Tag: Internet

Today, AWS announces SOCI (Seekable Open Container Initiative) indexing support for Amazon SageMaker Studio, reducing container startup times by 30-50% when using custom images. Amazon SageMaker Studio is a fully integrated, browser-based environment for end-to-end machine learning development. SageMaker Studio provides pre-built container images for popular ML frameworks like TensorFlow, PyTorch, and Scikit-learn that enable quick environment setup. However, when data scientists need to tailor environments for specific use cases with additional libraries, dependencies, or configurations, they can build and register custom container images with pre-configured components to ensure consistency across projects. As ML workloads become increasingly complex, these custom container images have grown in size, leading to startup times of several minutes that create a bottlenecks in iterative ML development where quick experimentation and rapid prototyping are essential.

AWS Private Certificate Authority (AWS Private CA) now supports Online Certificate Status Protocol (OCSP) in China and AWS GovCloud (US) Regions. AWS Private CA is a fully managed certificate authority service that makes it easy to create and manage private certificates for your organization without the operational overhead of running your own CA infrastructure. OCSP enables real-time certificate validation, allowing applications to check the revocation status of individual certificates on-demand rather than downloading Certificate Revocation List (CRL) files. With OCSP support, customers in these Regions can implement more efficient certificate validation with minimal bandwidth, typically requiring a few hundred bytes per query, versus downloading large Certificate Revocation Lists (CRLs) that can be hundreds of kilobytes or larger. This enables real-time revocation checks for use cases such as validating int

Amazon Application Recovery Controller (ARC) Region switch allows you to orchestrate the specific steps to switch your multi-Region applications to operate out of another AWS Region and achieve a bounded recovery time in the event of a Regional impairment to your applications. Region switch saves hours of engineering effort and eliminates the operational overhead previously required to complete failover steps, create custom dashboards, and manually gather evidence of a successful recovery for applications across your organization and hosted in multiple AWS accounts. Today, we are announcing three new Region switch capabilities: AWS GovCloud (US) support: ARC Region switch is now generally available in AWS GovCloud (US-East and US-West) Regions. Plan execution reports: Region switch now automatically generates a comprehensive report from each plan execution and saves it to an Amazon S3 bucket of your choice. Each report includes a detailed timeline of

Amazon Relational Database Service (RDS) now offers enhanced observability for your snapshot exports to Amazon S3, providing detailed insights into export progress, failures, and performance for each task. These notifications enable you to monitor your exports with greater granularity and enables more predictability. With snapshot export to S3, you can export data from your RDS database snapshots to Apache Parquet format in your Amazon S3 bucket. This launch introduces four new event types, including current export progress and table-level notifications for long-running tables, providing more granular visibility into your snapshot export performance and recommendations for troubleshooting export operation issues. Additionally, you can view export progress, such as the number of tables exported and pending, along with exported data sizes, enabling you to better plan your operations and workflows. You can subscribe to these events through Amazon Simple Notification Service (S

AWS Glue now supports zero-ETL for self-managed database sources in seven additional regions. Using Glue zero-ETL, you can setup an integration to replicate data from Oracle, SQL Server, MySQL or PostgreSQL databases which are located on-premises or on AWS EC2 to Redshift with a simple experience that eliminates configuration complexity. AWS zero-ETL for self-managed database sources will automatically create an integration for an on-going replication of data from your on-premises or EC2 databases through a simple, no-code interface. You can now replicate data from Oracle, SQL Server, MySQL and PostgreSQL databases into Redshift. This feature further reduces users' operational burden and saves weeks of engineering effort needed to design, build, and test data pipelines to ingest data from self-managed databases to Redshift. AWS Glue zero-ETL for self-managed database sources are available

Amazon Redshift ODBC 2.x driver now supports Apple macOS, expanding platform compatibility for developers and analysts. This enhancement allows Apple macOS users to connect to Amazon Redshift clusters using the latest Amazon Redshift ODBC 2.x driver version. You can use an ODBC connection to connect to your Amazon Redshift cluster from many third-party SQL client tools and applications. The Amazon Redshift ODBC 2.x native driver support enables you to access Amazon Redshift features such as data sharing write capabilities and Amazon IAM Identity Center integration - features that are only available through Amazon Redshift drivers. This native Apple macOS

Amazon WorkSpaces Applications now offers images powered by Microsoft Windows Server 2025, enabling customers to launch streaming instances with the latest features and enhancements from Microsoft’s newest server operating system. This update ensures your application streaming environment benefits from improved security, performance, and modern capabilities. With Windows Server 2025 support, you can deliver the Microsoft Windows 11 desktop experience to your end users, giving you greater flexibility in choosing the right operating system for your specific application and desktop streaming needs. Whether you're running business-critical applications or providing remote access to specialized software, you now have expanded options to align your infrastructure decisions with your unique workload requirements and organizational standards. You can select from AWS-provided public images or create custom images tailored to your requirements using Image Builder. Support

AWS IoT now supports event-based logging, a new capability that helps developers reduce Amazon CloudWatch costs while improving log management efficiency. This feature enables targeted logging for individual event with customizable log levels and Amazon CloudWatch log group destinations. With Event-Based Logging, you can set different log levels for different types of IoT events based on their operational importance. For example, you can configure INFO-level logging for certificateProvider events while maintaining ERROR-level logging for less critical activities like connectivity events. The granularity allows you to maintain comprehensive visibility into your IoT operations without the overhead of logging every activity at the same verbosity level, improving log searchability and analysis efficiency while helping to reducing costs. Event-level logging is now available for configuration through the AWS IoT console, CLI, and API in all AWS Regions where AWS IoT is supported.

Amazon Elastic Container Registry (ECR) now supports automatic repository creation on image push. This new capability simplifies container workflows by having ECR automatically create repositories if they don't exist when an image is pushed, without customers having to pre-create repositories before pushing container images. Now when customers push images, ECR will automatically create repositories according to defined repository creation template settings. Create on push is available in all AWS commercial and AWS GovCloud (US) Regions. To learn more about repository creation templates, please visit our documentation. You can learn more about storing, managing and deploying container images and artifacts with Amazon ECR, including how to get started, from our product page and

AWS announces Cost Allocation tags support for account tags across AWS Cost Management products, enabling customers with multiple member accounts to utilize their existing AWS Organizations account tags directly in cost management tools. Account tags are applied at the account level in AWS Organizations and automatically apply to all metered usage within tagged accounts, eliminating the need to manually configure and maintain separate account groupings in AWS Cost Explorer, Cost and Usage Reports, AWS Budgets, and Cost Categories. With account tag support, customers can analyze costs by account tag directly in Cost Explorer and Cost and Usage Reports (CUR 2.0 and FOCUS). Customers can set up AWS Budgets and AWS Cost Anomaly Detection alerts on groups of accounts without configuring lists of account IDs. Customers can also build complex cost categories on top of account tags for further categorization. Account tags enable cost allocation for untaggable resources including re