AWS News Blog
Author: Danilo Poccia
Danilo works with startups and companies of any size to support their innovation. In his role as Chief Evangelist (EMEA) at Amazon Web Services, he leverages his experience to help people bring their ideas to life, focusing on serverless architectures and event-driven programming, and on the technical and business impact of machine learning and edge computing. He is the author of AWS Lambda in Action from Manning.
New – Amazon Comprehend Medical Adds Ontology Linking
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights in unstructured text. It is very easy to use, with no machine learning experience required. You can customize Comprehend for your specific use case, for example creating custom document classifiers to organize your documents into your own categories, or custom […]
New – Provisioned Concurrency for Lambda Functions
It’s really true that time flies, especially when you don’t have to think about servers: AWS Lambda just turned 5 years old and the team is always looking for new ways to help customers build and run applications in an easier way. As more mission critical applications move to serverless, customers need more control over the performance […]
New for AWS Transit Gateway – Build Global Networks and Centralize Monitoring Using Network Manager
As your company grows and gets the benefits of a cloud-based infrastructure, your on-premises sites like offices and stores increasingly need high performance private connectivity to AWS and to other sites at a reasonable cost. Growing your network is hard, because traditional branch networks based on leased lines are costly, and they suffer from the same lack […]
New – Amazon Managed Apache Cassandra Service (MCS)
Managing databases at scale is never easy. One of the options to store, retrieve, and manage large amounts of structured data, including key-value and tabular formats, is Apache Cassandra. With Cassandra, you can use the expressive Cassandra Query Language (CQL) to build applications quickly. However, managing large Cassandra clusters can be difficult and takes a lot of […]
New for Amazon Redshift – Data Lake Export and Federated Query
A data warehouse is a database optimized to analyze relational data coming from transactional systems and line of business applications. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze data using standard SQL and existing Business Intelligence (BI) tools. To get information from unstructured data that would […]
New for Amazon Aurora – Use Machine Learning Directly From Your Databases
March 23, 2020: Post updated to clarify networking, IAM permissions, and database configurations required to use machine learning from Aurora databases. A new notebook using SageMaker Autopilot gives a complete example, from the set up of the model to the creation of the SQL function using the endpoint. The integrations described in this post are now available for MySQL and […]
New – AWS IoT Greengrass Adds Container Support and Management of Data Streams at the Edge
AWS IoT Greengrass extends cloud capabilities to edge devices, so that they can respond to local events in near real-time, even with intermittent connectivity. Today, we are adding two features that make it easier to build IoT solutions: Container support to deploy applications using the Greengrass Docker application deployment connector. Collect, process, and export data streams from […]
New – Using Step Functions to Orchestrate Amazon EMR Workloads
AWS Step Functions allows you to add serverless workflow automation to your applications. The steps of your workflow can run anywhere, including in AWS Lambda functions, on Amazon Elastic Compute Cloud (Amazon EC2), or on-premises. To simplify building workflows, Step Functions is directly integrated with multiple AWS Services: Amazon Elastic Container Service (Amazon ECS), AWS […]