Komodor is an autonomous AI SRE platform for Kubernetes. Powered by Klaudia, it’s an agentic AI solution for visualizing, troubleshooting and optimizing cloud-native infrastructure, allowing enterprises to operate Kubernetes at scale.
Proactively detect & remediate issues in your clusters & workloads.
Easily operate & manage K8s clusters at scale.
Reduce costs without compromising on performance.
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The missing UI for Helm – a simplified way of working with Helm.
Visualize Crossplane resources and speed up troubleshooting.
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SRE teams are about to feel even more pressure. GPU-heavy computing is breaking the assumptions today's clusters were built on, while enterprises are beginning to trust autonomous operations and cost pressure is pushing consolidation across the cloud-infrastructure stack. Based on these forces, here are my 2026 Kubernetes predictions as well as some best practice recommendations to help platform teams prepare for what reliable operations will mean next year.
There's a bigger story here that every platform team needs to understand: K8s is finally acknowledging that cluster utilization is fundamentally broken.
If you missed the event or couldn't attend every session, here are the talks that captured some interesting (IMO) technical shifts happening in the Kubernetes ecosystem.
We aren't building a chatbot to suggest recipes. We are building systems that, armed with kubectl permissions, have the potential to take down production with a single, wrong command. This demands we elevate our standards far beyond "good enough."
The teams that learn to build and coordinate AI agent capabilities alongside human expertise will be the ones that thrive in the increasingly complex world of Cloud-Native infrastructure and recover faster when AI-driven incidents become more common.
Cost optimization is no longer a peripheral “FinOps problem” delegated to a separate finance team. It is a core SRE concern, a technical challenge that must be solved at the engineering layer.
KubeCon 2025 confirms AI on Kubernetes is a production reality. This post explores the platform challenges, from managing large LLMs and GPU resources to empowering new personas like data scientists, and the shift toward self-service and intelligent, automated operations.
This year’s KubeCon underscored a real shift: AI SRE has gone mainstream. The question isn’t whether AI SRE helps. It’s which one you can trust in production.
With autonomous self-healing and continuous optimization, we're flipping the script on the traditional management model. Organizations can move from firefighting to proactive resilience. The traditional reactive model can't scale with the complexity and pace of modern cloud-native infrastructure. Teams that adopt autonomous operations gain compounding advantages: more time for innovation, lower operational costs, better reliability, and SRE teams focused on building the future instead of firefighting the present.
Gain instant visibility into your clusters and resolve issues faster.
