Amazon S3 Object Ownership ahora puede deshabilitar las listas de control de acceso para simplificar la administración de acceso a los datos en S3

Amazon S3 presenta una nueva configuración, propietario del bucket aplicado de S3 Object Ownership, que deshabilita las listas de control de acceso (ACL), lo que simplifica la administración del acceso para los datos almacenados en S3. Cuando se aplica esta configuración a nivel de bucket, todos los objetos de un bucket de S3 pertenecen al propietario del bucket y las ACL ya no se utilizan para otorgar permisos. Como resultado, el acceso a los datos se basa en políticas, incluidas las políticas de AWS Identity and Access Management (IAM) aplicadas a las identidades de IAM, políticas de sesión, políticas de puntos de acceso y buckets de Amazon S3 y políticas de punto de enlace de Virtual Private Cloud (VPC). Esta configuración se aplica tanto a los objetos nuevos como a los existentes en un bucket y puede controlar el acceso a esta configuración mediante las políticas de IAM. Con la nueva configuración de S3 Object Ownership, puede revisar, administrar y modificar fácilmente el acceso a los conjuntos de datos compartidos en Amazon S3 simplemente a través de políticas.

#BazelCon 2021 Wrap Up

Posted by Joe Hicks, Product Manager, Core Developer

The apps, platforms, and systems that the Bazel community builds with Bazel touch the lives of people around the world in ways we couldn’t have imagined. Through BazelCon, we aim to connect Bazel enthusiasts, the Bazel team, maintainers, contributors, users, and friends in an inclusive and welcoming environment. At BazelCon, the community demonstrates the global user impact of the community—with some quirky and carefully crafted talks, a readout on the State-of-Bazel, an upfront discussion on “Implicit Bias Mitigation,” and community sharing events that remind us that we are not alone in our efforts to build a better world, one line of code at a time.

At BazelCon, the community shared over 24 technical sessions with the 1400+ registrants, which you can watch here at your own pace. Make sure you check out:

Attendees were able to interact with the community and engage with the Bazel team through a series of “Birds of a Feather” (BoF) sessions and a live Q&A session. You can find all of the BoF presentations and notes here.

As announced, soon we will be releasing Bazel 5.0, the updated version of our next generation, multi-language, multi-platform build functionality that includes a new external dependency system, called bzlmod, for you to try out.

We’d like to thank everyone who helped make BazelCon a success: presenters, organizers, Google Developer Studios, contributors, and attendees. If you have any questions about BazelCon, you can reach out to [email protected].

We hope that you enjoyed #BazelCon and “Building Better with Bazel”.

Amazon Redshift announces support for VARBYTE data type

Amazon Redshift has launched support for the VARBYTE data type. VARBYTE is a variable size data type for storing and representing variable-length binary strings. With this announcement, Amazon Redshift can now support variable length binary data for use with core Amazon Redshift features, SQL UDFs and SQL DDL for creating VARBYTE columns in tables. VARBYTE(n) syntax gives you the flexibility to specify the size (‘n’). The default for n is 64KB and max is 1MB. VARBYTE values are displayed/printed as Hex values to ensure all binary bytes are printable.

AWS Database Migration Service now supports Time Travel, an improved logging mechanism

AWS Database Migration Service (AWS DMS) expands its functionality by introducing Time Travel, a feature granting customers flexibility on their logging capabilities and enhancing their troubleshooting experience. With Time Travel, you can store and encrypt AWS DMS logs using Amazon S3, and view, download and obfuscate the logs within a certain time frame. Time Travel help make troubleshooting more easily and securely.

Announcing Amazon EC2 M1 Mac instances for macOS

Starting today, Amazon Elastic Compute Cloud (EC2) M1 Mac instances for macOS are available in preview. Built on Apple silicon Mac mini computers and powered by AWS Nitro System, EC2 M1 Mac instances deliver up to 60% better price performance over x86-based EC2 Mac instances for iOS and macOS application build workloads. EC2 M1 Mac instances also enable native ARM64 macOS environments for the first time in AWS to develop, build, test, deploy, and run Apple applications. Developers rearchitecting their macOS applications to natively support Apple silicon Macs can now provision ARM64 macOS environments within minutes, dynamically scale capacity as needed, and benefit from AWS’s pay-as-you-go pricing to enjoy faster builds and convenient distributed testing. Learn more and get started with EC2 M1 Mac instances preview here.

Introducing AWS Cloud WAN Preview

Today AWS announced the preview release of AWS Cloud WAN, a new wide area networking (WAN) service that helps you build, manage, and monitor a unified global network that manages traffic running between resources in your cloud and on-premises environments.

Amazon Athena ya es compatible con la nueva seguridad detallada y las características fiables de las tablas de Lake Formation

Ahora, los usuarios de Amazon Athena pueden usar AWS Lake Formation para configurar de forma detallada los permisos y leer datos de tablas que cumplen con los requisitos de ACID. Amazon Athena facilita a los usuarios la tarea de analizar datos en lagos de Amazon S3 para ayudar a garantizar que cuenten con acceso únicamente a los datos que están autorizados a usar, y que las consultas que realicen sean fiables teniendo en cuenta los cambios que se produzcan en los datos subyacentes, con la dificultad que esto conlleva.

AWS Database Migration Service now offers a new console experience, AWS DMS Studio

AWS Database Migration Service (AWS DMS) is pleased to announce the launch of AWS DMS Studio, a new service console that makes it easy to manage database migrations from start to finish. AWS DMS Studio accelerates and simplifies migrations by integrating tools for each phase of the migration journey from assessment to conversion to migration. AWS DMS Studio integrates AWS DMS Fleet Advisor to inventory and analyzes your database and analytics fleet, AWS Schema Conversion Tool (SCT) to convert database schema and application code, and AWS DMS to migrate your data. At each step of the migration, AWS DMS Studio assists you by providing contextual resources such as documentation and guidance on engaging migration experts where needed.

Announcing Amazon RDS Custom for SQL Server

Amazon Relational Database Service (Amazon RDS) Custom is a managed database service for legacy, custom, and packaged applications that require access to the underlying OS and DB environment. Amazon RDS Custom is now available for the SQL Server database engine. Amazon RDS Custom for SQL Server automates setup, operation, and scaling of databases in the cloud while granting access to the database and underlying operating system to configure settings, install drivers, and enable native features to meet the dependent application’s requirements.

Introducing AWS DMS Fleet Advisor for automated discovery and analysis of database and analytics workloads (Preview)

AWS Database Migration Service (AWS DMS) is a service that helps you migrate databases to AWS quickly and securely. AWS DMS Fleet Advisor is a new feature of AWS DMS that allows you to quickly build a database and analytics migration plan by automating the discovery and analysis of your fleet. AWS DMS Fleet Advisor is intended for users looking to migrate a large number of database and analytic servers to AWS.