The Topology-based Observability Platform

Based on a unique 4T data model that correlates Topology with Telemetry and Traces at every moment in Time.

You have the tools. Now it is time for insights.

StackState’s capabilities are driven by its unique 4T Data Model®. Merging Topology, Telemetry, Tracing and Time is 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.


Full-stack observability. No more blindspots.

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.


Open platform. Capture all data.

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 push and pull interaction models.

See every event. Pinpoint root cause.

An event represents any record of activity interesting for engineers. Think about a change in the configuration of a VPC, a restart of a pod, or a deployment of a service. In many cases, those events can lead to incidents and so they are important to keep track of.

StackState takes every event into account and connects it to its real-time topology to prevent problems and find the cause of problems lightning fast.


End-to-end insights. At code level.

Tracing provides end-to-end insight into your entire IT landscape at the 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 capture all changes over time.

StackState Tracing 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.


See what happened. Before and after.

Problems in IT stacks can usually be traced back to changes. Having a changelog 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.

Want to know more?

Learn all about our features.


One platform for on-prem, microservices and multi-cloud IT landscapes

StackState has you covered from legacy systems to microservices. From on-premise to multi-cloud. Automatically consolidate all your data in one easy to understand topology interface.