Choosing the Right Edge Computing Platform

Is your organization generating and processing more data at the edge? If so, it’s important to select the ideal edge computing platform for performance, security and scalability. 

Edge platforms simplify the management of distributed computing systems and enable real-time decision-making close to the data source. Say, for example, a global logistics company wants to reduce latency in its supply chain tracking system. The organization could shift analytics to the edge, allowing faster response times and less downtime. Similarly, a manufacturer could reduce unplanned maintenance by using an edge platform to gain real-time insights on equipment status. Let’s explore what an edge computing platform is, essential features to consider during the selection process, how to evaluate solutions and where the technology is headed next.

Edge computing platform basics

What is edge computing?

Edge computing is a distributed model that processes data near its source (e.g., on a factory floor, in a store or inside a vehicle) instead of sending it to centralized data centers. Doing so reduces latency, minimizes bandwidth use and improves reliability. 

What is an edge computing platform?

An edge computing platform is the software framework that lets you deploy and manage applications across edge locations. It provides orchestration, security and scalability so teams can run workloads closer to where data is generated. These platforms streamline operations in hybrid environments and support real-time responsiveness and compliance. Learn more about real-world edge computing use cases.

Top features to prioritize in edge computing platforms

The following are essential features in a high-performing edge platform:

• Containerized architecture for flexible microservices
• Centralized orchestration to manage thousands of nodes
• High availability with local failover and remote recovery
• Integrated security including encryption, secure boot and policy controls
• Open-source foundation to reduce vendor lock-in
• Cloud and hardware agnosticism to run on diverse infrastructure
• Real-time analytics to act on local data instantly

With these capabilities, your business can operate reliably in diverse, challenging edge environments. Containerization simplifies application deployment and management. Meanwhile orchestration tools enable consistency across thousands of locations. Built-in security features protect sensitive data and systems from evolving threats. They also ensure compliance with industry regulations. 

Furthermore, an open-source foundation reduces the risk of vendor lock-in and allows for greater flexibility when scaling. Prioritize platforms that are hardware-agnostic and cloud-compatible so you can have more deployment options. Also add real-time analytics to your must-have list to drive faster, more informed decision-making at the edge.

Evaluating edge computing platforms

As you evaluate edge computing platform options, keep these factors in mind:

• Industry fit: Are you focused on industrial edge computing, telecom, healthcare or retail?
• Scalability: Can it scale with your growth?
• System integration: Does it work with your existing cloud and IT systems?
• Security: How does it handle threats, data protection and compliance?
• Ease of use: Is it manageable by your internal teams?
• Support and ecosystem: Are experts and documentation available?
• Cost: Does the pricing model fit your needs? Open-source solutions like SUSE Edge can reduce TCO.

For examples of successful implementation, explore edge computing in manufacturing.

What’s next for edge computing platforms?

Future-ready edge platforms are evolving rapidly as organizations demand more intelligent, scalable solutions closer to the data source. One major trend we’re seeing is the use of AI at the edge. This enables real-time insights and decision-making without relying on centralized data centers. Edge-to-cloud integration is also gaining traction as it offers unified visibility and control across distributed and centralized environments. 

Platforms are embracing autonomous operations. The use of AI and machine learning help to optimize performance, security and energy efficiency with minimal human intervention. Ultimately, edge computing is becoming more agile, intelligent and enterprise-ready.

Edge computing platforms: Final thoughts

A well-chosen edge computing platform can boost responsiveness, secure operations and support growth. SUSE Edge combines Linux reliability, container orchestration and open-source flexibility to help enterprises scale securely and efficiently.

Learn more about how SUSE supports innovation at the edge.

Edge computing platform FAQs

When should you use an edge computing platform?

Use an edge computing platform when your applications require low latency, real-time processing or need to meet compliance by processing data locally.

What is the difference between a cloud and an edge computing platform?

Cloud platforms centralize processing in data centers. Edge platforms process data closer to its source, which reduces latency and boosts responsiveness.

What are the top benefits of an edge computing platform?

Key benefits include lower latency, real-time insights, improved data security, operational resilience and reduced bandwidth costs.