AI has to be auditable to be reliable
In this clip from an AI roundtable with Gremlin, Nobl9, and PagerDuty, Mandi Walls talks about how companies will want to audit AI to keep it reliable.
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Is your AI data leaving the UK?
Are you at the mercy of global data centers? In this session from our "From Idea to Agent" webinar, Ben Norris (AI Engineer at Civo) discusses why organizations are moving away from US hyperscalers. Learn how UK sovereign infrastructure ensures your sensitive data stays within national borders and subject only to local law.
How Cisco Revolutionized Platform Engineering with Komodor's Agentic AI
In the world of cloud-native infrastructure, complexity is the silent killer of innovation. For Cisco Outshift, the company’s incubation engine, managing a sprawling environment of AWS EKS clusters and edge-based MicroK8s workloads created a classic bottleneck: the Platform Engineering team was drowning in toil. Facing SRE burnout and the limits of human scaling, Cisco embarked on an ambitious journey to evolve its internal operations from standard DevOps to Agentic AI.
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.
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.
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.