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Release v1.37.27 (2021-03-09)
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===

### Service Client Updates
* `service/autoscaling`: Updates service API and documentation
  * EC2 Auto Scaling now supports setting a local time zone for cron expressions in scheduled actions, removing the need to adjust for Daylight Saving Time (DST)
* `service/codeguruprofiler`: Updates service API and documentation
* `service/elasticfilesystem`: Updates service API, documentation, and examples
  * AWS EFS is introducing one-zone file systems.
* `service/iotwireless`: Updates service API
* `service/rds`: Updates service API, documentation, and paginators
  * This release adds support for Amazon RDS Proxy endpoints.
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awssdkgo committed Mar 9, 2021
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13 changes: 13 additions & 0 deletions CHANGELOG.md
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Release v1.37.27 (2021-03-09)
===

### Service Client Updates
* `service/autoscaling`: Updates service API and documentation
* EC2 Auto Scaling now supports setting a local time zone for cron expressions in scheduled actions, removing the need to adjust for Daylight Saving Time (DST)
* `service/codeguruprofiler`: Updates service API and documentation
* `service/elasticfilesystem`: Updates service API, documentation, and examples
* AWS EFS is introducing one-zone file systems.
* `service/iotwireless`: Updates service API
* `service/rds`: Updates service API, documentation, and paginators
* This release adds support for Amazon RDS Proxy endpoints.

Release v1.37.26 (2021-03-08)
===

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4 changes: 3 additions & 1 deletion aws/endpoints/defaults.go

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2 changes: 1 addition & 1 deletion aws/version.go
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const SDKName = "aws-sdk-go"

// SDKVersion is the version of this SDK
const SDKVersion = "1.37.26"
const SDKVersion = "1.37.27"
9 changes: 6 additions & 3 deletions models/apis/autoscaling/2011-01-01/api-2.json
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"Recurrence":{"shape":"XmlStringMaxLen255"},
"MinSize":{"shape":"AutoScalingGroupMinSize"},
"MaxSize":{"shape":"AutoScalingGroupMaxSize"},
"DesiredCapacity":{"shape":"AutoScalingGroupDesiredCapacity"}
"DesiredCapacity":{"shape":"AutoScalingGroupDesiredCapacity"},
"TimeZone":{"shape":"XmlStringMaxLen255"}
}
},
"RecordLifecycleActionHeartbeatAnswer":{
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"Recurrence":{"shape":"XmlStringMaxLen255"},
"MinSize":{"shape":"AutoScalingGroupMinSize"},
"MaxSize":{"shape":"AutoScalingGroupMaxSize"},
"DesiredCapacity":{"shape":"AutoScalingGroupDesiredCapacity"}
"DesiredCapacity":{"shape":"AutoScalingGroupDesiredCapacity"},
"TimeZone":{"shape":"XmlStringMaxLen255"}
}
},
"ScheduledUpdateGroupActionRequest":{
Expand All @@ -2401,7 +2403,8 @@
"Recurrence":{"shape":"XmlStringMaxLen255"},
"MinSize":{"shape":"AutoScalingGroupMinSize"},
"MaxSize":{"shape":"AutoScalingGroupMaxSize"},
"DesiredCapacity":{"shape":"AutoScalingGroupDesiredCapacity"}
"DesiredCapacity":{"shape":"AutoScalingGroupDesiredCapacity"},
"TimeZone":{"shape":"XmlStringMaxLen255"}
}
},
"ScheduledUpdateGroupActionRequests":{
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17 changes: 10 additions & 7 deletions models/apis/autoscaling/2011-01-01/docs-2.json

