Launching task instance groups as Spot Instances is a strategic way to expand

Launching task instance groups as spot instances is a

This preview shows page 140 - 142 out of 395 pages.

Amazon EMR launches the instance group with five nodes, adding the sixth later if possible. Launching task instance groups as Spot Instances is a strategic way to expand the capacity of your cluster while minimizing costs. If you launch your master and core instance groups as On-Demand Instances, their capacity is guaranteed for the run of the cluster. You can add task instances to your task instance groups as needed, to handle peak traffic or speed up data processing. You can add or remove task nodes using the console, AWS CLI, or API. You can also add additional task groups, but you cannot remove a task group after it is created. Instance Configurations for Application Scenarios The following table is a quick reference to node type purchasing options and configurations that are usually appropriate for various application scenarios. Choose the link to view more information about each scenario type. Application Scenario Master Node Purchasing Option Core Nodes Purchasing Option Task Nodes Purchasing Option Long-Running Clusters and Data Warehouses (p. 135) On-Demand On-Demand or instance-fleet mix Spot or instance- fleet mix Cost-Driven Workloads (p. 135) Spot Spot Spot Data-Critical Workloads (p. 135) On-Demand On-Demand Spot or instance- fleet mix 134
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Amazon EMR Management Guide Guidelines and Best Practices Application Scenario Master Node Purchasing Option Core Nodes Purchasing Option Task Nodes Purchasing Option Application Testing (p. 135) Spot Spot Spot There are several scenarios in which Spot Instances are useful for running an Amazon EMR cluster. Long-Running Clusters and Data Warehouses If you are running a persistent Amazon EMR cluster that has a predictable variation in computational capacity, such as a data warehouse, you can handle peak demand at lower cost with Spot Instances. You can launch your master and core instance groups as On-Demand Instances to handle the normal capacity and launch the task instance group as Spot Instances to handle your peak load requirements. Cost-Driven Workloads If you are running transient clusters for which lower cost is more important than the time to completion, and losing partial work is acceptable, you can run the entire cluster (master, core, and task instance groups) as Spot Instances to benefit from the largest cost savings. Data-Critical Workloads If you are running a cluster for which lower cost is more important than time to completion, but losing partial work is not acceptable, launch the master and core instance groups as on-demand and supplement with one or more task instance groups of Spot Instances. Running the master and core instance groups as on-demand ensures that your data is persisted in HDFS and that the cluster is protected from termination due to Spot market fluctuations, while providing cost savings that accrue from running the task instance groups as Spot Instances.
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  • Spring '12
  • LauraParker
  • Amazon Web Services, Amazon Elastic Compute Cloud

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