Kubecon 2022: The Road Ahead Takes Kubernetes to the Edge

Applications at the so-called Far Edge often deliver a high return on investment, whether they’re driving more efficient oil extraction, virtual reality shopping or a more effective (and safer) factory floor.  But these deployments are complex and challenging to deploy and manage, encompassing thousands of distributed sites (and systems) with custom installations of hardware and software.

Kubernetes, with its native architecture of standardized code libraries and automated lifecycle management, is a natural tool for these locations.  This is particularly the case when lifecycle management tools scale and security tools harden to support and manage the thousands of sites covered by many of these applications.

But Kubernetes adoption at the edge has been limited.  The minimum resources required to operate a Kubernetes cluster or node can be too large for the power, resource footprint, network bandwidth or form factor of edge-based servers (or devices).  The inability to integrate unique devices or legacy systems makes deployment difficult.  Many customers cannot manage the customization required for the complexity of these deployments.

At the KubeCon 2022 in October, major Kubernetes solution providers made it clear that they intend to address these issues.  Two stand out the most, as Red Hat and SUSE introduced specialty configurations to serve the resource needs of the Far Edge.

Red Hat announced the developer preview (for early 2023) of Red Hat Device Edge. It’s based on MicroShift, a lightweight Kubernetes orchestration system intended for deploying and managing containers on small devices, including IoT and point of sale.  The company also released a version of Red Hat Enterprise Linux (RHEL) optimized for the edge, using minimum bandwidth for intelligent software updates.  Red Hat indicates that these offerings will allow for zero-touch provisioning, observability of overall system health and updates with automated rollback. Although the solution runs on bare metal to limit resource usage, it also allows for integration of legacy Windows-based applications using an embedded virtual machine.

SUSE made similar announcements but advanced the solution a step further.  To address resource requirements of the Far Edge, SUSE provides K3s, which it notes is the most widely adopted lightweight Kubernetes solution in the industry, and the company offers SLE Micro as a resource-efficient custom version of Linux.  K3s also supports a virtual machine for addressing legacy applications.  But, recognizing the complexity of creating and managing custom software stacks needed for the Edge, SUSE has also defined and sells a top-to-bottom layered stack of open-source software (including NeuVector security) to support the entire Far Edge infrastructure. That allows partners to easily plug in custom offerings to support unique industry requirements.  With an API-driven architecture (and the ability of Fleet to support lifecycle management of tens of thousands of nodes), partners and customers can manage the distributed environment with the automation tools necessary for success.

SUSE also announced future support of the open-source Project Akri.  Akri (originated by Microsoft and then shared with the CNCF community) enables automated discovery of downstream devices, from sensors to GPUs, for integration into a Kubernetes cluster.

These new edge-based solutions form the foundation of a toolkit that customers and partners can use to build and maintain Far Edge deployments.  But the remaining piece to complete the offering is expertise.  Both Red Hat and SUSE offer customer assistance with the proof-of-concept stage, but distributed solutions need support from POC through the multiple added stages of rollout (first 10 sites, next 100 sites, etc.) as well as ongoing management.  An expert force of partners who can deploy, maintain, and manage the thousands of custom systems is required. While oft-cited successful edge adopters at BMW, Lockheed Martin and other global enterprises have the resources to manage the unique investment and complexity of these environments, the more common commercial enterprise does not.  Widespread adoption will require assistance from Global System Integrators, industry specialists, and even local managed service provider to assemble the solutions and make them work.

Related Insights
Sovereign Cloud
April 20, 2026

Can NetApp and Google Cloud Redefine Distributed Cloud Data Infrastructure for the AI Era?

NetApp and Google Cloud partnered to deliver unified sovereign cloud infrastructure for government agencies and regulated enterprises, integrating NetApp's data platform into Google Distributed Cloud for compliant, distributed AI solutions....
Hybrid Data
April 20, 2026

Can Cloudera’s Stability Bet Win the Hybrid Data War?

Cloudera's platform enhancements enable hybrid data environments with stability, elastic scaling, and Apache Iceberg interoperability, positioning the company to serve enterprises balancing cloud and on-premises infrastructure....
Can Databricks Out-Iceberg the Competition?
April 20, 2026

Can Databricks Out-Iceberg the Competition?

Brad Shimmin, Research Director at Futurum, analyzes Databricks’ public preview of Apache Iceberg v3, detailing how deletion vectors and the VARIANT data type bring performance parity and interoperability to the...
How Big A Role Will Commvault Play In Securing Agentic AI?
April 17, 2026

How Big A Role Will Commvault Play In Securing Agentic AI?

Fernando Montenegro and Brad Shimmin, VPs at Futurum, analyze Commvault's new offerings—Data Activate, AI Protect, and AI Studio—and their strategic role in securing enterprise agentic AI ecosystems against rising competition....
Can Starburst's AIDA Crack the Enterprise AI Data Access Problem?
April 17, 2026

Can Starburst’s AIDA Crack the Enterprise AI Data Access Problem?

Starburst's AIDA represents a fundamental shift in how enterprises approach AI data access. Rather than centralizing data, agentic AI systems reason across distributed sources, addressing accuracy concerns and accelerating AI...
ClickHouse Builds a CLI to Make its Databases Agent-Native
April 15, 2026

ClickHouse Builds a CLI to Make its Databases Agent-Native

Brad Shimmin, VP and Practice Lead at Futurum, explores Cloudera’s latest hybrid data platform updates. He analyzes how the Hybrid Multi-Cloud Fabric and Iceberg REST Catalog are designed to reduce...

Book a Demo

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.