Software Engineering Daily
24 February 2026
Enterprise IT systems have grown into sprawling, highly distributed environments spanning cloud infrastructure, applications, data platforms, and increasingly AI-driven workloads. Observability tools have made it easier to collect metrics, logs, and traces, but understanding why systems fail and responding quickly remains a persistent challenge. As complexity continues to rise, the industry is looking beyond dashboards The post Engineering AI Systems for Autonomy and Resilience with Krishna Sai appeared first on Software Engineering Daily.
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