Observability and AIOps Platform Overview

Observability and AIOps Powered by Topology

Some vendors may talk about topology, but their view is incomplete, static and siloed. StackState builds a full-stack topology from many sources, updates it with every change and correlates it with all your telemetry data.  

Our proprietary 4T® Data Model is the heart of our platform that makes better outcomes possible: root cause analysis in seconds for MTTR improvements of up to 80%, alert noise reduction of 70%, deep business impact analysis of how IT issues effect your business, and proactive anomaly detection to prevent problems before they occur.

Read our customer case studies to see the proof of real-world results.

Real Time Insights
Time-Series Topology Visualizer
Custom Views and Perspectives
AIOps Capabilities
Autonomous Anomaly Detection
Root Cause Recommender
Alert Clustering
Health State Propagation
Data Sources
Cloud and Containers
Observability Tools
StackState Agent
Development and Management Tools
Common Data Model

4T® Data Model

4T® Monitors
Process Automation
Alert Notification
Ticketing Systems
Event Handling
The 4T Data Model sits at the heart of StackState's observability platform. It provides a unique, topology-powered foundation for the most advanced observability solution available.

Common Data Model

All features and capabilities of StackState are built upon a common model that integrates and enriches all your observability data in a single fabric. Extend, customize and control StackState’s 4T Data Model to precisely reflect your IT environment.

  • The 4T Data Model provides the foundation to correlate topology, telemetry and traces coming from any observability source, in real time and over time.
  • 4T Monitors provide a fine-grained control mechanism to guard your Service Level Objectives based on any entity in the 4T® Data Model.
  • Real Time Insights

    Get role-specific, actionable observability insights into the effects of changes as they propagate through your stack, in the context of the situation you’re investigating. No more context switching, no more complex querying, no more searching for the needle in the haystack. Get the answers you need quickly.

  • Time-Series Topology Visualization helps you track the evolution of your IT environment with all its complex interactions.  
  • Custom Views and Perspectives allow you to intuitively navigate your full stack topology both historically and in real time. These views bring together all dimensions of the 4T Data Model (topology, telemetry, traces and time) and allow you to dive deep using perspectives like metrics, events and traces.
  • StackState’s Analytics environment allows you to directly query the 4T Data Model with a single language. You can query any aspect of topology and telemetry and get detailed insights into the root cause and business impact of problems.
  • AIOps Capabilities

    StackState’s AIOps capabilities accelerate understanding of cause and effect from a large volume and variety of observability data. We augment human judgement with the help of AI to drive accurate decision-making and automation in downstream systems, increasing organizational efficiency.

  • Autonomous Anomaly Detection leverages machine learning on your most important metric streams to prevent issues from impacting your business. 
  • Root Cause Recommender automatically determines the most likely changes and anomalies that are the causes of a (potential) failure.
  • Alert Clustering allows you to cut through the noise of any alert storm.
  • Health State Propagation enables teams easily see how a problem in one area may propagate to other services that depend on it, helping them understand the effect a change has on other parts of the stack. StackState notifies affected teams proactively whenever there are potential impacts to their services and helps them spot problems quickly. 
  • Data Sources

    StackState allows flexible data ingestion from any data source and any data type in near-real time. Use our out-of-the-box integrations or customize data ingestion pipelines to feed our common data model. Unlike other observability platforms, data can be ingested directly or reused without the need to copy it over from existing sources.

  • Cloud and Containers have pre-built integrations that let StackState automatically track your environment’s full topology, derive the golden signals with eBPF and ingest OpenTelemetry traces from your Kubernetes environment and from the cloud it is deployed on. 
  • Many Observability Tools, monitoring tools and data lakes are deeply integrated with StackState, allowing you to harvest rich data from these tools, unify it and operationalize it, protecting and enhancing your existing investments. StackState can import the data or can use it in its original location – no need to make resource-intensive copies. 
  • The StackState Agent automatically discovers and ingests in-depth observability data from any machine running Linux or Windows, capturing details on components like network connections, containers, processes and configuration changes. 
  • Development and Management Tools such as CMDBs and CI/CD pipeline tools also contribute data directly into StackState, enabling your team to track any changes that are pushed into your IT environment and see their impact over time.
  • StackPacks deliver out-of-the box integrations and allow you to create your own extensions to the StackState platform. 
  • Process Automation

    The StackState platform has deep integration capabilities that let you respond to events directly in the tools where you execute your day-to-day work. Our automation capabilities can trigger communication through team channels such as messaging systems, on-call systems, ITSM and engineering tools, to provide information on the spot.

  • StackState’s Alert Notification sends smart alerts to all known communication channels, enriched with information from StackState’s anomaly detection, root cause analysis and business impact analysis.
  • StackState’s integration with Ticketing Systems creates tickets and keeps them up-to-date based on smart algorithms. We automatically combine issues generated by the same root cause into one ticket, enhancing productivity and avoiding alert storms.
  • Event Handling provides a programmable mechanism that allows you to automatically respond to any change in the common data model.