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.

Amazon EC2 M6i instances logo

New – Amazon EC2 M6i Instances Powered by the Latest-Generation Intel Xeon Scalable Processors

Last year, we introduced the sixth generation of EC2 instances powered by AWS-designed Graviton2 processors. We’re now expanding our sixth-generation offerings to include x86-based instances, delivering price/performance benefits for workloads that rely on x86 instructions. Today, I am happy to announce the availability of the new general purpose Amazon EC2 M6i instances, which offer up to […]

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An image showing AWS Named as a Leader in the 2021 Gartner Magic Quadrant for Cloud Infrastructure & Platform Services

AWS Named as a Leader for the 11th Consecutive Year in 2021 Gartner Magic Quadrant for Cloud Infrastructure & Platform Services (CIPS)

In my job at AWS I have the privilege of working with many different teams, all focused to help our customers lower costs, become more agile, and innovate faster. It’s greatly rewarding to see these efforts recognized by our customers and by leading analysts. Last year Gartner introduced a new Magic Quadrant for Cloud Infrastructure […]

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Hybrid Threat Protection with Sumo Logic Cloud SIEM Powered by AWS

IT security teams need to have a real-time understanding of what’s happening with their infrastructure and applications. They need to be able to find and correlate data in this continuous flood of information to identify unexpected behaviors or patterns that can lead to a security breach. To simplify and automate this process, many solutions have […]

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Architectural diagram.

Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data

With Amazon Redshift, you can use SQL to query and combine exabytes of structured and semi-structured data across your data warehouse, operational databases, and data lake. Now that AQUA (Advanced Query Accelerator) is generally available, you can improve the performance of your queries by up to 10 times with no additional costs and no code […]

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Architectural diagram.

Introducing Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python, or Scala

The best way to get timely insights and react quickly to new information you receive from your business and your applications is to analyze streaming data. This is data that must usually be processed sequentially and incrementally on a record-by-record basis or over sliding time windows, and can be used for a variety of analytics […]

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Architecture diagram.

Introducing CloudFront Functions – Run Your Code at the Edge with Low Latency at Any Scale

With Amazon CloudFront, you can securely deliver data, videos, applications, and APIs to your customers globally with low latency and high transfer speeds. To offer a customized experience and the lowest possible latency, many modern applications execute some form of logic at the edge. The use cases for applying logic at the edge can be […]

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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 (Amazon 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 […]

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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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