Alert Noise Reduction
Focus your incident resolution efforts
In the middle of an alert storm, which alerts matter? What’s the signal and what’s the noise?
StackState’s Topology-Powered Observability understands the upstream changes that cause downstream problems. StackState uses that insight to logically group related alerts and prioritizes the ones that need your attention.
StackState automatically clusters alerts that are likely to be related, helping you sort through the noise to find the main issue.
Visualize groups of alerts and event progression over time to see exactly where the initial problem began and what components are affected.
Eliminate alert storms and immediately understand where to focus remediation efforts. Avoid duplicate incidents, false alarms and irrelevant alerts.
Correlate events across your stack for the most accurate insights. Know which teams to call.
Use StackState’s unified platform to relate different signals from different sources, from data lakes to monitoring tools to AWS to Kubernetes. Check out our many out-of-the-box integrations.
Use StackState's AI capabilities with the 4T® Data Model to analyze enterprise-wide telemetry data with self-training intelligence. StackState’s machine learning identifies and disregards irrelevant data—correlating events, reducing alert noise and detecting anomalies to generate increasingly insightful alerts.
Enrich tickets with probable root cause to further accelerate resolution.
Automatically consolidate incidents and normalize data before creating tickets in ITSM or triggering automated self-healing systems.
Group alerts to reduce the number of tickets created: the main ticket is updated rather than a new ticket being opened. StackState provides multiple pre-built integrations with common ticket handling systems.
Provide better input to power automated self-healing systems, which can do more harm than good when they try to remediate the wrong thing.
How StackState’s Alert Noise Reduction Helps You
Provide more accurate data
Improve problem resolution efficiency for all downstream systems.
Connect disciplines and provide necessary insight to all teams.
Give development, SRE and support teams access to the same detailed information across the stack.