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IAM is a secure AWS access management resource. Access and authorization means “who are you, and should you be here?” You can get IAM by signing up for an AWS account. After you sign up for an AWS account, you can create additional users and groups under your account. Account holders can create and manage AWS users and groups, as well as define permissions that allow or deny access to other AWS resources within the account holders software. It’s like buying a house and deciding who rents the rooms in the house, as well as which rooms in your house they can go to. This is all done at no extra charge to the account holder. You are only charged for the other AWS resources that your users or groups use under your account, but not for the actual IAM resource. You can decide who has access to your servers based on conditions like Multi-factor Authentication (MFA). Mobile access with mobile apps and web identity providers, as well as a corporate directory for on-premises solutions, are configurable in IAM too. AWS also has documentation to guide you through the best practices for securing your cloud with IAM.
Speed and flexibility are important superpowers to have in today’s information technology world. Think about it from a traditional “brick-and-mortar” business scenario. When you produce a widget, you want to get it from the stages of imagination to production in the fastest and most sensible manner. Having a streamlined method of getting business ideas from conception to production is “make it or break it”. Two companies offering the same type of service to the same pool of customers will need the added benefit of testing their product to see how good the customer reception is. What processes are in place at your company to service your clients with products in the most efficient manner? DevOps has been a buzzword in the software and IT community for a while. What are the operations your company uses to develop software in a swift, flexible, and maintainable manner, so that you can competitively reach clients? Barney Style Solutions wants to give you our “Barney Style” Breakdown on AWS (Amazon Web Services) DevOps culture, principles, and practices. For more information on AWS DevOps click the link. This article briefly discusses the services and key features of AWS DevOps.
ML (Machine Learning) makes it possible to accomplish business goals by manipulating information collected from a server. SageMaker Neo is an Amazon Web Services machine learning(ML) resource that makes it easier to use artificial intelligence to super power your business production through smarter predictions. You’ll save time and still be accurate when using your ML training models. Neo is automatically optimized to give you double the operating power for use on any ML framework and target hardware platform. The open source documentation gives developers the ability to open the hood of Neo and customize their ML environment. Neo offers numerous benefits that can be used on any server.