Can a K8s interface bridge DevOps, platform engineering, devs, and AI agents?
Radar brings together K8s topology, resources, Helm, GitOps, service traffic, event timelines, audits, RBAC, cost visibility, upgrade impact analysis, and an MCP server for AI agents.
We're Live 👇
I had the privilege of contributing as an Exam Developer for the Model Context Protocol (MCP) Associate exam in partnership with @linuxfoundation
🔗 Credly: https://t.co/A4GoZc8Zyg
(1/1)
And for those already working with MCP:
What should an MCP certification test that a tutorial or simple demo cannot?
I'd love to hear perspectives from AI engineers, platform engineers, DevOps practitioners, open-source maintainers, certification experts, and MCP builders. (9/9)
Kubernetes Not Needed? AI Is Just an HPC Workload!
What happens when we stop assuming that every modern AI workload needs Kubernetes?
Join us live: https://t.co/7aHSma6oxH
Packt is running a session on Architecting Agentic Development Platforms with Harness Engineering that looks beyond the AI model and asks a more practical question:
Packt has provided an exclusive 30% discount for my network. -https://t.co/hujuGk0Jha
🚀 Is the Kubernetes UI about to change?
Our latest @cloudnativefm episode will explore Radar🤔
💬 What should we discuss in upcoming CloudNativeFM episodes?
Drop your Kubernetes, DevOps, Platform Engineering, GitOps, AI or MCP questions below 👇
🔗 https://t.co/g8wXyO7iQV
🥳 Another year of being a CNCF Ambassador.
Happy to continue working with the amazing @CNCFAmbassadors squad. So many wonderful people worldwide are sharing knowledge and creating spaces for new folks to get involved. Onward!
https://t.co/sEfuDXaXEW
The cloud-native landscape is changing rapidly. Orgs are no longer asking only, "Which cloud should we use?"
They're increasingly asking:
👉 Where should our data and workloads run?
👉 How much control do we have over our cloud infra?
LIVE Q&A
https://t.co/kwK3w7vrWJ