The Edge Computing Ecosystem

The Edge Management and Orchestration Ecosystem consists of a diverse set of tools and solutions which all have their strengths and weaknesses. In a growing market, it might be hard sometimes to navigate your way to the solution that fits best for purpose and solves your business’ problem. On this page, we look at a few of the most common solutions for container management at the edge and sort out how they compare to the Avassa Edge Platform.

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Avassa vs. cloud-centric edge solutions

The cloud and the edge represent fundamentally different computing environments. They differ in connectivity, resource availability, security constraints, and scale, especially in terms of the number of distributed locations. Despite these differences, many projects attempt to retrofit cloud-native tools for edge use, simply because those tools are familiar, widely available, or perceived as synonymous with containers and orchestration (e.g., Kubernetes).

Because the edge is not a smaller cloud. Avassa was purpose-built from the ground up to meet the distinct requirements of edge environments: unreliable connectivity, true site-level autonomy, minimal footprint, intrinsic security, and large-scale automation across thousands of sites. This article outlines how solutions like Avassa compare to cloud-centric edge solutions, and what makes a solution truly edge-native.

A quick typology

Cloud-centric edge architectures

While there are nuances in the ecosystem, most cloud-based edge solutions fall into one of the following architectural categories.

1. APIs at the edge for cloud communication

Often marketed under a so-called “IoT Edge” umbrella, these solutions expose APIs on devices for communication with cloud services.
They are typically designed to send telemetry upstream rather than orchestrate workloads downstream.
How do you deploy and manage applications across edge sites?
How do you ensure continued operation during disconnections?
How do you secure the edge?
Ultimately, these are cloud-first designs with thin edge capabilities, not orchestration platforms.

2. Stretching cloud clusters to the edge

A central control plane (often Kubernetes-based) manages worker nodes running at edge sites. This model works for a small number of sites with stable connectivity, but breaks down at scale.
Fragility during disconnections or reboots.
Inability to make orchestration decisions locally.
No autonomy if the control plane is unreachable.
These models introduce tight coupling to cloud availability, limiting edge resilience.

3. Cloud-deployed clusters with central fleet management

Solutions like Rancher + K3s or Azure IoT Operations place full clusters at the edge with centralized fleet managers, bringing better autonomy and some operational flexibility.
Edge autonomy is still partial. Secrets, registries, and configuration often rely on central services, and many stacks lack support for disconnected operation.
High resource footprint. Cloud-derived tools assume abundant compute, storage, and network capacity, and can overwhelm constrained hardware.
Edge applications require more than just containers: coordinated support for secrets, networking, volumes, telemetry, and more.
The result is a bloated and fragmented software stack at every site that is hard to keep compliant and secure at scale.

Cloud-tethered by design

Every decision that flows through the cloud becomes a billable event

A common trait of the first two categories is that they are fundamentally designed to drive traffic back to the cloud. Architecturally, these models centralize control, data, and orchestration in the cloud, treating the edge as a thin client — reminiscent of early IoT designs, where the intelligence resided centrally and the edge was passive. There is also a commercial dimension: major cloud providers benefit financially from designs that increase cloud dependency, encourage data egress, and monetize API usage from edge sites.

Avassa & comparable solutions

The ecosystem: comparisons

Balena

#balena

What is Balena?

Balena focuses on providing a fleet management solution for the operating system at the edge. They build OS images in their central cloud build server for a wide range of platforms. You can also deploy one application package using Docker Compose to each edge host.

Avassa is great when…

You want to simplify the application lifecycle management across many sites.
You want to pick your OS distribution like Red Hat, Ubuntu etc.
You need to run many different applications at different sites.
When security is important. Avassa sets up micro-segmented application networks, supports secrets management, encrypts traffic, configures host firewalls and more.
Multi-tenancy is required to split and share the edge infrastructure among application teams, customers, or 3rd party vendors.
You need autonomous sites with self-healing capabilities to operate smoothly despite unstable network connections.
You need flexible site networking.
You need edge application monitoring and trouble-shooting.

Balena is great when…

The main problem to solve is the OS layer and you can make use of the Balena distribution.
There is no business-critical need for edge site autonomy.
You have a simple single application that needs to go to all devices.
When you can afford to configure and setup security functions yourself.

Conclusion

Balena focuses solely on the OS layer with the OS distributions they build and support, and only provides a simplistic application container solution based on Docker Compose. Avassa addresses the OS layer through the native OS built-in support for upgrades. Most important is that Avassa solves the application layer: several different applications per site, out-of-the-box application monitoring, and — with several hosts on the site — autonomous self-healing sites, which Balena does not support.

