Question

A Solutions Architect is working for a weather station in Asia with a weather monitoring system that needs to be migrated to AWS. Since the monitoring system requires a low network latency and high network throughput, the Architect decided to launch the EC2 instances to a new cluster placement group. The system was working fine for a couple of weeks, however, when they try to add new instances to the placement group that already has running EC2 instances, they receive an 'insufficient capacity error'. How will the Architect fix this issue?

a. Stop and restart the instances in the Placement Group and then try the launch again.
b. Create another Placement Group and launch the new instances in the new group
c. Verify all running instances are of the same size and type and then try the launch again
d. Submit a capacity increase request to AWS as you are initially limited to only 12 instances per Placement Group.

Answer 1

To fix an 'insufficient capacity error' when adding new EC2 instances to an existing cluster placement group, the recommended solution is to create another placement group and launch the new instances there.

Step-by-step explanation:

When an AWS Solutions Architect working with a weather monitoring system in Asia encounters an 'insufficient capacity error' while trying to add new EC2 instances to an existing cluster placement group, there are a few options to resolve the issue:

• Stop and restart the instances in the Placement Group and then try the launch again.
• Create another Placement Group and launch the new instances in the new group.
• Verify all running instances are of the same size and type and then try the launch again.
• Submit a capacity increase request to AWS as you might be limited to a specific number of instances per Placement Group.

For this specific situation where new instances cannot be added to an existing placement group, the solution would typically be option (b): to create another placement group and launch new instances in the new group. This approach circumvents the capacity limitation issue most effectively without disrupting running instances.