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2. AWS CloudFormation - Wikipedia

   en.wikipedia.org/wiki/AWS_CloudFormation

   AWS CloudFormation is a service provided by Amazon Web Services (AWS) that enables users to model and manage infrastructure resources in an automated and secure manner. [1] Using CloudFormation, developers can define and provision AWS infrastructure resources using a JSON - or YAML -formatted infrastructure as code template.

3. Timeline of Amazon Web Services - Wikipedia

   en.wikipedia.org/wiki/Timeline_of_Amazon_Web...

   Amazon launches AWS CloudFormation, its tool to help customers define collections of AWS resources (called stacks) with AWS taking care of using the definitions to provision and configure the required resources. CloudFormation is an early example of a declarative Infrastructure as Code tool. [41] 2010: Sep 2: IAM (security)

4. AWS Cloud Development Kit - Wikipedia

   en.wikipedia.org/wiki/AWS_Cloud_Development_Kit

   The AWS CDK aims to improve the experience of working with Infrastructure as Code by providing higher-level, reusable constructs that enable developers to create and manage AWS resources more efficiently and with less boilerplate code compared to traditional configuration files like AWS CloudFormation templates.

5. Amazon Web Services - Wikipedia

   en.wikipedia.org/wiki/Amazon_Web_Services

   Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...

6. Infrastructure as code - Wikipedia

   en.wikipedia.org/wiki/Infrastructure_as_code

   Infrastructure as code (IaC) is the process of managing and provisioning computer data center resources through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools. [1]

7. Amazon SageMaker - Wikipedia

   en.wikipedia.org/wiki/Amazon_SageMaker

   Regardless of which level of abstraction is used, a developer can connect their SageMaker-enabled ML models to other AWS services, such as the Amazon DynamoDB database for structured data storage, [9] AWS Batch for offline batch processing, [9] [10] or Amazon Kinesis for real-time processing.