Limiting Impact of Hardware Failure | Best Solutions for Bio-technology Company

Correct Answer - A and D.

Launching EC2 in the Placement group is possible using both CLI and Console.

Firstly, a Rack server is a computer dedicated to use as a server and designed to be installed in a framework called a rack.

Each rack has its own network and power source.

In the Partition Placement group, each logical partition within the placement group has its own set of racks.

If a rack fails (hardware failure), it may affect multiple instances on that rack within that logical partition.

So, if you have replication in other partitions, then your data will be safe.

This will be good for Big data applications like HDFS, HBase, Cassandra, Kafka, or any other fault-tolerant system.

This placement group strikes a balance between High Performance and High Availability.

A partition placement group can have partitions in multiple Availability Zones in the same Region.

A partition placement group can have a maximum of seven partitions per Availability Zone.

The number of instances that can be launched into a partition placement group is limited only by the limits of your account.

Option B is incorrect because all instances are placed within a rack in the Cluster Placement group.

If the rack fails (hardware failure), all instances fail at the same time.

This is ideal for High-Performance applications.

Option C is incorrect because the impact can be reduced using multiple "availability zones" instead of "regions".

For more information on Placement Groups, refer to the following URL-

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html

When working with a critical project such as the Human genome data processing, it's important to plan for hardware failure to ensure that the system is always available. To limit the impact of hardware failure, there are several solutions that can be implemented. Here are two of the best solutions to avoid correlated failures:

1. Use AWS CLI to deploy EC2 instance in the Partitioned Placement group: Partitioned Placement Groups can be used to spread EC2 instances across multiple hardware platforms to avoid correlated failures. EC2 instances that are placed in the same partition will share the same underlying hardware infrastructure. Therefore, if a failure occurs, it only affects the instances in that partition, not the whole system. This solution ensures that the data processing can continue even if some instances experience hardware failure.

2. Use AWS CLI to deploy EC2 instance in the Cluster Placement group: Cluster Placement Groups can be used to launch instances in a low-latency, high-bandwidth network. EC2 instances in a Cluster Placement Group are placed on the same rack, which ensures that network latency between instances is very low. In addition, instances in a Cluster Placement Group are placed on different racks, which reduces the impact of hardware failure. This solution ensures that the data processing can continue with low latency even if some instances experience hardware failure.

Using AWS CLI to deploy EC2 instances in multiple regions (C) is not a good solution because it introduces additional latency and can result in data inconsistency issues. Using AWS Console to deploy EC2 instance in Partitioned Placement group (D) is a less efficient solution because it's manual and prone to errors.

In summary, the best ways to limit the impact of any hardware failure in this scenario are to use AWS CLI to deploy EC2 instance in the Partitioned Placement group (A) or Cluster Placement group (B).