All posts by: Cloud Comrade

About Cloud Comrade

The market for Cloud Services has grown tremendously in recent years; many enterprises started thinking ‘when to migrate their SAP landscape into Cloud Services.’ However, the main topic of discussion among the stakeholders is ‘how to migrate current complex SAP landscape into Cloud Services.’ Let us see how Cloud Comrade expertise can help its customers […]

AWS is the market leader in Cloud Computing. It offers high availability, reliability, efficiency, scalability, and cost-effective solutions to enterprises resulting in high productivity. Hence, we see an increase in the number of enterprises with business-critical SAP landscape systems acclimatizing private/hybrid/ public cloud solutions. As announced, SAP will extend maintenance support for their customers until […]

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.

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