What Happens to a VM’s IP When It Moves During Migration?
Why VM IP identity needs handling on Kubernetes A KubeVirt VM runs inside a pod. That is the trick that lets Kubernetes schedule a VM like any other workload. It also means the VM and... The post What Happens to a VM’s IP When It Moves During Migration? appeared first on Tigera, Creator of Calico .
Read the full story on Tigera BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
More from Tigera
Recent updates from Tigera, so you can tell whether this is a one-off or part of a pattern.
The Clearinghouse For AI Agents Has A Blind Spot
Jamin Ball’s recent piece, “Systems of Record Won the SaaS Era, Clearinghouses Will Win the Agents Era” is the cleanest articulation I’ve seen of where the durable moat goes next. His argument is simple... The post The Clearinghouse For AI Agents Has A Blind Spot appeared first on Tigera, Creator of Calico .
HITL for autonomous agents: Where does the human go?
Human approval is easy when you are sitting in front of the agent. For an agent running by itself in a cluster, almost none of that holds. You’re in a meeting and your agent is... The post HITL for autonomous agents: Where does the human go? appeared first on Tigera, Creator of Calico .
AI Agents on Kubernetes 101: From Laptop Script to Production Pod
In short, this is a beginner’s guide to deploying an AI agent on Kubernetes. You will containerize an agent, store its API key as a Kubernetes secret, write a deployment with health probes and resource... The post AI Agents on Kubernetes 101: From Laptop Script to Production Pod appeared first on Tigera, Creator of Calico .
More in Containers & Kubernetes
What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service), you bring prompts and a reward function; we handle the infrastructure and the…
Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications
The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering…
Why your startup needs open models alongside frontier APIs
Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core product workflows. Yet as startup architectures mature, a clear divide has emerged between teams struggling with margins and those scaling sustainably. The most effective engineering teams have…