Many teams are rushing to adopt AI, but few are asking the most critical question:
👉 What happens when AI fails?
Back in December, we published an article that remains more relevant than ever:
AI is redefining Site Reliability Engineering (SRE).
Why? Because AI inference workloads introduce new reliability challenges that traditional SRE practices were never designed to handle.
In this article, we break down:
🔹 Why unreliable AI can be more damaging than having no AI at all
🔹 How inference workloads reshape performance, latency, and trust requirements
🔹 The new failure modes SRE teams must learn to detect and mitigate
🔹 How RELIANOID helps organizations build reliable, observable, and resilient AI-driven systems
If you’re working with AI in production — or planning to — this is a must-read.
🔗 https://www.relianoid.com/blog/ai-reliability-engineering-the-new-era-of-sre/
#AI #SRE #DevOps #ReliabilityEngineering #AIInfrastructure #Observability #RELIANOID
