AWS News Blog

Danilo Poccia

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 EventBridge Schema Registry is Now Generally Available

Amazon EventBridge is a serverless event bus that makes it easy to connect applications together. It can use data from AWS services, your own applications, and integrations with Software-as-a-Service (SaaS) partners. Last year at re:Invent, we introduced in preview EventBridge schema registry and discovery, a way to store the structure of the events (the schema) in a central […]

New – Serverless Streaming ETL with AWS Glue

When you have applications in production, you want to understand what is happening, and how the applications are being used. To analyze data, a first approach is a batch processing model: a set of data is collected over a period of time, then run through analytics tools. To be able to react quickly, you can […]

New – Amazon Keyspaces (for Apache Cassandra) is Now Generally Available

We introduced Amazon Managed Apache Cassandra Service (MCS) in preview at re:Invent last year. In the few months that passed, the service introduced many new features, and it is generally available today with a new name: Amazon Keyspaces (for Apache Cassandra). Amazon Keyspaces is built on Apache Cassandra, and you can use it as a fully managed, […]

New for Amazon EFS – IAM Authorization and Access Points

When building or migrating applications, we often need to share data across multiple compute nodes. Many applications use file APIs and Amazon Elastic File System (Amazon EFS) makes it easy to use those applications on AWS, providing a scalable, fully managed Network File System (NFS) that you can access from other AWS services and on-premises resources. EFS […]

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 […]