Safely Troubleshooting Customer Production Incidents Using MCP and AI Skills

Guillaume Da Silva, a Staff Solutions Architect at Qovery, discusses how the company's MCP server and AI skills enhance troubleshooting of customer production incidents by transforming vague issues into detailed, evidence-backed diagnoses. By leveraging the MCP server, agents gain access to real infrastructure data, enabling them to systematically gather and analyze information about organizations, environments, and services without making autonomous changes. The Qovery Skills provide structured diagnostic processes that help agents understand and resolve issues, such as container memory limits being exceeded, by correlating Kubernetes events, deployment history, and application logs. This approach allows engineers to maintain control over production environments while ensuring that every investigation starts from a consistent baseline, ultimately turning support tickets into actionable insights and facilitating infrastructure optimization through informed recommendations.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.