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46 changes: 27 additions & 19 deletions models/apis/codeguruprofiler/2019-07-18/api-2.json
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"output":{"shape":"DeleteProfilingGroupResponse"},
"errors":[
{"shape":"InternalServerException"},
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"ThrottlingException"},
{"shape":"ResourceNotFoundException"}
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"AgentParameterField":{
"type":"string",
"enum":[
"MaxStackDepth",
"MemoryUsageLimitPercent",
"MinimumTimeForReportingInMilliseconds",
"SamplingIntervalInMilliseconds",
"ReportingIntervalInMilliseconds",
"SamplingIntervalInMilliseconds"
"MinimumTimeForReportingInMilliseconds",
"MemoryUsageLimitPercent",
"MaxStackDepth"
]
},
"AgentParameters":{
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"AggregationPeriod":{
"type":"string",
"enum":[
"P1D",
"PT5M",
"PT1H",
"PT5M"
"P1D"
]
},
"Anomalies":{
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"ComputePlatform":{
"type":"string",
"enum":[
"AWSLambda",
"Default"
"Default",
"AWSLambda"
]
},
"ConfigureAgentRequest":{
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"FeedbackType":{
"type":"string",
"enum":[
"Negative",
"Positive"
"Positive",
"Negative"
]
},
"FindingsReportId":{
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"values":{"shape":"FrameMetricValues"}
}
},
"FrameMetricValue":{
"type":"double",
"box":true
},
"FrameMetricValues":{
"type":"list",
"member":{"shape":"Double"}
"member":{"shape":"FrameMetricValue"}
},
"FrameMetrics":{
"type":"list",
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},
"error":{"httpStatusCode":500},
"exception":true,
"fault":true
"fault":true,
"retryable":{"throttling":false}
},
"ListFindingsReportsRequest":{
"type":"structure",
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"MetadataField":{
"type":"string",
"enum":[
"ComputePlatform",
"AgentId",
"AwsRequestId",
"ComputePlatform",
"ExecutionEnvironment",
"LambdaFunctionArn",
"LambdaMemoryLimitInMB",
"LambdaPreviousExecutionTimeInMilliseconds",
"LambdaRemainingTimeInMilliseconds",
"LambdaTimeGapBetweenInvokesInMilliseconds"
"LambdaTimeGapBetweenInvokesInMilliseconds",
"LambdaPreviousExecutionTimeInMilliseconds"
]
},
"Metric":{
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"OrderBy":{
"type":"string",
"enum":[
"TimestampAscending",
"TimestampDescending"
"TimestampDescending",
"TimestampAscending"
]
},
"PaginationToken":{
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"httpStatusCode":402,
"senderFault":true
},
"exception":true
"exception":true,
"retryable":{"throttling":false}
},
"String":{"type":"string"},
"Strings":{
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"httpStatusCode":429,
"senderFault":true
},
"exception":true
"exception":true,
"retryable":{"throttling":false}
},
"Timestamp":{
"type":"timestamp",
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11 changes: 8 additions & 3 deletions models/apis/codeguruprofiler/2019-07-18/docs-2.json
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{
"version": "2.0",
"service": "<p>This section provides documentation for the Amazon CodeGuru Profiler API operations.</p> <pre><code> &lt;p&gt;Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. &lt;/p&gt; &lt;p&gt;Amazon CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is consumed, and suggest ways to reduce CPU utilization. &lt;/p&gt; &lt;note&gt; &lt;p&gt;Amazon CodeGuru Profiler currently supports applications written in all Java virtual machine (JVM) languages. While CodeGuru Profiler supports both visualizations and recommendations for applications written in Java, it can also generate visualizations and a subset of recommendations for applications written in other JVM languages.&lt;/p&gt; &lt;/note&gt; &lt;p&gt; For more information, see &lt;a href=&quot;https://docs.aws.amazon.com/codeguru/latest/profiler-ug/what-is-codeguru-profiler.html&quot;&gt;What is Amazon CodeGuru Profiler&lt;/a&gt; in the &lt;i&gt;Amazon CodeGuru Profiler User Guide&lt;/i&gt;. &lt;/p&gt; </code></pre>",
"service": "<p> This section provides documentation for the Amazon CodeGuru Profiler API operations. </p> <p> Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. </p> <p> Amazon CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is consumed, and suggest ways to reduce CPU utilization. </p> <note> <p>Amazon CodeGuru Profiler currently supports applications written in all Java virtual machine (JVM) languages and Python. While CodeGuru Profiler supports both visualizations and recommendations for applications written in Java, it can also generate visualizations and a subset of recommendations for applications written in other JVM languages and Python.</p> </note> <p> For more information, see <a href=\"https://docs.aws.amazon.com/codeguru/latest/profiler-ug/what-is-codeguru-profiler.html\">What is Amazon CodeGuru Profiler</a> in the <i>Amazon CodeGuru Profiler User Guide</i>. </p>",
"operations": {
"AddNotificationChannels": "<p>Add up to 2 anomaly notifications channels for a profiling group.</p>",
"BatchGetFrameMetricData": "<p> Returns the time series of values for a requested list of frame metrics from a time period.</p>",
"ConfigureAgent": "<p> Used by profiler agents to report their current state and to receive remote configuration updates. For example, <code>ConfigureAgent</code> can be used to tell and agent whether to profile or not and for how long to return profiling data. </p>",
"ConfigureAgent": "<p> Used by profiler agents to report their current state and to receive remote configuration updates. For example, <code>ConfigureAgent</code> can be used to tell an agent whether to profile or not and for how long to return profiling data. </p>",
"CreateProfilingGroup": "<p>Creates a profiling group.</p>",
"DeleteProfilingGroup": "<p>Deletes a profiling group.</p>",
"DescribeProfilingGroup": "<p> Returns a <a href=\"https://docs.aws.amazon.com/codeguru/latest/profiler-api/API_ProfilingGroupDescription.html\"> <code>ProfilingGroupDescription</code> </a> object that contains information about the requested profiling group. </p>",
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"Double": {
"base": null,
"refs": {
"FrameMetricValues$member": null,
"Match$thresholdBreachValue": "<p>The value in the profile data that exceeded the recommendation threshold.</p>",
"Recommendation$allMatchesSum": "<p>How much of the total sample count is potentially affected.</p>"
}
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"FrameMetricData$member": null
}
},
"FrameMetricValue": {
"base": null,
"refs": {
"FrameMetricValues$member": null
}
},
"FrameMetricValues": {
"base": null,
"refs": {
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