Resumo:
The rising adoption of containers as a lightweight virtualization technology has paralleled the
popularity of microservice architectures, given containers’ inherent scalability, isolation, and
ephemeral nature. While container orchestration frameworks have traditionally been utilized in
data centers, there is growing interest in deploying these frameworks on resource-constrained
devices, such as Internet of Things (IoT) devices, edge gateways, and developer workstations.
This shift is driven by the need for automated provisioning, deployment, scaling, networking, and
load balancing across diverse environments. However, with a range of container orchestration
solutions available, selecting the appropriate platform remains a challenge for developers. This
paper presents a comparative analysis of container orchestration platforms, beginning with a
literature reviewto examine various platforms and their applicability across different environments.
Following this, K3s and KOs are selected for an in-depth evaluation under a specified scenario,
focusing on their minimal resource requirements, as well as control plane. Through this approach,
we identify key factors and optimal use cases, offering insights into the suitability of these
platforms for resource-constrained hardware environments.
