All posts by: Cloud Comrade

About Cloud Comrade

It was those old days where were no complex applications, and the servers used to run in the most okay conditions. In this current world, as the technology grows along with the complexity, and the expectation from customers are growing as well. They are looking for one stop automated solution for business as usual. After […]

Operating a business across multiple environments is challenging enough. Organizations transforming in to digitalization are often surprised by the high costs of their Traditional MSP services and struggle to manage frameworks and governance across the organization. Does any of the above situations apply to your business? We have an answer; Cloud Comrade is passionate and […]

For the organizations to stay competitive in today’s technology world, have to think of ways to keep their infrastructure automated, highly available, flexible, reproducible, scalable for high productivity and reliability. In this blog, we will see how the AWS powered NextGen Infrastructure as a code(IaC) helps us to achieve organizations objective compared to the traditional […]

Machine Learning (ML) and Artificial Intelligence(AI) are two hot catchphrases in the technology arena. ML is the subset of AI, based on the idea of providing data to machines and let them learn for themselves. With the AWS powered ML and AI, the NextGen MSP can provide scalable infrastructure,  and deploy solutions through machine learning […]

Amazon SageMaker now supports version 1.10 in its pre-built TensorFlow containers. This makes it easier to run TensorFlow scripts, while taking advantage of the capabilities Amazon SageMaker offers, including a library of high-performance algorithms, managed and distributed training with automatic model tuning, one-click deployment, and managed hosting.

AWS CloudFormation Macros perform custom processing on CloudFormation templates from simple actions such as find-and-replace to transformation of entire templates. CloudFormation Macros use the same technology that powers AWS::Include and AWS::Serverless transforms. CloudFormation transforms help simplify template authoring by condensing the expression of AWS infrastructure as code and enabling reuse of template components.

Previously, you could use AWS::Include and AWS::Serverless transforms to process your templates that were hosted by CloudFormation. Now, you can use CloudFormation Macros to create your own custom transforms. For example, you can create common string functions for templates or define short-hand syntaxes for common CloudFormation resources. Click here to learn more about sample macros for your reference.

To learn more about CloudFormation Macros, please visit AWS CloudFormation documentation.

CloudFormation Macros are available in all AWS regions that have AWS Lambda. For a full list of AWS regions where AWS Lambda is available, please visit our Region table.

Starting today, you can enable persistent application and Windows settings for your users on AppStream 2.0. With this launch, your users’ plugins, toolbar settings, browser favorites, application connection profiles, and other settings will be saved and applied each time they start a streaming session. For example, your users can configure their plugins and toolbars for their CAD/CAM applications, and retain those settings every time they stream their application. Your users’ settings are stored in an S3 bucket you control in your AWS account.

To get started, select Stacks from the AppStream 2.0 console. Below the stacks list, choose User Settings, Application Settings Persistence, Edit. In the Application Settings Persistence dialog box, choose Enable Application Settings Persistence. To learn more about persistent application settings, see Enable Application Settings Persistence for Your AppStream 2.0 Users.

You can enable persistent application settings for your users at no additional charge in all AWS Regions where AppStream 2.0 is offered. However, you will be billed for the S3 storage used to store your user’s settings data. To use this feature, the AppStream 2.0 agent software on your image must be dated August 29, 2018 or newer. AppStream 2.0 offers pay-as-you-go pricing. Please see Amazon AppStream 2.0 Pricing for more information, and try our sample applications.

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