Weekly Cloud Info #W28 - 2025

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This week in cloud: Amazon Bedrock simplifies access with new API keys, and Amazon Q Developer now lets you query AWS data in natural language. Google Cloud boosts Cloud Run with Docker Compose support and GPU access. Meanwhile, Oracle Database@AWS goes live in the US with global expansion coming soon.

Have a great read.

📰 Top picks of the week

Amazon Bedrock Introduces API Keys for Simplified Access and Enhanced Development

Amazon has launched API keys for Amazon Bedrock, allowing developers to easily generate access credentials directly from the Bedrock console or AWS SDK. These keys facilitate authentication for API calls to Bedrock models, with options for short-term keys valid for up to 12 hours and long-term keys that can be managed via the AWS IAM console. API key authentication is available in 20 AWS regions.

Amazon Q Developer Enhances Data Querying with Natural Language Support in AWS

Amazon Q Developer now allows users to query and analyze data from AWS services directly through the AWS Management Console, Slack, Microsoft Teams, and the AWS Console Mobile Application. Users can analyze data from sources like S3, DynamoDB, and CloudWatch using natural language, streamlining management and troubleshooting. This feature requires no additional configuration and is available in all supported AWS Regions, with IAM permissions for data access control.

Oracle Database@AWS Launches in US Regions with Global Expansion Plans

Oracle Database@AWS is now generally available in the US East (N. Virginia) and US West (Oregon) Regions, allowing users to access Oracle Exadata Database Service and Oracle Autonomous Database on Dedicated Exadata Infrastructure. This offering facilitates easy migration of Oracle workloads with minimal changes, supports low-latency connections, and integrates with various AWS services. Expansion to 20 additional regions is planned, enhancing global accessibility.

AWS Fargate Enhances ECS Deployment with SOCI Index Manifest v2 Support

Amazon ECS users on AWS Fargate can now utilize SOCI Index Manifest v2, which enhances deployment consistency by allowing containers to start before the full image is downloaded. This new version ensures integrity through a cryptographic link between the image and its manifest. Users are encouraged to upgrade from the legacy Manifest v1 for improved reliability.

Azure MySQL Flexible Server Introduces Custom Port Configuration in Public Preview

Azure now allows users to select a custom port number when creating VNet-injected MySQL Flexible Servers, enhancing flexibility for organizations with specific network security needs. This feature is currently in Public Preview and is designed for environments requiring tailored port configurations, providing added network isolation and security.

Azure File Sync Introduces New RBAC Roles for Enhanced Security and Compliance

Azure File Sync now includes two new built-in RBAC roles: Azure File Sync Administrator and Azure File Sync Reader. These roles provide granular access control, allowing organizations to manage permissions effectively while adhering to the principle of least privilege. This update simplifies compliance and governance by enabling tailored permissions for managing components like Storage Sync Services and endpoints, without granting unnecessary access to virtual machines or broader storage account permissions.

Google Cloud Enhances Cloud Run with Docker Compose Support and GPU Access for AI Applications

Google Cloud has announced a collaboration with Docker to simplify the deployment of AI applications on Cloud Run using the open-source Compose Specification. Developers can now use the gcloud run compose up command to deploy their existing compose.yaml files, automating the transition from local development to Cloud Run. Additionally, Cloud Run now supports GPUs for AI workloads, enhancing its capabilities for deploying large language models and other complex applications.

Google Cloud Launches Simplified Bucket Relocation for Cloud Storage

Google Cloud has introduced a new feature for Cloud Storage called bucket relocation, which simplifies the process of moving data between locations without the need for complex manual planning. This feature ensures minimal downtime and preserves object metadata, including storage class and time-in-class, during the relocation process. It utilizes asynchronous data transfer to maintain ongoing operations and is part of the Storage Intelligence suite, which includes tools for optimizing storage environments.

Google Cloud Launches Managed Lustre for High-Performance AI/ML Workloads

Google Cloud has announced the general availability of Managed Lustre, a high-performance parallel file system designed for AI/ML workloads. It offers four performance tiers with throughput ranging from 125 MB/s to 1000 MB/s per TiB, scaling up to 8 PB of storage. Managed Lustre supports high-throughput inference, large-scale model training, and scientific simulations, providing sub-millisecond read latency and flexible pricing options.

Vertex AI Launches Memory Bank for Enhanced Conversational Agent Memory

Google Cloud's Vertex AI introduces Memory Bank, a new managed service designed to enhance conversational agents by providing long-term memory. This feature allows agents to personalize interactions, maintain continuity across sessions, and improve user experience by recalling user preferences and past interactions. Memory Bank integrates with the Agent Development Kit and uses Gemini models to analyze conversation history and extract relevant memories efficiently.

❤️ You might also like

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  • OpenAI will launch an AI browser to rival Google LINK

  • Perplexity launches Comet, an AI-powered web browser LINK

  • Microsoft shares $500M AI savings internally after 9,000 layoffs LINK

  • Nvidia becomes world’s most valuable public company at $4 trillion LINK

  • Microsoft, OpenAI, Anthropic announce free AI academy with national teachers' union LINK

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