Edge computing: Centralizing services into data centers
Edge computing is computing that takes place near the physical location of either the user or the source of the data. By placing computing services closer to these locations, users benefit from faster, more reliable services and companies benefit from the flexibility of hybrid cloud computing. Edge computing also allows the compute-intensive parts of a rendering pipeline to be offloaded to the cloud, preventing lags in computing power.
Additional Edge computing resources
How to build RHEL images for edge deployments
Learn how to build Red Hat Enterprise Linux images for edge deployments using infra.osbuild collection.
Bring your Kubernetes workloads to the edge
Find out what's new with cloud-native edge computing, using containers for edge workloads, and what to expect from WebAssembly and the Wasi runtime.
Deploy Quarkus everywhere with Red Hat Enterprise Linux (RHEL)
Develop a Quarkus edge app to process MQTT messages. Learn to start an MQTT broker with Podman, use Quarkus in dev mode, and build an app image with Podman.
Deliver your applications to edge and IoT devices in rootless containers
Learn how to use systemd, Podman, and Red Hat Ansible Automation to automate and push rootless containers to Red Hat Enterprise Linux and IoT edge devices.
Developing at the edge: Best practices for edge computing
As edge computing's importance increases, let's look at the best practices application developers should consider when developing for the edge.
