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awstools
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Updates SDK to v2.950.0
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.changes/2.950.0.json

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[
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{
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"type": "feature",
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"category": "EC2",
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"description": "Added idempotency to the CreateVolume API using the ClientToken request parameter"
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}
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]

CHANGELOG.md

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# Changelog for AWS SDK for JavaScript
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<!--LATEST=2.949.0-->
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<!--LATEST=2.950.0-->
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<!--ENTRYINSERT-->
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## 2.950.0
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* feature: EC2: Added idempotency to the CreateVolume API using the ClientToken request parameter
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## 2.949.0
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* feature: EMRcontainers: Updated DescribeManagedEndpoint and ListManagedEndpoints to return failureReason and stateDetails in API response.
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* feature: Health: In the Health API, the maximum number of entities for the EventFilter and EntityFilter data types has changed from 100 to 99. This change is related to an internal optimization of the AWS Health service.

README.md

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To use the SDK in the browser, simply add the following script tag to your
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HTML pages:
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<script src="https://sdk.amazonaws.com/js/aws-sdk-2.949.0.min.js"></script>
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<script src="https://sdk.amazonaws.com/js/aws-sdk-2.950.0.min.js"></script>
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You can also build a custom browser SDK with your specified set of AWS services.
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This can allow you to reduce the SDK's size, specify different API versions of

apis/compute-optimizer-2019-11-01.normal.json

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},
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"performanceRisk": {
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"shape": "PerformanceRisk",
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"documentation": "<p>The performance risk of the Auto Scaling group configuration recommendation.</p> <p>Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.</p> <p>The value ranges from 0 to 5, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommended resource meets the performance requirements of your workload before migrating your resource.</p>"
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"documentation": "<p>The performance risk of the Auto Scaling group configuration recommendation.</p> <p>Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.</p> <p>The value ranges from <code>0</code> - <code>4</code>, with <code>0</code> meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.</p>"
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"rank": {
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"shape": "Rank",
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},
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"performanceRisk": {
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"shape": "PerformanceRisk",
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"documentation": "<p>The performance risk of the instance recommendation option.</p> <p>Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.</p> <p>The value ranges from <code>0</code> to <code>5</code>, with <code>0</code> meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.</p>"
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"documentation": "<p>The performance risk of the instance recommendation option.</p> <p>Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.</p> <p>The value ranges from <code>0</code> - <code>4</code>, with <code>0</code> meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.</p>"
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"rank": {
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"performanceRisk": {
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"shape": "PerformanceRisk",
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"documentation": "<p>The performance risk of the volume recommendation option.</p> <p>Performance risk is the likelihood of the recommended volume type meeting the performance requirement of your workload.</p> <p>The value ranges from <code>0</code> to <code>5</code>, with <code>0</code> meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.</p>"
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"documentation": "<p>The performance risk of the volume recommendation option.</p> <p>Performance risk is the likelihood of the recommended volume type meeting the performance requirement of your workload.</p> <p>The value ranges from <code>0</code> - <code>4</code>, with <code>0</code> meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.</p>"
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"rank": {
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"shape": "Rank",

apis/ec2-2016-11-15.min.json

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},
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"Throughput": {
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"type": "integer"
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},
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"ClientToken": {
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"idempotencyToken": true
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}
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}
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},

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