Amazon SageMaker is an entirely-managed service that helps data scientists and developers to swiftly and simply build, train and implement machine learning models of any magnitude. It eliminates any obstacle that might slow down developers seeking to make use of ML.
2017 observed various transformations concerning Iot and digital supply chain. Many industries invested capital and resources on the Internet of Things. Additionally, leading industries swiftly implemented IoT solutions such as security, cognitive computing, and blockchain among others. Importantly, Forrester Research had predicted that Internet of Things would form the backbone of customer’s value.
Amazon Aurora is a database engine that uses tables and principles to bring together reliability and speed of top-notch commercial databases and open source databases that are simple and cost-effective.
The business value of development-operations is undeniable especially when a company with the task of delivering various applications.
DevOps combines software development and IT operations, making it easier for an enterprise to implement its technology strategy.
Programming without the need for servers ensures developers can keep their primary focus on their product at its core, by eliminating the need to manage servers and monitor run times.
The AWS Serverless Platform can be built for numerous applications and backend services, without requiring the developer to provision any servers.