Choose the objective first
A tightly communicating compute job is different from a small set of critical nodes that should avoid shared hardware. I would decide the main requirement before selecting a strategy. Performance and separation are not interchangeable goals.
Compare the strategies
Cluster placement favours closely placed instances for supported workloads. Spread separates a small set of instances across distinct hardware. Partition placement organises instances into groups that help suitable distributed applications reason about placement. Review the constraints for each strategy.
Keep application recovery in the design
Check supported instance types and capacity requirements before launching. Placement choices do not automatically replicate data or repair applications. Your software must still detect failure and use remaining capacity, with suitable backups and an Availability Zone design.
Try it yourself
Match a low-latency compute job, critical nodes and a partition-aware distributed system to a strategy. Explain each choice.
A common question
Does a placement group guarantee availability?
No. It influences placement; application recovery and data protection still need explicit design.
References & video notes
Use the video to follow the topic with me. Console screens and older offers can change, so check the current AWS documentation before performing a lab.
Keep learning
- What is Amazon EC2? A beginner’s guide
- What is an AMI? Understanding EC2 machine images
- Plan and launch your first EC2 instance