RunLLM

Aqueduct automates the engineering required to take data science to production. By abstracting away low-level cloud infrastructure, Aqueduct enables data teams to run models anywhere, publish predictions where they're needed, and monitor results reliably.

Verified API available
Quick facts
What is it Aqueduct automates the engineering required to take data science to production. By abstracting away low-level cloud infrastructure, Aqueduct enables data teams to run models anywhere, publish predictions where they're needed, and monitor results reliably.
Pricing Unknown
Platform Web Application
API Yes
Best for Investigating production incidents and alerts, Reducing mean time to resolution (MTTR) for outages
Domain registered 2023

Data updated Aug. 1, 2026

What does RunLLM do?

RunLLM is an AI-powered site reliability engineering assistant that helps teams resolve technical incidents faster. When alerts fire, it automatically investigates by correlating data across your observability tools, logs, metrics, traces, and ticketing systems. Instead of engineers spending hours manually hunting through different platforms, RunLLM delivers evidence-backed investigations with clear root cause analysis and prioritized next steps for mitigation within minutes.

The tool stands out through its practical safety features and continuous learning capabilities. It starts in read-only mode by default, requiring explicit approval before taking any actions like opening PRs, and uses OAuth-based access with scoped permissions. What makes it particularly valuable is how it learns from every investigation and user correction, improving its effectiveness over time and capturing tribal knowledge that might otherwise be lost when team members move on.

RunLLM is specifically designed for SREs, DevOps teams, and software engineers who are on call. It's most beneficial for organizations struggling with alert fatigue, lengthy incident resolution times, or knowledge silos. The tool delivers immediate value by ramping up new team members faster and providing veteran-level guidance during critical incidents, ultimately helping teams sleep better knowing they have an always-on AI assistant monitoring their systems.

#ai sre#alert management#devops#incident response#monitoring#observability#root cause analysis

Key features

What makes it stand out
01
Correlates alerts, logs, metrics, and tickets for rapid root cause analysis
02
Delivers evidence-backed investigations with clear mitigation steps
03
Integrates with existing observability tools and chat platforms like Slack
04
Operates in read-only mode by default for safety and requires approval for actions
05
Continuously learns from incidents and corrections to improve over time

Who is RunLLM for?

Who benefits most from this tool
Investigating production incidents and alerts
Reducing mean time to resolution (MTTR) for outages
Documenting and learning from post-incident analyses

Trust & presence

Domain Domain registered 2023

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