Blog
Latest articles, insights, and updates from the Castrel team.
How Castrel AI Helps Teams Investigate One Incident in Parallel
Castrel AI lets teams run multiple investigations under one incident while the activity feed and threaded comments keep responders aligned. Findings and artifacts return to the incident detail, where the team can ask follow-up questions, start new investigations, and generate an incident report.
Castrel AI Health Inspection: Find and Close Risk Before Business Impact
Castrel AI does not wait for incident alerts. It correlates historical trends, SLOs, metrics, logs, and traces to calculate a risk window, identify the abnormal path increasing resource pressure, and verify closure with a post-remediation inspection.
From Reactive Firefighting to Capacity Planning: How Castrel Forecasts Disk Growth
See how Castrel Agent autonomously runs disk capacity inspections, forecasts usage growth with Holt-Winters, calculates capacity risk windows, and turns predictions into continuous capacity planning decisions.
From SLO to Health Checks: How Visual Dashboards Become an Operational Baseline
See how Castrel generates visual SLO dashboards with charts and rules, then uses service objectives alongside alerts, traces, logs, and infrastructure signals to assess application health.
We reduced 90% OpenClaw issues with our Agent.
How we built a specialized SRE Agent to monitor and maintain AI agents like OpenClaw, addressing silent failures, cascading errors, and the unique operational challenges of AI-powered tools.
How Castrel Builds an Incident Troubleshooting Agent
This article introduces the core design philosophy of Castrel's incident troubleshooting Agent, including hypothesis-driven investigation, human-AI collaboration, and business knowledge accumulation.