Enterprise IT systems have evolved into extensive, highly distributed networks that include cloud infrastructure, applications, data platforms, and increasingly AI-driven workloads. While observability tools have improved metric, log, and trace collection, understanding system failures and rapid response remains a tough issue. As complexity grows, the focus is shifting from dashboards and alerts to agentic AI systems that can analyze operational data, minimize labor, and take corrective actions.
SolarWinds provides solutions for monitoring, understanding, and resolving issues in complex, distributed systems. Initially a leader in network and infrastructure monitoring, the company now supports modern applications, cloud environments, containers, and AI workloads, with an emphasis on reducing operational effort.
Krishna Sai, the Chief Technology Officer at SolarWinds, discusses with Sean Falconer how the company is innovating observability using AI, the design of agentic systems for critical environments, AI-assisted programming’s impact on engineering workflows, and the importance of collaborative platforms for humans and autonomous agents.
*Full Disclosure: This episode is sponsored by SolarWinds.*
Sean Falconer is an AI Entrepreneur in Residence at Confluent, with a background in academia, startups, and work at Google, he has published on various topics, from AI to quantum computing. Connect with Sean on LinkedIn.
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