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.

Architectural diagram.

New – AWS Control Tower Account Factory for Terraform

December 7, 2023: Post updated to clarify AWS Regions availability. AWS Control Tower makes it easier to set up and manage a secure, multi-account AWS environment. AWS Control Tower uses AWS Organizations to create what is called a landing zone, bringing ongoing account management and governance based on our experience working with thousands of customers. […]

Architectural diagram.

Introducing Amazon Braket Hybrid Jobs – Set Up, Monitor, and Efficiently Run Hybrid Quantum-Classical Workloads

I find quantum computing fascinating! At its simplest level, it extends the concept of bits, that have 0 or 1 values, with quantum bits, or qubits, that can have a combination of two different (quantum) states. Two characteristics make qubits really interesting: When you look at the value of a qubit, you get only one […]

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New for AWS Compute Optimizer – Resource Efficiency Metrics to Estimate Savings Opportunities and Performance Risks

By applying the knowledge drawn from Amazon’s experience running diverse workloads in the cloud, AWS Compute Optimizer identifies workload patterns and recommends optimal AWS resources. Today, I am happy to share that AWS Compute Optimizer now delivers resource efficiency metrics alongside its recommendations to help you assess how efficiently you are using AWS resources: A dashboard […]

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New for AWS Compute Optimizer – Enhanced Infrastructure Metrics to Extend the Look-Back Period to Three Months

By using machine learning to analyze historical utilization metrics, AWS Compute Optimizer recommends optimal AWS resources for your workloads to reduce costs and improve performance. Over-provisioning resources can lead to unnecessary infrastructure costs, and under-provisioning resources can lead to poor application performance. Compute Optimizer helps you choose optimal configurations for three types of AWS resources: […]

Amazon EC2 R6i sizes.

New – Amazon EC2 R6i Memory-Optimized Instances Powered by the Latest Generation Intel Xeon Scalable Processors

In August, we introduced the general-purpose Amazon EC2 M6i instances powered by the latest generation Intel Xeon Scalable processors (code-named Ice Lake) with an all-core turbo frequency of 3.5 GHz. Compute-optimized EC2 C6i instances were also made available last month. Today, I am happy to share that we are expanding our sixth-generation x86-based offerings to […]

EC2 Auto Scaling YAML configuration using ABS.

New – Attribute-Based Instance Type Selection for EC2 Auto Scaling and EC2 Fleet

The first AWS service I used, more than ten years ago, was Amazon Elastic Compute Cloud (Amazon EC2). Over time, EC2 has added a wide selection of instance types optimized to fit different use cases, with a varying combination of CPU/GPU, memory, storage, and networking capacity to give you the flexibility to choose the appropriate […]

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AWS Lambda Functions Powered by AWS Graviton2 Processor – Run Your Functions on Arm and Get Up to 34% Better Price Performance

December 13, 2022: Post updated to include all the AWS Regions where Lambda Functions can be powered by the Graviton2 Processor. June 19, 2023: List of AWS Regions updated. Many of our customers (such as Formula One, Honeycomb, Intuit, SmugMug, and Snap Inc.) use the Arm-based AWS Graviton2 processor for their workloads and enjoy better […]