Welcome to above the clouds

AWS – Amazon WorkSpaces Thin Client now supports Amazon WorkSpaces Pools
AWS today announced support for Amazon WorkSpaces Pools on Amazon WorkSpaces Thin Client. With this launch, Amazon WorkSpaces Thin Client customers have the flexibility to choose between Amazon WorkSpaces Personal, a fully persistent virtual desktop, and WorkSpaces Pools, a cost-effective, non-persistent virtual desktop, with support for existing Microsoft 365 Apps for enterprise licenses to help […]

AWS – Amazon RDS for Db2 supports loading data from Amazon S3
Amazon Relational Database Service (Amazon RDS) for Db2 now supports loading data from Amazon S3 into Db2 databases. With Amazon RDS for Db2, you can use a Db2 client to load data into your Db2 databases using locally stored files on the client machine. However, the load cannot be performed if the locally stored data […]

AWS – AWS Glue Data Catalog views are now GA with Amazon Athena and Amazon Redshift
Today, AWS announces the general availability of AWS Glue Data Catalog views for Athena and Redshift. AWS Glue Data Catalog views are a new capability that allows customers to create, grant permissions on, and query multi-engine SQL views in AWS Glue Data Catalog from Amazon Athena and Amazon Redshift. With AWS Glue Data Catalog views […]

AWS – Announcing pgvector 0.7.0 support in Aurora PostgreSQL
Amazon Aurora PostgreSQL-Compatible Edition now supports pgvector 0.7.0, an open-source extension for PostgreSQL for storing vector embeddings in your database. pgvector provides vector similarity search capabilities enabling Aurora usage for semantic search and retrieval-augemented generation (RAG) in generative artificial intelligence (AI) applications. pgvector 0.7.0 adds parallelism to improve the Hierarchical Navigable Small Worlds (HNSW) index build […]

AWS – Amazon Aurora supports PostgreSQL 16.3, 15.7, 14.12, 13.15, and 12.19
Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 16.3, 15.7, 14.12, 13.15, and 12.19. These releases contain product improvements and bug fixes made by the PostgreSQL community, along with Aurora-specific improvements. Databases now startup faster after upgrades and restarts. Version 16.3 with IO-Optimized configuration includes performance enhancements that improve write throughput for 8xl and larger […]

AWS – PostgreSQL 17 Beta 3 is now available in Amazon RDS Database preview environment
Amazon RDS for PostgreSQL 17 Beta 3 is now available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 17 on Amazon RDS for PostgreSQL. You can deploy PostgreSQL 17 Beta 3 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database. PostgreSQL […]

AWS – AWS Snowball Edge Storage Optimized 210TB device offers lower capacity pricing option
AWS Snowball Edge Storage Optimized 210TB device now offers a 100TB pricing option for data migration. With this offering, the AWS Snowball Edge Storage Optimized 210TB device supports two pricing options for data migration: less than 100TB, and from 100TB to 210TB pricing. In addition, the AWS Snowball Edge Storage Optimized 210 device is now […]

AWS – Amazon RDS for PostgreSQL supports minor versions 16.4, 15.8, 14.13, 13.16, and 12.20
Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 16.4, 15.8, 14.13, 13.16, and 12.20. This release of RDS for PostgreSQL also includes updates for PostgreSQL extensions such as pgvector 0.7.3, hypopg 1.4.1, and others. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in […]

AWS – Amazon EMR 7.2 now supports Apache Spark 3.5.1
Today, we are excited to announce that the Amazon EMR 7.2 release is now generally available and includes Apache Spark 3.5.1, Trino 436, and PrestoDB 0.285, Apache Iceberg 1.5.0 and Delta 3.1. Furthermore, with Amazon EMR 7.2, you can view additional Amazon CloudWatch metrics for enhanced monitoring in the Amazon EMR console, which provides comprehensive […]
AWS – AWS Glue announces GA of new ML-powered Glue Data Quality capability
AWS Glue announces general availability of a new AWS Glue Data Quality(Glue DQ) capability that uses ML-powered anomaly detection algorithms to detect hard-to-find data quality issues and anomalies. This helps customers proactively identify and fix data quality issues. Data engineers and analysts use rules in Glue DQ to measure and monitor their data. While Glue […]