In this APM Digest article, DH2i CEO & Co-Founder, Don Boxley, elaborates on why AI observability needs to expand its focus from not just monitoring the AI models themselves, but also ensuring that the entire workload stays running. AI applications depend on databases, APIs, networks, cloud infrastructure, and other systems that can cause failures even when the model is working correctly.
As AI becomes more critical to business operations, organizations need to combine AI-specific monitoring with traditional application and infrastructure observability. Ultimately, the goal is simple: ensure AI workloads remain available, secure, and able to complete their intended tasks.
Read the full article here: APM Digest
If you’re interested in learning more about DH2i’s approach to smart high availability technology, get signed up for a one-on-one demo today.
Josh Achtemeier
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