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Zorluk: KolayHigh-Performing and Elastic Compute Solutions

A software development company is setting up a high-performance distributed cache layer using self-managed Redis on Amazon EC2 instances. The cache nodes require the lowest possible latency and highest throughput for node-to-node replication. Which configuration will satisfy these requirements?

  1. Launch the EC2 instances in a cluster placement group within a single Availability Zone.Cevap
  2. B
    Launch the EC2 instances in a spread placement group to distribute the nodes across distinct physical racks.
  3. C
    Launch the EC2 instances in a partition placement group to logically isolate the replication traffic.
  4. D
    Deploy the instances behind an Application Load Balancer and configure target group health checks on the default HTTP port 80 while the application runs on port 6379.

Cevap

Launch the EC2 instances in a cluster placement group within a single Availability Zone.
The correct configuration is to launch the EC2 instances in a cluster placement group within a single Availability Zone. This placement strategy physically groups instances close together on the underlying hardware, allowing them to achieve the lowest possible network latency and highest packet-per-second performance for node-to-node replication.

Adım Adım Çözüm

1
Analyze the performance requirements of the workload.
The workload requires a high-performance distributed cache layer with the lowest possible latency and highest throughput for node-to-node replication.
Identifying the primary optimization criteria helps select the correct EC2 placement strategy.
2
Evaluate EC2 placement group types for low-latency node-to-node communication.
A cluster placement group groups instances closely together within a single Availability Zone to enable low-latency, high-throughput network performance.
Spread and partition placement groups are designed for fault tolerance and isolation rather than maximum network performance.

Anahtar Kavram

EC2 Cluster Placement Groups for Low-Latency Workloads
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