Empower Your Business at the Edge

Data's crucial role in modern business demands efficient processing and response to vast volumes. Consequently, many businesses are decentralizing computing to the edge, aiming for quicker insights, fortified security, and cost savings. This method is called Edge Computing.

Edge Deployment in the Future

Edge deployments are increasing as organizations allocate more compute resources to meet modern business demands. By 2023, 70% of enterprises will process data at the edge, with 50% of new enterprise IT infrastructure deployed there. Additionally, there's projected to be an 800% increase in edge-deployed applications by 2024.

See what Red Hat Enterprise Linux Can Help!

Red Hat® Enterprise Linux® offers a consistent, flexible, and secure foundation for edge deployments, maximizing performance and manageability. It extends scalability, reliability, and security from the datacenter to the edge, simplifying operations and workload portability.

Utilize Features Tailored for the edge

Red Hat Enterprise Linux streamlines edge deployments with features like remote device update monitoring, staging operating system updates in the background for efficient installation on edge devices. This approach enhances workload resiliency and scales effectively across thousands of devices.

Additionally, Red Hat Enterprise Linux offers key features for edge environments:

- Rapid system image generation ensures consistency, scalability, security, and compliance.

- Edge management capabilities enable zero-touch provisioning, system health monitoring, and quick security fixes from a single interface, preserving system integrity.

- Efficient over-the-air updates with rpm-ostree reduce data usage and increase reliability, especially in low-bandwidth environments.

- Intelligent rollbacks using the greenboot framework automatically revert to the previous state if health checks fail, improving system resiliency and minimizing manual recovery efforts.

Benefit and Industries Example

Edge deployment benefits various industries, especially in scenarios with compute-intensive workloads, AI/ML, cross-region operations, and real-time monitoring.

• Improve latency and response times.

Industry examples:

► Automotive AI/ML deployment

► 5G communications 

► Crime prevention

• Modernize and connect analog and digital assets.

Industry examples:

► Predictive industrial maintenance

► Oil rig diagnostics

► Manufacturing robotics diagnostics

• Deploy real-time computer vision.

Industry examples:

► Manufacturing worker safety

► Retail theft detection

► Manufacturing quality control

• Unify and manage distributed Infrastructure.

Industry examples:

► Retail store infrastructure

► Remote office locations

► Distributed command operations

Ready to optimize your edge deployments and extends your datacenter capabilities with Red Hat Enterprise Linux? Contact us! For more info, click the link in our bio/visit our website: https://infracom-tech.com 🔗📱

#ICT #InfraComTechnology #SolutionsGoBeyond #ICTSolutions #Datacenter #EdgeComputing #RedHat #RedHatEnterpriseLinux #Linux #Enterprise

Written By : Marketing Communication ICT | Published : 28/May/2024