Author: Danilo Poccia

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 […]

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 […]

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 […]

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 […]

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 […]

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 (Amazon EC2) instances powered by AWS Graviton2, today we are announcing an addition to our broad Arm-based Graviton2 […]

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 […]

To be able to run analytics, build reports, or apply machine learning, you need to be sure the data you’re using is clean and in the right format. That’s the data preparation step that requires data analysts and data scientists to write custom code and do many manual activities. First, you need to look at […]