In many cases, using cloud computing and edge computing at the same time gives the best overall results in terms of performance.
Discussions about the relationship between cloud computing and edge computing tend to present cloud and edge as the opposite type of architecture and treat them as one or both propositions.
This is not the best way to think about the cloud and the edge. There are important differences between cloud and edge computing, but cloud and edge are not complementary to each other and do not compete.
The difference between cloud and edge
The difference between cloud computing and edge computing is primarily concentrated in the location where the workload is hosted.
In traditional clouds, data and applications are stored in large data centers within the public cloud vendor’s network.
In the edge architecture, workloads are hosted “closer” to the end user than in traditional data centers from a network perspective.
Multiple approaches to edge computing
Keep in mind that the definition of an edge can be a bit confusing, as there are many possible ways to build an edge architecture. In some cases, the edge environment runs directly on the end user’s device. Others look like traditional data centers with traditional servers that are closer to the end user than traditional cloud data centers.
Cloud computing tends to be simpler from an architectural point of view. There may be some variation in the cloud regions and zones that teams use to host their workloads, but all public cloud environments are relatively far from the end user (even from a network perspective). ) Relies on traditional data centers.
Reasons to combine cloud and edge computing
Cloud and edge computing is a radically different type of architecture, but “cloud and edge” is not always the best way to think about them.
In many cases it makes sense to use both the cloud and the edge at the same time. Cloud data centers can handle workloads that require edge infrastructure while hosting edge-hosted workloads with minimal latency and reliability.
By pairing cloud And Edge work together to enable organizations to leverage the scalability and ease of deployment of cloud environments while achieving high-performance goals that cloud data centers may not always be able to support due to network delay issues. ..
This does not mean that you always need to use the cloud and the edge at the same time. It’s perfectly possible to host applications and data in the cloud without running an edge environment. Although less common, it is possible to use the edge without using the public cloud.
Conclusion: Cloud and Edge Supercharge Performance
However, in general, using cloud and edge computing at the same time gives the best overall results in terms of performance. The only major drawback is that it is difficult to manage the cloud and edge environments at the same time. Kubernetes We simplify this by making it easy to deploy applications from the central management plane to both types of environments.