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 – Using Amazon GuardDuty to Protect Your S3 Buckets

As we anticipated in this post, the anomaly and threat detection for Amazon Simple Storage Service (S3) activities that was previously available in Amazon Macie has now been enhanced and reduced in cost by over 80% as part of Amazon GuardDuty. This expands GuardDuty threat detection coverage beyond workloads and AWS accounts to also help you protect your […]

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Find Your Most Expensive Lines of Code – Amazon CodeGuru Is Now Generally Available

Bringing new applications into production, maintaining their code base as they grow and evolve, and at the same time respond to operational issues, is a challenging task. For this reason, you can find many ideas on how to structure your teams, on which methodologies to apply, and how to safely automate your software delivery pipeline. At […]

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AWS Solutions Constructs – A Library of Architecture Patterns for the AWS CDK

Cloud applications are built using multiple components, such as virtual servers, containers, serverless functions, storage buckets, and databases. Being able to provision and configure these resources in a safe, repeatable way is incredibly important to automate your processes and let you focus on the unique parts of your implementation. With the AWS Cloud Development Kit, […]

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New – A Shared File System for Your Lambda Functions

July 1, 2020: Post updated to take care that Amazon EFS increased file system minimum throughput, when burst credits are exhausted, to 1 MiB/s. I am very happy to announce that AWS Lambda functions can now mount an Amazon Elastic File System (EFS), a scalable and elastic NFS file system storing data within and across multiple availability zones […]

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Welcome to the Serverless-First Function Virtual Events

When you develop a serverless application, you can focus on the core features you want to build, instead of worrying about managing and operating servers, databases, or storage systems. To simplify adoption and use of serverless technologies, we launched many new features in the last few months. For example, just to pick up a few: […]

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New – Enhanced Amazon Macie Now Available with Substantially Reduced Pricing

Amazon Macie is a fully managed service that helps you discover and protect your sensitive data, using machine learning to automatically spot and classify data for you. Over time, Macie customers told us what they like, and what they didn’t. The service team has worked hard to address this feedback, and today I am very happy […]

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New – Building a Continuous Integration Workflow with Step Functions and AWS CodeBuild

May 29, 2020: Post updated to include AWS CodePipeline support to invoke Step Functions with a new action type. Automating your software build is an important step to adopt DevOps best practices. To help you with that, we built AWS CodeBuild, a fully managed continuous integration service that compiles source code, runs tests, and produces packages […]

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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 […]

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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 […]

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