This chapter covers edge computing concepts. AZ-900 tests under 1.5 at a high level.
Jump to a section
A simple way to picture Edge Computing Concepts
Delivering data from a distant server is slow. Edge computing places computing and data closer to where it's used: networks, devices, the "edge," reducing latency.
Edge computing processes data closer to where it's generated (devices, networks) rather than sending everything to a central cloud. Benefits include reduced latency and bandwidth.
Identify latency-sensitive workloads
Real-time applications needing low latency.
Process at the edge
Data is processed locally before sending to cloud.
Send results
Only results, not raw data, go to the central cloud.
Autonomous vehicles process sensor data locally for immediate decisions, sending summaries to cloud for learning.
Objective 1.5 expects awareness of edge computing as an architectural pattern.
Processes data closer to source.
Reduces latency and bandwidth.
Complements cloud, not replaces it.
Processing data closer to where it's generated (devices, networks) rather than sending everything to central cloud, reducing latency and bandwidth.
You've just covered Edge Computing Concepts — now see how well it sticks with free AZ-900 practice questions. Full explanations included, no account needed.
Done with this chapter?