Operations | Monitoring | ITSM | DevOps | Cloud

Last week, someone commented on my post about 47-day certificates: This perfectly captures our collective delusion that SSL certificate revocation works. You click a button, the certificate stops working. And why wouldn’t we believe that? Every CA has a big “Revoke Certificate” button right there in the dashboard. It must do something, right? Here’s the dirty truth: most revoked certificates keep working.

This blog is based on a presentation by Guillaume, Field Chief Technology Officer at Upsun, and Robert from Ilwiin Technology during the AI Action Summit. The original French presentation has been translated and edited for clarity and accuracy. The AI field is advancing significantly, presenting organizations with the question: Should they choose open-source or commercial AI models? This choice impacts everything from costs and data privacy to long-term business strategy.

As bandwidth demands surge and applications move ever closer to the user, the crucial last mile link between networks and end users has become an obstacle for performance, reliability and flexibility.

Everyone is talking about AI models, copilots, and large language engines. They’re certainly impressive, even transformative, but they’re only part of the story. The real power of AI depends on what’s happening behind the scenes. In enterprise environments, that hidden side of AI (the infrastructure, automation, and orchestration that make everything run) determines whether an AI strategy succeeds or fails. That’s where a smarter enterprise AI solution begins.

Densify has announced Kubex AI, a major leap forward in how organizations optimize complex Kubernetes and AI environments. This new solution combines verticalized AI for resource optimization with a conversational interface, empowering anyone—regardless of technical background—to access expert-level analytics and automation through simple, natural-language interactions.

For every CFO who’s ever asked, “Can we reduce engineering costs by 15%?” there’s a CTO quietly thinking, “But at what cost?” That tug-of-war plays out inside most SaaS companies. Finance wants to tighten budgets to protect margins, while engineering and product teams push for the resources to build, test, and innovate faster. The truth is, the teams that spend most efficiently — not necessarily the least — drive the highest returns.

The continuous shift toward containerization means businesses are migrating more complex, mission-critical workloads to Kubernetes. This trend necessitates traffic management solutions that support diverse protocols (such as TCP, UDP, HTTP, and gRPC) and sophisticated organizational architectures, while delivering exceptional performance and efficiency.

Looking to visualize your Elasticsearch data with Grafana? This tutorial walks you through setting up Grafana and Elasticsearch using Docker, connecting data sources, and building insightful dashboards for log and metric monitoring.