Edge Computing Benefits and Challenges

Gartner predicts that 75% of enterprise-generated data will be created and processed outside of a centralized data center or cloud environment, up from 10% in 2018. Let’s look at the top edge computing benefits driving this rapid adoption.

Reduced Latency and Improved Performance

The time it takes for data to travel to and from the processing systems is known as latency, and it’s a leading cause of performance issues like slow speeds and timeouts. Edge computing occurs very close to the source of data collection, so that data doesn’t have to travel very far. This reduced latency improves the speed and performance of the applications that rely on edge data, such as cloud native EDA tools.

Improved Security and Data Privacy

Centralized data centers are a high-value target for hackers and other cybercriminals because they store and transfer large quantities of sensitive data. Edge computing keeps data dispersed around the edge of your network, so no single device holds too much valuable information. This makes edge compute systems less tempting to hackers and limits the damage if an edge device is breached.

High Resiliency

In a centralized network, all data must flow through data processing servers in a data center, which creates a single point of failure for all the systems and applications that rely on that processing power. If there’s an equipment failure or network outage at the data center, everything grinds to a halt. Edge computing relies on many different processing systems distributed geographically and logically, which means one can fail without affecting all the rest. This improves the reliability and resiliency of the entire enterprise network.

While there are many ways that edge computing benefits organizations that collect and process significant amounts of data from edge devices, this type of architecture also presents a few challenges.

Ensuring Adequate Network Bandwidth

Edge computing reduces the bandwidth load between the centralized data center and edge locations but increases the bandwidth load on individual edge LANs. To take full advantage of edge computing, you must allocate more bandwidth to edge locations and use LAN infrastructure capable of supporting this bandwidth (e.g., gigabit routers and switches). 

Decentralizing Security Policies and Controls

Decentralizing your data processing reduces risk, but edge computing also creates new security challenges. It’s harder to build a strong defensive perimeter of security policies, tools, and controls when so much computing occurs outside of the core network. One way to overcome this challenge is to use cloud security tools that can apply role-based access control (RBAC) policies, firewall rules, and other protections consistently across your core and edge network no matter where the user, device, or application resides. 

Reducing Management Complexity

When all of your data processing systems live in one place, it’s easier for administrators to monitor, manage, and optimize them. When you move and disperse these computing resources around the edge, management becomes more complex, increasing the chances that an administrator will make a costly mistake or miss a critical issue. For edge computing to be most effective, you need to implement a centralized monitoring and orchestration solution that unifies edge system management behind a single interface.