unique 4T Data Model®. Merging Topology, Telemetry, Tracing and Time are the way to model the configuration of what is going on in any IT system; large or small, based on microservices, containers, web services, monoliths, serverless, cloud or on-premise. It doesn’t matter. StackState’s 4T Data Model® delivers insight into the entire IT landscape by capturing every millisecond of change, from any source in real time to solve or prevent IT issues faster, with the right team.



For the data to be relevant and actionable, a context must be placed around the data ingested. That context is topology. Topologies in StackState are automatically updated by topology data coming from different sources. Topology data is sourced from different platforms that provision or deploy networks, virtual machines, containers and services or can be discovered via discovery agents.

Each of these sources defines one or multiple subgraphs of the stack’s topology. These topological subgraphs are automatically merged and mapped to StackState’s stack by the script engine.

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StackState is able to ingest telemetry data (metrics, events and logs) from external IT systems such as monitoring, provisioning, deployment and configuration management tools or StackState’s own agent. The telemetry is combined with the topology data to create a comprehensive picture of your IT environment and how it is functioning in real-time.

StackState relies on plugins to receive and convert the incoming data streams. Plugins can be implemented in easy to use scripting languages and support both a push as well as pull interaction model.



Tracing provides end-to-end insight in your entire IT landscape at code level. With an easy to understand and navigate overview centered around the topology. Tracing is also fully integrated with our unique time travel capabilities which captures all changes over time.

StackState Tracing capability supports all major languages and has full support for distributed traces. StackState Tracing even integrates cloud tracing technologies such as Amazon X-Ray and Azure Monitor.



Problems in IT stacks can usually be traced back to changes. Having a change log of everything in your IT landscape is vital. To record these changes, we’ve built StackGraph, the worlds’ only versioned graph database. StackGraph allows StackState to go back to any moment in time and to see exactly what your landscape looked like at that moment.

The web-based user-interface of StackState is equipped with a WebGL based rendering engine. Hardware accelerated graphics allow for visualizing massive topologies. The 3d visualization allows you to visualize not only the present topology, but also the past and future all in one glance.


StackState is a vendor-agnostic platform that is built on an API-first architecture. Leverage our suite of APIs to integrate with third-party tools. No vendor lock-in.

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Build for Scale

Designed to visualize and monitor thousands or millions of components. StackState scales as you grow.

Analytical Engine

By integrating multiple layers of data collection in your IT landscape, StackState delivers a seamless way to interact with IT operations management toolsets and provide an analytical engine and visualization.

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