provisioning
Beyond Market Intelligence keeps provisioning in one place: 4 stories so far. The section currently leads with “Explore smarter async API management with real-world practices from Just Eat Takeaway”, “Balancing Automated Node Efficiency with Application Availability in AKS”, and “Your sales motion is the bottleneck. Your agent is ready.”. Messaging is easy until it isn't. Azure Kubernetes Service users juggling node consolidation with application uptime now have clearer guardrails. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every provisioning story on Beyond Market Intelligence, newest first.
Explore smarter async API management with real-world practices from Just Eat Takeaway
Messaging is easy until it isn't. At scale, async APIs quietly become the backbone of event-driven systems, and Ian Cooper from Just Eat Takeaway knows exactly where the friction lives. He walks through the ABCs of messaging, Address, Binding, Contract, then shows how discovery, governance, and provisioning hold up under real-world pressure. Using AsyncAPI, CloudEvents, and schema registries, he turns theory into practice. If you're building event-driven infrastructure, this one's worth your attention.
Balancing Automated Node Efficiency with Application Availability in AKS
Azure Kubernetes Service users juggling node consolidation with application uptime now have clearer guardrails. Microsoft's new NAP guidance targets that exact tension, helping platform teams automate scaling without sacrificing availability. It's a practical step toward predictable disruption, not a promise of perfection. The efficiency gains are real, but so are the risks of aggressive consolidation. For teams exploring broader AI-driven workflow automation, our guide, *Unlock ChatGPT for Work*, offers a useful parallel in balancing automation with control.
Your sales motion is the bottleneck. Your agent is ready.
Your AI agent may be ready. Your sales motion probably isn't. That's the gap I keep watching define the agent economy, and Gutenburg's 48-hour close shows why it matters. Building smarter agents is getting easier. Getting buyers from "yes" to live deployment before urgency fades is now the real constraint. The companies winning treat distribution as a product problem, not an afterthought. And if you're still selling tickets by fax, competitors are already closing that gap.
Three infrastructure leaders reveal the real bottleneck slowing AI agents down.
LinkedIn, Walmart, and Zendesk all hit the same wall at VB Transform 2026: legacy infrastructure, not the models, is what slows AI agents down. Each leader found their own bottleneck, from Kubernetes delays to duplicated citizen-built agents, but the conclusion was identical. Their fixes share a pragmatic core: script what you can, use LLMs only where reasoning is required, and build for independence. The real engineering isn't in the model; it's in the harness around it.