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AWS Lambda is an event-driven, serverless Function as a Service (FaaS) provided by Amazon as a part of Amazon Web Services. It is designed to enable developers to run code without provisioning or managing servers. It executes code in response to events and automatically manages the computing resources required by that code. It was introduced on ...
2018: AWS CDK was announced as a developer preview at the AWS Summit in New York on July 17, 2018, offering an early version of the framework for developers to test and provide feedback. [13] 2019: AWS CDK reached general availability (GA) on July 11, 2019, with support for TypeScript and Python as the initial programming languages. [14]
Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. [1] Building an application following this model is one way of achieving a "serverless ...
Language support was limited to Python using native Python modules, as well as a limited selection of Python modules in C that were chosen by Google. Like later serverless platforms, App Engine also used pay-for-what-you-use billing. [9] AWS Lambda, introduced by Amazon in 2014, [10] popularized the
The two view outputs may be joined before presentation. The rise of lambda architecture is correlated with the growth of big data, real-time analytics, and the drive to mitigate the latencies of map-reduce. [1] Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record.
AWS Graviton is a family of 64-bit ARM-based CPUs designed by the Amazon Web Services (AWS) subsidiary Annapurna Labs. The processor family is distinguished by its lower energy use relative to x86-64 , static clock rates , and lack of simultaneous multithreading .
AWS Elastic Beanstalk is an orchestration service offered by Amazon Web Services for deploying applications which orchestrates various AWS services, including EC2, S3, Simple Notification Service (SNS), CloudWatch, autoscaling, and Elastic Load Balancers. [2]
Other deployment targets include Internet of things devices (using AWS Greengrass), serverless computing (using AWS Lambda), or containers. These low-end environments can have only weaker CPU or limited memory (RAM) and should be able to use the models that were trained on a higher-level environment (GPU-based cluster, for example)