Cloud computing ruled the world of application design for years.
For scalability, go to the cloud.
For storage, go to the cloud.
For AI computations, use the cloud.
However, real-time applications are reaching a limit.
The Latency Problem
There are systems that cannot tolerate even the slightest lag while waiting for data to reach faraway servers.
Some examples include:
1.Autonomous vehicles
2.Industrial automation solutions
3.Smart surveillance systems
4.Health monitoring
5.IoT
And this is where edge computing comes into play.
How Edge Computing Actually Works
Instead of running everything on centralized cloud servers, edge computing processes data near where the data originated.
This includes:
1.Edge gateways
2.IoT gateways
3.Embedded systems
4.Industrial hardware
5.Smart devices
Which means:
1.Decreased latency
2.Less cloud utilization
3.Reduced bandwidth costs
And increased:
1.System reliability
2.Decision-making capabilities
3.Offline capabilities
Why This is Relevant to Software Developers
The world we live in is not limited to web applications anymore. Software developers have to design software that can communicate with:
1.Sensors
2.Hardware devices
3.Cameras
4.Robots
5.Scattered physical locations
It completely shifts your focus towards performance and stability.
Conclusion: It’s Probably Going to Be Hybrid
Cloud computing is here to stay.
However, hybrid solutions will probably define the future:
1.Cloud computing for coordination
2.Edge computing for computation
The best solutions will utilize both technologies.
For more info: https://amusetechsolutions.com/
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