At the EU KubeCon conference in London, key themes included multi-cluster management, AI workloads, and reducing Kubernetes costs on the cloud.
Vendors emphasized the growing importance of multi-cluster management tools to address the challenges of managing multiple Kubernetes clusters efficiently.
Companies like SUSE, Mirantis, and Huawei showcased solutions for multi-cluster management, enabling unified dashboard visibility and scalability.
AWS introduced Amazon EKS Hybrid Nodes to unify Kubernetes management across different environments, including on-premises infrastructure.
AI workloads were a prominent focus, with tools like Anthropic's Model Context Protocol and Solo.io's MCP Gateway streamlining interaction between AI agents and tools.
Huawei, Red Hat, and VMware presented solutions for managing AI workloads, optimizing performance, and ensuring security and compliance.
Zesty and Amazon EKS Auto Mode offered cost-effective solutions for running Kubernetes on the cloud, optimizing resource allocation and reducing unnecessary capacity.
LoftLabs introduced virtual clusters for efficient resource management, while Cloud Native Buildpacks enhanced security by transforming application source code into container images.
Dash0, an observability company, emphasized AI-driven approaches to streamline observability tasks, providing cost transparency and efficient data triaging.
Cycloid showcased a Kubernetes sustainable platform engineering solution focusing on digital sovereignty, sustainability, and cost reduction through centralized cloud cost tracking.