Operations | Monitoring | ITSM | DevOps | Cloud

Scaling AI Reliability: Real world lessons from Mistral AI

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.

The Hidden Cost of 30% AI-Generated Code #speedscale #aicoding #devops #technews #ai

AI now writes 30% of Big Tech’s code, but the resulting surge in defects is crashing platforms like AWS and GitHub. Manual testing can no longer keep up with this velocity; it's time to deploy AI Quality Agents to save our systems. Is AI speed worth the decline in code quality, or are we headed for a breaking point? Let me know if you’ve noticed more bugs in your workflow lately. Video collab with @ScottMooreConsultingLLC.

Log Drains Now Available: Bringing Your Platform Logs Directly Into Sentry

Sentry now supports log drains, making it easy to forward logs into Sentry without any application code changes or manual project-key lookups needed. If your logs already exist somewhere else, you can now see them alongside errors and traces in Sentry, no code changes required. Already want to get started? The quickstart guide is one click away.

Why Context, Not Prompts, Determines AI Agent Performance

Prompt engineering improves single responses, but agent performance is determined by how execution context is captured, replayed, and constrained over time. For the past few years, enterprises have obsessed over prompts, with entire roles emerging around their design and an ecosystem of tooling and templates following close behind. This focus delivered early gains because it allowed teams to rapidly improve outputs without modifying the surrounding system. Over time, those gains flattened.

Datadog acquires Propolis

Generative AI enables teams to write and ship code faster than ever. But current methods for testing and quality assurance have not evolved to match the new pace and scale of deployments. Manual and deterministic testing paths quickly become obsolete when new features are released, and they fundamentally can’t test AI outputs, leaving a massive untested surface area. To keep up, teams need new testing methods that can define what goals users have, and ensure that their outcomes match.

#051 - Surviving the Shift: From Legacy Monoliths to Day 2 Chaos with Hayato Shimizu (Digitalis)

From the early days of "neural nets" and WebSphere to the modern complexities of Kubernetes, Hayato Shimizu has seen the evolution of infrastructure firsthand. In this episode of Kubernetes for Humans, the co-founder of Digitalis joins the show to discuss the harsh realities of enterprise platform engineering and his personal journey from corporate employee to consultancy owner.

How Qovery uses Qovery to speed up its AI project

Discover how Qovery leverages its own platform to accelerate AI development. Learn how an AI specialist deployed a complex stack; including LLMs, QDrant, and KEDA - in just one day without needing deep DevOps or Kubernetes expertise. See how the "dogfooding" approach fuels innovation for our DevOps Copilot.

How to Buy ISBN Numbers Step-by-Step (Without Overpaying or Getting Scammed)

You have done it, the manuscript is polished, the cover is designed, and you are ready to share your story with the world. But before you can see your book on a physical or digital shelf, there is one last technical hurdle to clear: securing your ISBN. In 2026, the process to buy isbns is remarkably fast, but it is also filled with pitfalls that can cost a first-time author hundreds of dollars in unnecessary fees.

Safety Above All: Choosing the Right Fall Protection Solution for Your Job Site

In the world of construction and industrial maintenance, the stakes are literally high. Falls remain the leading cause of fatalities in the workplace, and yet, many of these tragedies are entirely preventable. Selecting a fall protection solution isn't just about checking a compliance box for OSHA; it's about building a culture of safety where every worker feels secure enough to do their best work. But with so many options-from guardrails to personal fall arrest systems (PFAS)-how do you determine which is the right fit for your specific project?