Durable, secure, fully managed pub/sub messaging service that enables you to decouple microservices, distributed systems, and serverless applications. Provides topics for high-throughput, push-based, many-to-many messaging
A machine learning service for development teams used for automated code reviews and to identify the most expensive lines of code in their applications. It also receives intelligent recommendations on how to fix or improve their code.
A serverless event bus that connects applications together using data from your own apps, SaaS apps, and AWS services. An event is a signal that a system's state has changed (e.g. a change in the status of a customer support ticket). You can set up routing rules to determine where to send your data to build application architectures that react in real-time to all of your data sources.
A natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. Uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic. You can also use AutoML capabilities in Amazon Comprehend to build a custom set of entities or text classification models that are tailored uniquely to your organization's needs.
A managed service that makes it easy to collect and organize data from industrial equipment at scale. You can easily monitor equipment across your industrial facilities to identify waste. Provides software running on a gateway that resides in your facilities and automates the process of collecting and organizing industrial equipment data. This gateway securely connects to your on-premises data servers, collects data, and sends the data to the AWS Cloud. Monitor operations across facilities, quickly compute common industrial performance metrics, and build applications to analyze industrial equipment data, prevent costly equipment issues, and reduce production inefficiencies.