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Enterprise Layer Intelligence
Categories/APM & Observability/Wild Moose
Wild Moose

Wild Moose

Founded by Roei Schuster

Investigate production alerts across telemetry and code to identify root causes automatically

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Wild Moose to act as an automated site reliability engineer across your distributed systems. It connects to your existing monitoring, log aggregators, and source code repositories to automatically investigate alerts when incidents occur. The system analyzes traces, commits, tickets, and runbooks to pinpoint exact failure causes and recommend fixes like pull request rollbacks. Over time, it updates its investigation logic based on engineer feedback, eliminates noisy alerts, and helps prevent recurring system outages.

What Wild Moose does

Investigate incoming alerts across telemetry systemsIdentify root causes in application source codeCorrelate deploy history with error spikesFilter out duplicate and transient alert noiseRecommend specific rollbacks or configuration fixesBack-test incident response models on historical failuresParse messy telemetry and documentation automaticallyAutonomous investigation across logs, metrics, traces, and codeAutomatic root cause discovery with code-level evidence mappingSelf-updating investigation rules that adapt to engineer feedbackAlert noise reduction through pattern recognition and evaluation tuningRead-only integrations that operate without storing telemetry dataOn-premise deployment option to keep data within internal infrastructureAutomated back-testing of investigation models against historical incidents

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

JiraJiraGitLabGitLabKubernetesKubernetesGrafanaGrafanaSlackSlackGithubGithubAmazon CloudWatchAmazon CloudWatchPagerDutyPagerDutyDatadogDatadog

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Wild Moose, SRE, incident response, root cause analysis, telemetry, log analysis, alert triage, Kubernetes monitoring, observability, automated debugging, runbooks, metrics, traces, site reliability engineering, production monitoring