Managing Kubernetes at scale

The Spectro Cloud Booklet 2024 outlines the capabilities of Spectro Cloud's Palette platform for managing Kubernetes at scale, offering unified management across diverse environments—data centers, clouds, bare metal, and edge locations. The platform supports a decentralized policy model, preventing configuration drift while enabling full-stack management of Kubernetes infrastructure and applications. Key features include real-time reconciliation, zero-trust security, and self-healing capabilities. Palette is built to support a variety of environments, providing seamless scalability for thousands of clusters, edge locations, and hybrid configurations with low operational overhead.Palette also extends support for both containerized applications and VMs, offering a comprehensive Real Metal architecture that simplifies management by automating the lifecycle of not only Kubernetes but also underlying operating systems. This approach increases performance and reduces costs, especially for organizations running bare-metal servers. The platform integrates with more than 50 popular open-source and proprietary tools, giving teams the flexibility to customize and manage Kubernetes environments efficiently. For edge deployments, Palette's failsafe A/B OS partitioning ensures high availability during upgrades without downtime, even in challenging edge locations with limited connectivity or on-site IT resources. The booklet emphasizes the platform’s ability to streamline management tasks across the entire Kubernetes lifecycle, making it ideal for organizations seeking to scale with efficiency, reliability, and minimal risk. Easily integrate your favorite technologies to define how your Kubernetes clusters should look. Choose from a variety of open source and proprietary. By extending our Real Metal architecture to edge locations with a failsafe A/B OS partition approach, you can now run both containerizedand VM-based applications, without worrying about downtime during upgrades or configuration drift.