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.

Introducing Amazon S3 Object Lambda – Use Your Code to Process Data as It Is Being Retrieved from S3

When you store data in Amazon Simple Storage Service (S3), you can easily share it for use by multiple applications. However, each application has its own requirements and may need a different view of the data. For example, a dataset created by an e-commerce application may include personally identifiable information (PII) that is not needed […]

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New for Amazon CodeGuru – Python Support, Security Detectors, and Memory Profiling

Amazon CodeGuru is a developer tool that helps you improve your code quality and has two main components: CodeGuru Reviewer uses program analysis and machine learning to detect potential defects that are difficult to find in your code and offers suggestions for improvement. CodeGuru Profiler collects runtime performance data from your live applications, and provides […]

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New – SaaS Lens in AWS Well-Architected Tool

To help you build secure, high-performing, resilient, and efficient solutions on AWS, in 2015 we publicly launched the AWS Well-Architected Framework. It started as a single whitepaper but has expanded to include domain-specific lenses, hands-on labs, and the AWS Well-Architected Tool (available at no cost in the AWS Management Console) that provides a mechanism for […]

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New for AWS Lambda – Container Image Support

February 9, 2021: Post updated with the current regional availability of container image support for AWS Lambda. With AWS Lambda, you upload your code and run it without thinking about servers. Many customers enjoy the way this works, but if you’ve invested in container tooling for your development workflows, it’s not easy to use the […]

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Graph showing Function Duration and Charges for 1M Invocations as Memory Increases

New for AWS Lambda – Functions with Up to 10 GB of Memory and 6 vCPUs

AWS Lambda runs your code on an highly available and scalable compute infrastructure so that you can focus on what you want to build. Do you want to get the advantages of Lambda for workloads that are memory or computationally intensive? Wait no more! Starting today, you can allocate up to 10 GB of memory […]

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New for AWS Lambda – 1ms Billing Granularity Adds Cost Savings

What I like about AWS Lambda is that it lets you run code without provisioning or managing servers, and you pay only for what you use. Since we launched Lambda in 2014, you have been charged for the number of times your code is triggered (requests) and for the time your code executes, rounded up […]

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Coming Soon – EC2 C6gn Instances – 100 Gbps Networking with AWS Graviton2 Processors

Update: Amazon EC2 C6gn instances are generally available since December 18, 2020. Based on the amazing feedback from customers such as Snap, NextRoll, Intuit, SmugMug, and Honeycomb who are running their workloads on Amazon Elastic Compute Cloud (EC2) instances powered by AWS Graviton2, today we are announcing an addition to our broad Arm-based Graviton2 portfolio […]

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Introducing Amazon Managed Workflows for Apache Airflow (MWAA)

As the volume and complexity of your data processing pipelines increase, you can simplify the overall process by decomposing it into a series of smaller tasks and coordinate the execution of these tasks as part of a workflow. To do so, many developers and data engineers use Apache Airflow, a platform created by the community […]

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