Operations | Monitoring | ITSM | DevOps | Cloud

How does one of the world's leading AI companies keep its infrastructure reliable while shipping new models constantly? In this webinar, Devon Mizelle, Senior SRE at Mistral AI, shares the real story. Devon walks through how Mistral built an automated system that generates synthetic checks for every model the moment it goes live—no manual configuration, no forgotten monitors, no inconsistent alerting. Using monitoring as code, his team eliminated the toil of maintaining hundreds of checks across a rapidly evolving model ecosystem.

Artificial intelligence isn’t just about innovation and efficiency — it comes with hidden costs. From massive data centers and rising energy consumption to layoffs, governance, and long-term business impact, the real price of AI is often ignored. Companies rush to adopt AI, but are they calculating the true cost for the environment and their bottom line?

The full panel comes together to mark Tim Flower’s final appearance on Reality Bytes, reflecting on his impact, insight, and anchoring presence over the years. Alongside the goodbyes, the conversation turns to a landmark moment for Nexthink: the release of Spark. Framed as a pivotal shift in the capabilities of digital employee experience, Spark is explored through real-world stories and personal takes, including how it empowers employees, reduces IT friction, and redefines support.

Seer is Sentry's AI Debugging agent that has access to all the context that Sentry pulls together from your applications. Sometimes it shows up predicting bugs before they ship to prod. Sometimes it's catching issues in prod and bringing you the fix. Seer pulls from distributed traces, logs, profiles, stack traces, errors, and your codebase, and helps you find the broken parts of your application and fix them faster.