Aws\- Support for changes regarding PHP 7.2 releases.
Aws\CloudWatch- This release adds high resolution features to CloudWatch, with support for Custom Metrics down to 1 second and Alarms down to 10 seconds.
Aws\DynamoDB- Corrected a typo.
Aws\EC2- Amazon EC2 Elastic GPUs allow you to easily attach low-cost graphics acceleration to current generation EC2 instances. With Amazon EC2 Elastic GPUs, you can configure the right amount of graphics acceleration to your particular workload without being constrained by fixed hardware configurations and limited GPU selection.
Aws\CloudDirectory- Cloud Directory adds support for additional batch operations.
Aws\CloudFormation- AWS CloudFormation StackSets enables you to manage stacks across multiple accounts and regions.
Aws\AppStream- Amazon AppStream 2.0 image builders and fleets can now access applications and network resources that rely on Microsoft Active Directory (AD) for authentication and permissions. This new feature allows you to join your streaming instances to your AD, so you can use your existing AD user management tools.
Aws\EC2- Spot Fleet tagging capability allows customers to automatically tag instances launched by Spot Fleet. You can use this feature to label or distinguish instances created by distinct Spot Fleets. Tagging your EC2 instances also enables you to see instance cost allocation by tag in your AWS bill.
Aws\EMR- Amazon EMR now includes the ability to use a custom Amazon Linux AMI and adjustable root volume size when launching a cluster.
Aws\Budgets- Update budget Management API's to list/create/update RI_UTILIZATION type budget. Update budget Management API's to support DAILY timeUnit for RI_UTILIZATION type budget.
Aws\S3- Properly handle reading mismatched regions from S3's AuthorizationHeaderMalformed exception for S3MultiRegionClient.
Aws\CognitoIdentityProvider- Allows developers to configure user pools for email/phone based signup and sign-in.
Aws\Lambda- Lambda@Edge lets you run code closer to your end users without provisioning or managing servers. With Lambda@Edge, your code runs in AWS edge locations, allowing you to respond to your end users at the lowest latency. Your code is triggered by Amazon CloudFront events, such as requests to and from origin servers and viewers, and it is ready to execute at every AWS edge location whenever a request for content is received. You just upload your Node.js code to AWS Lambda and Lambda takes care of everything required to run and scale your code with high availability. You only pay for the compute time you consume - there is no charge when your code is not running.
sudo dnf upgrade --refresh --advisory=FEDORA-2017-c749e631f3
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