Topology-Aware Observability for Cloud Native & Hybrid

Only StackState captures every change in your environment’s topology and combines it with telemetry so you can prevent issues and crush your resolution times.

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Why StackState?

StackState not only discovers and monitors your environment, we also integrate with existing monitoring solutions and merge it all into a one-of-a-kind topology-based data model that correlates all data over time. We give SREs and DevOps teams unique, contextual insights across data silos, tools and technologies, helping you improve the health and performance of today’s rapidly changing environments.

Rewind the movie of your dynamic environment

  • Use time-traveling topology to track all changes in your environment over time, such as dependencies, component lifecycles, deployments, and configuration changes

  • Get health and performance context for all your metrics, traces, events, and logs, aggregated across silos

  • Deploy in minutes, continuously discover topology and correlate it with telemetry and traces at every moment in time

  • Choose multiple low-overhead options for data collection, including eBPF agent that collects Golden Signals

Find root cause and see impact fast

  • Unify root cause analysis and impact analysis in the same view
  

  • Automatically view most probable root cause of performance issues
 

  • Use fully contextualized supporting data to accelerate forensic analysis
 

  • Crush your SLOs and reduce time wasted triaging symptoms 

Fix issues before they become problems

  • Use Autonomous Anomaly Detection to flag potential issues and accelerate root cause analysis

  • Take advantage of multiple Machine Learning models, no need for sidecar development projects


  • See tangible AIOps results after only 2 hours

  • Zero configuration required

Keep up with fast-changing cloud and containerized environments

Other tools focus on anomalies and drown you in alerts. StackState tracks all changes over time – in the context of topology – so you know what actually caused an incident.

Deliver great service in cloud and containerized environments

Topology-based observability filters out the noise and delivers results.

80%

Decreased MTTR

Decrease MTTR by 80% by identifying root cause and alerting the right teams with the right information

65%

Fewer Outages

Reduce the number of outages by 65% through real-time unified observability

84%

Cost Reduction

Reduce the monthly time, costs, and resources associated with incidents and outages

By correlating data across all infrastructure layers; from critical business and application services to underlaying IT and network components, we expect to see the root cause and related business impact up to 3x faster. StackState is considered as one of the key drivers in Vodafone’s future mission towards autonomous and predictive operations.

A New Dimension for Observability

SaaS for Cloud-native Environments

StackState’s SaaS observability platform installs in minutes to deliver deep and broad visibility into your dynamic cloud environment. See your complete topology in real time and over time, and correlate that view with comprehensive telemetry data to find and fix problems fast.

Explore StackState for Cloud Environments >

Self-hosted for Hybrid Environments

StackState’s flexible observability platform deploys on customer-managed infrastructure to unify time-series topology, telemetry, and trace data from myriad silos and produce a comprehensive, integrated view of the most complex environments.

Explore StackState for Self-hosted Environments

SaaS for Cloud-native Environments

StackState’s SaaS observability platform installs in minutes to deliver deep and broad visibility into your dynamic cloud environment. See your complete topology in real time and over time, and correlate that view with comprehensive telemetry data to find and fix problems fast.

Self-hosted for Hybrid Environments

StackState’s flexible observability platform deploys on customer-managed infrastructure to unify time-series topology, telemetry, and trace data from myriad silos and produce a comprehensive, integrated view of the most complex environments.