Control the chaos with confidence. Relate any app, to any stack, across any point in time.

Dependency Maps

StackState's auto-discovery feature dynamically identifies Kubernetes services and resources, then visualizes their dependencies to provide a holistic view of your entire cluster. You can now understand complex relationships, track resource changes and monitor service performance, even those you don't directly manage. This comprehensive view facilitates faster issue identification and resolution. StackState creates these maps for pods, nodes and any other resource type in your cluster.


Remidiation guides

Remediation Guides

StackState provides guided remediation help to accelerate issue resolution, leveraging advanced algorithms to provide troubleshooting hints and visual assistance. Our remediation guides can be extended or modified to make them even more specific to your environment. They provide an excellent way for Site Reliability Engineers to support their development teams and help maintain high quality services.

Dynamic Out-of-the Box Dashboards

Our dashboards aggregate and correlate all relevant metrics, logs, traces and events, providing a unified view of your Kubernetes environment. Troubleshooting a pod or other resource? All the critical data for this resource is brought together in a single screen. This combined data eliminates the need for context switching between multiple tools, letting you focus on more critical tasks.


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StackState seamlessly integrates its alerts with popular communication tools such as Slack, Microsoft Teams, PagerDuty and OpsGenie, so your team stays updated on critical issues in the channels you already use daily. By streamlining alerts and notifications, StackState enables swift response and efficient collaboration, enhancing your team's ability to remediate incidents.

Applied Best Practices

Our platform incorporates Kubernetes expert practices by providing pre-configured monitors that detect common issues, ensuring compliance and adherence to industry standards.  Combining monitors with our unique troubleshooting intelligence, StackState quickly detects issues that are related and gives advice on how to remediate them. This proactive approach reduces the risk of undetected problems and helps maintain a healthy and robust Kubernetes environment.



Change Tracking and Topology Intelligence

Change tracking and topology intelligence are essential for effective troubleshooting.  StackState excels in tracking all changes and correlating them with topology and relevant metrics. This analysis of topology together with other data, called topology intelligence, allows for a more focused approach to identifying issues. With the typical rapid changes in Kubernetes landscapes, keeping track of changes in an automated way will augment human understanding of what is going on. Topology provides the essential foundation for dependency maps. At the same time, it is the anchor to correlate all data and it forms the foundation for the dynamic dashboards.

Time Travel

Time travel is a powerful capability for troubleshooting. StackState stores both changes and topology over time, giving you the ability to “scroll back through time” and see what your resources and services looked like at any given moment. Time travel lets you compare system states before and after a change, showing you how an issue evolved as well as how issues are related. Insights from time travel are essential for conducting blameless postmortems, enabling teams to understand problems' root causes, refine processes and prevent future incidents.

Time Travel


Root Cause & Impact Analysis

Pinpoint precision of what and who are affected.

  • Automatic Problem Clustering.

  • Automatic Root Cause Analysis.

  • Automatic Impact analysis.

Autonomous Anomaly Detection

Your data with our powerful analytics.

  • Zero configuration

  • Automatic selection streams

  • Helps to find the cause of a problem



Alerting & Event handling

Say goodbye to the alert storms.

  • Get alerted on critical issues.

  • Ability to alert on single components/ services or on flexible selections of components/services.

  • Avoid alert spoil, get only alerted per problem, not per monitoring event.

  • Get notifications via e-mail, Slack, ServiceNow, and other channels.

  • Share anything with anyone.

Role-Based Access Model

Fine-grained access control for data.

  • RBAC and OpenID support.

  • Share parts of the 4T Data Model with different stakeholders.

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4T Data Model

Insight into your entire IT landscape.

  • Directly link all the important context from your existing tools, e.g.:

    • Logs from Elastic

    • Telemetry from AWS

    • Health from your custom monitoring tools

    • Metadata from you (infrastructure) components

  • Seamless user experience, whether the data is coming from multiple data sources and whether the data is of a different type, e.g., topology, events, metrics, logs, traces.

Programmable Ingest Pipelines

All together now.

  • All pipelines merge into a single interconnected model, the 4T Data Model, on top of which all StackState's features are built (e.g., root cause & impact analysis, single pane of glass, etc.).

  • Easily adjust the way data merges into the 4T Data Model at any point in time.




  • Automatically monitor modern microservice and cloud platforms.

  • Discovery service and infrastructure maps in a hybrid on-prem, cloud, and container environment.

  • State of the art low-overhead discovery.

Distributed Application Performance Monitoring

  • Full stack, single pane of glass.

  • Trace requests from end to end across distributed systems.

  • Automatic 'Dashboards' for any intersection of services, including events, metrics, traces, topology (integrated service and infra maps) perspectives.


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Agentless integrations

  • Integrate existing monitoring, event management systems.

  • Integration with cloud vendors to get an always up-to-date service and infrastructure map.


  • Auto-discovery of host, processes, services, and their communication.

  • Support for tracing (Java, .Net, Traefik, Amazon X-Ray).

  • Support for containers.


Datalake integrations

  • Telemetry from external systems is seamlessly integrated (e.g., use all your metrics, logs in StackState without the need to copy all data over).

  • Support for all major data lakes, including Elasticsearch, Splunk, Humio, and Prometheus.


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Open platform

Integrate any tool with our open platform.

  • Use our Agents to instrument your app, monitor your hosts, containers, and clouds.

  • Use our Integrations to integrate with all your technologies.

  • Include your existing monitoring and IT management systems to get a single pane of glass.

  • Write your own integrations in a matter of hours.

  • Use our Restful HTTP API for full data access.

  • Use our CLI for command-line access.

  • Create your own quick actions to tightly integrate with your existing workflows.