Azure IoT

#azure-iot

What does Azure IoT do?

Azure has for some time had an offering called Azure IoT, which allows you to run container workloads at the far edge. Azure IoT lets you deploy a single container application on a single on-premise device. It does not have a concept of an autonomous cluster on the edge site. Azure IoT makes it easy to collect data from edge devices and feed that back to your central Azure cloud application.

Avassa is great when…

You need autonomous sites with self-healing capabilities. Your sites need to work with unstable network connections.
Your edge sites need to host several applications.
Multi-tenancy is required to split and share the edge infrastructure among application teams, customers, or 3rd party vendors.
Application networking is required on the site, including ingress IP and DNS records for the applications.
When security is important. Avassa sets up micro-segmented application networks, supports secrets management, encrypts traffic, configures host firewalls and more.

Azure IoT is great when…

You need a single data collection application at the edge site that forwards data to your central Azure cloud application.
There is no business-critical need for edge site autonomy.
Your application won’t benefit from site networking.
The network requirements are simple and focused on feeding data back to the cloud.
When you can afford to configure and setup security functions yourself.

Conclusion

While Azure IoT might work for limited use cases like a single data collection container, it becomes challenging to use for fully scaled application orchestration at the edge. Since you only deploy one application per device, scaling both deployments and monitoring becomes daunting. Avassa instead applies an application-centric approach purpose-built for edge, which allows robust lifecycle management for an entire upscale edge environment. Keep reading: Azure IoT Hub Migration — scalable industrial IoT and edge alternatives.

Portainer

#portainer

What is Portainer?

Portainer is an operational tool for managing Docker, Swarm, Nomad, or Kubernetes. It does not provide a Kubernetes distribution nor any cluster management of on-prem/edge clusters. Portainer provides a centralized user interface and integrated monitoring for applications on your existing clusters, and belongs to the same category as Rancher and SixSq/Nuvla in that they are over-the-top Docker Compose or similar solutions.

Avassa is great when…

You need a single coherent solution for managing the lifecycle of container applications at distributed edge sites.
You want to simplify the application lifecycle management across many sites.
When you want a flexible way of deploying applications on a large set of clusters.
Multi-tenancy is required to split and share the edge infrastructure among application teams, customers, or 3rd party vendors.
When you want a solution that includes application services like a telemetry bus, secrets manager, DNS, and application networking.
When security is important. Avassa sets up micro-segmented application networks, supports secrets management, encrypts traffic, configures host firewalls and more.

Portainer is great when…

You are looking for an operational tool to manage applications in several clusters.
You have chosen a cluster solution already and need an over-the-top tool.
You can limit yourself to deploying applications per cluster.
Multi-tenancy is not required.
You can afford to manage several software projects to build your edge stack.
When you can afford to configure and setup security functions yourself.

Conclusion

Portainer is a thin multi-site solution that uses Docker Compose or similar on the sites. Avassa gives you application-centric features like application monitoring, application networking and application services such as a telemetry bus, plus fully autonomous edge sites.

Rancher

#rancher

What is Rancher?

Rancher is a multi-cluster solution that lets you deploy and manage Kubernetes clusters. It offers centralized authentication, access control, and observability for clusters running in diverse environments. Similar to other multi-cluster solutions, it is more focused on the clusters themselves than the edge application lifecycle. It also embeds a Kubernetes distribution for the edge, K3S.

Avassa is great when…

You want a self-service portal for your edge application teams, customers or 3rd party teams.
You want application lifecycle management for the edge, including monitoring, observability, deployments and secrets management.
You require multi-tenancy across the edge sites.
You want a unified solution that includes site-local secrets and a telemetry pub/sub bus.
When security is important. Avassa sets up micro-segmented application networks, supports secrets management, encrypts traffic, configures host firewalls and more.

Rancher is great when…

You need a solution to manage Kubernetes clusters at several places.
Your use case focuses more on managing a set of Kubernetes clusters than deploying applications across a large set of edge sites.
When you can take the extra cost of integrating other projects for application services, like a telemetry bus.
When you can afford to configure and setup security functions yourself.

Conclusion

There are two major take-aways when considering Rancher or Avassa for the edge. Avassa gives you an application-centric self-service portal for your application and monitoring team, unlike Rancher, which is cluster-centric. And while Rancher works for managing a limited set of edge sites, the larger your distributed domain is, the more you will see the benefits of Avassa, which is purpose-built for the edge rather than “just” managing a set of clusters.

