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AWS EC2 Systems Manager management service to automate configuration and magament of EC2 and On-Premises Systems. ... AWS Fargate service for deploying and managing ...
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 .
Amazon EC2 price varies from $2.5 per month for "nano" instance with 1 vCPU and 0.5 GB RAM on board to "xlarge" type of instances with 32 vCPU and 488 GB RAM billed up to $3997.19 per month. The charts above show how Amazon EC2 pricing is compared to similar Cloud Computing services: Microsoft Azure, Google Cloud Platform, Kamatera, and Vultr. [69]
Top level Configuration Management Activity model. Configuration management (CM) is a management process for establishing and maintaining consistency of a product's performance, functional, and physical attributes with its requirements, design, and operational information throughout its life.
Serverless computing is "a cloud service category in which the customer can use different cloud capability types without the customer having to provision, deploy and manage either hardware or software resources, other than providing customer application code or providing customer data.
Amazon Simple Storage Service (S3) is a service offered by Amazon Web Services (AWS) that provides object storage through a web service interface. [1] [2] Amazon S3 uses the same scalable storage infrastructure that Amazon.com uses to run its e-commerce network. [3]
STANAG 4427 on Configuration Management in System Life Cycle Management is the Standardization Agreement (STANAG) of NATO nations on how to do configuration management (CM) on defense systems. The STANAG, and its supporting NATO publications, provides guidance on managing the configuration of products and services.
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. [11]