Fuel innovation by placing applications closer to users and data with Red Hat OpenShift
Edge computing helps businesses become more proactive and dynamic by placing applications and processing power closer to the devices and sensors that create or consume data—enabling them to gather, analyze and turn large dataflows into actionable insights, faster.
Edge computing goes beyond gathering and processing data—it opens up the ability to create new customer experiences for latency sensitive applications such as AR/VR, remote learning or healthcare, and streaming media. By being able to support low-latency applications, organizations are able to better meet user expectations for a great application experience.
To make edge computing successful, applications need to work consistently across a wide range of systems and IT operations teams need to be able to automate their management and security effectively in order to handle the scale of potentially hundreds to thousands of locations and/or clusters.
That’s where containers and enterprise Kubernetes come in. Kubernetes eases the burden of configuring, deploying, managing, and monitoring even the largest-scale containerized applications, providing organizations with the ability to develop applications once, and deploy them anywhere. Developers write code without worrying if it will work in a particular architecture, and the operator framework provides the automation needed to simplify day 1 and day 2 operations helping IT operations teams benefit from a consistent platform that runs across on-premises, public, hybrid, or multi clouds as well as the edge.
Red Hat OpenShift extends the capabilities of Kubernetes in smaller footprint options. It enables a “develop once, deploy anywhere” operational model with choice, freedom, and flexibility, especially important for organizations who need a platform that gives developers access to the tools they need to rapidly iterate on applications in a consistent way from the data center all the way to the edge.
Full stack automated operations, cluster and multi-cluster management, security, governance, and compliance enabled by a portfolio that includes Red Hat Advanced Cluster Management for Kubernetes lets your IT operations teams maintain control, visibility and management of hundreds to thousands of edge locations consistently, so that you can place your applications where it makes most sense for your business, even in the most remote locations.
Automation creates nearly autonomous operations through the same Kubernetes tooling and experience across the stack with technologies including Operators.
Several industries are discovering the opportunities that bringing edge computing together with cloud-native applications and cloud operational models can create. From telecommunications providers bringing together the powerful combination of 5G with edge computing meet the demands of growing numbers of and bandwidth hungry applications, manufacturing plants using AI-powered intelligent applications to proactively discover and solve problems in near real-time, to powering tomorrow’s smart cities.
Boosting manufacturing efficiency and product quality with AI/ML, edge computing and Kubernetes.
Kaloom has adopted OpenShift for its Control Plane Software and a programmable P4 environment for its data plane.
Intel and Red Hat’s partnership brings 5G, edge computing, AI into reality.