AWS

#aws

What is AWS ECS Anywhere?

AWS ECS Anywhere provides support for registering an external instance, such as an on-premises server or virtual machine, to your Amazon ECS cluster. You install two AWS agents on your on-premises server to make it available for registration in your central ECS cluster. Note that ECS Anywhere stretches a single host from the central cloud cluster to the on-premises compute: it still assumes a central cloud cluster for continuous control, and does not provide an on-site cluster. AWS Greengrass IoT, by contrast, is a toolkit for developing applications using AWS SDKs on an edge device, and is difficult to compare with Avassa in a relevant fashion — so this comparison focuses on ECS Anywhere.

Avassa is great when…

You need autonomous sites with self-healing capabilities. Your sites need to work with unstable network connections.
When you want to utilize an application developer self-service portal for your edge.
Multi-tenancy is required to split and share the edge infrastructure among application teams, customers, or 3rd party vendors.
Application networking is required on the site, including ingress IP and DNS records for the applications.
When you need out-of-the-box monitoring for your edge applications.
When you need an application-centric way of deploying applications across edge site clusters.

AWS ECS Anywhere is great when…

You need a single data collection application at the edge site that forwards data to your central AWS cloud application.
There is no business-critical need for edge site autonomy. You can assume that the edge is always connected to the AWS cloud.
Your application won’t benefit from flexible site networking.
When the value of reusing AWS tooling for both cloud and edge is higher than adapting supplementary tooling purpose-built for edge.
When you can afford to build and integrate an application-centric edge monitoring solution using AWS tools.
When you can live with deploying applications per cluster.

Conclusion

AWS ECS Anywhere targets simpler data collection applications at the edge. If your architecture is heavy on the AWS cloud side and you have a limited number of small, non-business-critical containers at the edge, it might be the right tool. But for frequent deployments of more complete container applications in up-scale edge environments, a purpose-built solution with local clustering is the better call. A common setup among our customers is the hybrid one: Avassa for the edge, AWS for the central cloud — Avassa’s secure vaults distribute AWS credentials to the edge application, and the Avassa Fluent Bit plugin ships logs and metrics to CloudWatch.

SixSq: Nuvla

#nuvla

What is SixSq / Nuvla?

In the Nuvla portal you can monitor the status of your edge nodes and deploy applications in the form of Docker Compose to individual edge sites. Nuvla assumes you run Docker Compose and Swarm on your edge nodes, so from an edge node perspective you get what the Docker family gives you at the edge site. Nuvla falls into the category of over-the-top solutions for Docker Compose/Swarm, similar to Portainer.

Avassa is great when…

You need a coherent single solution for the edges and central management.
You want to simplify the application lifecycle management across many sites.
You want an application-centric solution.
You need full historic and real-time logs.
Multi-tenancy is required to split and share the edge infrastructure.
You need edge application services like distributed secrets and a telemetry bus.

SixSq: Nuvla is great when…

You are looking for an operational tool to manage multiple Docker Compose nodes.
You are looking for a Rancher or Portainer alternative.
You don’t need infrastructure monitoring.
You only need recent distributed log history.
You do not need multi-tenancy.

Hashicorp Nomad

#nomad

What is Hashicorp Nomad?

HashiCorp Nomad is a workload orchestration system that allows you to automate the management of containerized and non-containerized applications across hybrid and multi-cloud architectures. While Avassa is purpose-built for the edge, Nomad does not focus primarily on the edge use case, but is rather more targeted at central data centers.

Avassa is great when…

You need to manage applications across many heterogeneous, distributed edge sites.
The locations in which you run applications carry meaning, e.g. specific stores, restaurants, factories, devices etc.
You need an application-centric view of your distributed edge environment at scale.

Hashicorp Nomad is great when…

You need to manage hybrid workloads in a few central data centers and multi-cloud solutions.
The specific location is unimportant, and clusters run in central data centers.
It’s sufficient to lifecycle manage applications using a cluster-by-cluster abstraction level.

Conclusion

While Nomad is a good product to manage workloads in a few central data centers, it is not built for the edge use case. When considering the distributed edge you need to look at how you manage your distributed edge site clusters and the applications running across them. That is not what Nomad was built for.

Built for the edge from the beginning

Full edge autonomy, seamless operation during disconnects, and automated orchestration across thousands of sites.

Learn about the Avassa Edge Platform