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Fill in the form to the right and you'll get instant access to a reprint of the GigaOm Radar for Kubernetes for Edge Computing, 2025, courtesy of Spectro Cloud.
This detailed, robust analysis demystifies the edge Kubernetes landscape. It offers:
- A thorough evaluation of ten major vendors operating in this market
- Insight into the key features you should look for, to help accelerate your vendor selection
- Exploration of emerging features and decision criteria in this fast-changing technology category
Check out the Radar graphics below to see how we stack up in both edge and managed K8s, and keep reading for an excerpt from the Managed Kubernetes radar.
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Hear from the analysts
"Spectro Cloud has gained recognition for its innovative approach to Kubernetes lifecycle management, delivering flexibility without sacrificing control or security.
Palette is an integrated solution that combines Kubernetes cluster management with advanced governance and security features. It provides end-to-end automation for deploying and maintaining Kubernetes clusters, making it easier for enterprises to manage complex environments. The platform is designed to work seamlessly across public clouds, private data centers, and edge locations, offering users a unified interface for managing diverse workloads.
Spectro Cloud is positioned as a Leader and Outperformer in the Innovation/Platform Play quadrant of the Managed Kubernetes Radar report due to its innovative approach to enterprise Kubernetes management and a strong focus on composable computing capabilities
Spectro Cloud Palette is ideal for large enterprises with complex hybrid or multicloud environments that require centralized Kubernetes management across public clouds (AWS, Azure, GCP), private data centers (VMware, OpenStack), and edge locations. It is particularly suited for industries with stringent security and compliance requirements, such as finance or healthcare.
Additionally, Palette’s support for edge computing makes it a strong fit for organizations needing to manage lightweight clusters at the tactical or device edge."
