Menu

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
CIO Take Smartsheet's Intelligent Work Management as a Strategic Execution Platform
December 22, 2025

CIO Take: Smartsheet’s Intelligent Work Management as a Strategic Execution Platform

Dion Hinchcliffe analyzes Smartsheet’s Intelligent Work Management announcements from a CIO lens—what’s real about agentic AI for execution at scale, what’s risky, and what to validate before standardizing....
NVIDIA Bolsters AI/HPC Ecosystem with Nemotron 3 Models and SchedMD Buy
December 16, 2025

NVIDIA Bolsters AI/HPC Ecosystem with Nemotron 3 Models and SchedMD Buy

Nick Patience, AI Platforms Practice Lead at Futurum, shares his insights on NVIDIA's release of its Nemotron 3 family of open-source models and the acquisition of SchedMD, the developer of...
Oracle Q2 FY 2026 Cloud Grows; Capex Rises for AI Buildout
December 12, 2025

Oracle Q2 FY 2026: Cloud Grows; Capex Rises for AI Buildout

Futurum Research analyzes Oracle’s Q2 FY 2026 earnings, highlighting cloud infrastructure momentum, record RPO, rising AI-focused capex, and multicloud database traction driving workload growth across OCI and partner clouds....
Five Key Reasons Why Confluent Is Strategic To IBM
December 9, 2025

Five Key Reasons Why Confluent Is Strategic To IBM

Brad Shimmin and Mitch Ashley at Futurum, share their insights on IBM’s $11B acquisition of Confluent. This bold move signals a strategic pivot, betting that real-time "data in motion" is...
AWS re:Invent 2025: Wrestling Back AI Leadership
December 5, 2025

AWS re:Invent 2025: Wrestling Back AI Leadership

Futurum analysts share their insights on how AWS re:Invent 2025 redefines the cloud giant as an AI manufacturer. We analyze Nova models, Trainium silicon, and AI Factories as AWS moves...
Salesforce Q3 FY 2026 AI Agents, Data 360 Lift Bookings and FY26 Outlook
December 5, 2025

Salesforce Q3 FY 2026: AI Agents, Data 360 Lift Bookings and FY26 Outlook

Futurum Research analyzes Salesforce’s Q3 FY 2026 results, focusing on Agentforce and Data 360 traction, Informatica integration, and how pricing and GTM execution set up bookings momentum into 2H FY...

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.