Enterprise IT systems have expanded into vast, distributed landscapes that cover cloud infrastructure, applications, data platforms, and AI-driven tasks. While observability tools have simplified the gathering of metrics, logs, and traces, the challenge of swiftly diagnosing and responding to system failures persists. As complexity grows, the sector is moving beyond dashboards and alerts to agentic AI systems capable of reasoning about operational data, minimizing toil, and autonomously acting when issues arise.
SolarWinds provides solutions for monitoring, understanding, and resolving problems in intricate, distributed systems. Initially renowned for network and infrastructure monitoring, the company has evolved to support modern applications, cloud settings, containers, and AI tasks, emphasizing the reduction of operational toil.
Krishna Sai, the Chief Technology Officer at SolarWinds, joins Sean Falconer on the show to discuss SolarWinds’ fresh approach to observability in the AI era, the implications of designing agentic systems for critical environments, how AI-assisted programming is transforming engineering workflows, and why the future of operations hinges on platforms where humans and autonomous agents collaborate.
Full Disclosure: This episode is sponsored by SolarWinds.
Sean has experience as an academic, startup founder, and former Googler. He has published work on diverse topics from AI to quantum computing. Currently, he is an AI Entrepreneur in Residence at Confluent, focusing on AI strategy and thought leadership. Connect with Sean on LinkedIn.
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