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Performance Tuning with Azure Container Instances
In this Lab, you will start with a container already provisioned. You'll make it run a workload, and will monitor CPU consumption. Then we'll create a second, more powerful container, and check that it can run a larger workload!

Lab Info
Table of Contents
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Challenge
Simulate Real-World Workloads
Execute a load simulation on an already-provisioned container to observe how the application responds under stress.
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Challenge
Monitor and Analyze Performance Metrics
Use Azure Monitor and the Azure Portal to track key performance indicators, including CPU utilization, memory consumption, and network activity, to understand workload behavior.
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Challenge
Optimize Resource Allocations
Create a second container, increase its CPU allocation, then deploy.
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Challenge
Evaluate Performance Trade-offs
Analyze the performance of this new container, and compare it to the original container's performance.
About the author
Real skill practice before real-world application
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