Tag: Danilo Poccia

A data lake can help you break down data silos and combine different types of analytics into a centralized repository. You can store all of your structured and unstructured data in this repository. However, setting up and managing data lakes involve a lot of manual, complicated, and time-consuming tasks. AWS Lake Formation makes it easy to set up a secure data lake in days instead of weeks or months. Today, I am excited to share the general availability of some new features that simplify even further loading data, optimizing storage, and managing access to a data lake: Governed Tables – A new type of Amazon Simple Storage Service (Amazon S3) tables that makes it simple and reliable to ingest and…

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. If you use AWS CloudFormation to manage your infrastructure as code, you can customize your AWS Control Tower landing zone using Customizations for AWS Control Tower, a solution that helps you deploy custom templates and policies to individual accounts and organizational units (OUs) within your organization. But what if you use Terraform to manage your AWS infrastructure? Today, I am happy to share the availability of AWS Control Tower Account Factory for Terraform (AFT), a…

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 of the two possible states with a probability that depends on how its own states are combined. Multiple qubits can be “connected” together (this is called quantum entanglement) so that by changing the state of one, even just by reading its value, you alter the states of the others. These characteristics come from low-level properties described by quantum mechanics, a fundamental theory in physics that…

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 shows you savings and performance improvement opportunities at the account level. You can dive into resource types and individual resources from the dashboard. The Estimated monthly savings (On-Demand) and Savings opportunity (%) columns estimate the possible savings for over-provisioned resources. You can sort your recommendations using these two columns to quickly find the resources on which to focus your optimization efforts. The Current performance risk…